Keyword Clustering Research Articles

Research Atlas Analysis on the Application of Huoxue Lishui Method (Promoting Blood Circulation and Diuresis) in Ophthalmology Based on VOSviewer’s and CiteSpace’s Methods

Abstract Objective: The objective of this study was to summarize the research context, hotspots, and the development trend of Huoxue lishui method in ophthalmology in the past decade by reviewing the relevant publications. Materials and Methods: Relevant publications on the application of Huoxue lishui method in ophthalmology from January 1, 2011, to December 31, 2021, in databases such as CNKI, VIP, and Wanfang were retrieved. The analysis of coauthorship, keyword co-occurrence, keyword clustering, keyword emergence, and keyword timeline map of the publications was done with bibliometrics tools CiteSpace and VOSviewer. Results: A total of 100 publications were included in the analysis. The year 2020 saw the publication of most papers concerning the application of Huoxue lishui method in ophthalmology. High-frequency words are macular edema, Huoxue lishui, diabetic macular edema, Huoxue lishui method, Huoxue lishui formula, and promoting Qi and nourishing Yin. Three research hotspots were identified through keyword clustering analysis. Keyword emergence analysis and keyword timeline map indicated that a combined treatment of Huoxue lishui method and promoting Qi and nourishing Yin and diabetic ophthalmology is predicted to be research frontiers. Conclusions: Through the use of knowledge maps, this article reveals the research status in this field in the past decade and highlights the major directions, research hotspots, and development trends, providing references for further research in this field.

Physiology education and research in the European Higher Education System — a case study from Portugal

The “Future of Physiology” has become a recurring theme worldwide in discussions amongst Physiology organizations. The Bologna Process fostered a proper higher education environment within Europe, comparable with the USA and UK. This paper presents a current view of Physiology teaching within Portugal, an EU member state and part of the European High Education Area (EHEA). Data was sourced from the governmental agency DGES (from September to November 2022) to identify institutions and curricula featuring disciplines (CU/D) aligned with human Physiology. The teaching modalities, hours, and credits for Human Physiology disciplines were obtained from the institutions’ websites, yielding a database with 365 courses/degrees and 764 distinct Physiology CU/D. In the second stage, a bibliometric analysis of the lecturers’ scientific production from 2017-2022 was conducted using the VOSviewer v 1.6.19 to construct and visualize the key word co-occurrence networks and clusters. A thematic analysis of words in each cluster was then performed to identify common themes. Important divergences appeared, particularly between universities and technical colleges. In technical colleges, Physiology is prevalent in the first year, while in universities, Physiology-related CU/Ds are sequentially present from the first year until late in the course, indicating a progression in advanced knowledge and its application. These differences might be related to the different structural organization of these institutions and likely reflect the differences between facilities, available teaching-learning instruments, and staff preparation. The bibliometric analysis revealed considerable asymmetries in the scientific profile of the teaching staff. revealed Significant differences between university and technical colleges’ scientific production are clear: staff with relevant production were affliated with reference university centers or research units. A pronounced concentration of research interests in two primary domains, classified in the thematic analysis as Medical Physiology and Lifestyle Physiology, was found, with researchers' preferences focusing on biomedical research and innovation, cardiovascular function, sport performance, and well-being. These findings might be common within the EHEA, and do not raise any immediate concerns regarding Physiology as a discipline at present. On the contrary, they suggest that Physiology is clearly recognized as important in health education. Physiology teaching and learning must not lose sight of its primary role as an an integrated science of life required to shape the approach and rationale applied to problems requiring our understanding of health and disease, Physiology teaching and learning continue to be critical in human health education and research. This work is financed by national funds through FCT - Foundation for Science and Technology, I.P., under the UIDB/04567/2020 and UIDP/ 04567/2020 projects. João Gregório is funded by Foundation for Science and Technology (FCT) Scientific Employment Stimulus contract with the reference number CEEC/CBIOS/EPH/2018. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Visual Analysis of Sanyinjiao(SP6) Studies Based on CiteSpace

Objective To conduct a visual analysis of literature around the Sanyinjiao (SP6), and to explore the research process, hot spots and future development trend of the Sanyinjiao (SP6) in the past 20 years. Methods CNKI was used as the data source, and the basic and clinical research literature collected from January 2000 to December 2022 were visually analyzed by using citespace software, and the relevant maps of keywords, authors and institutions were drawn. Results In the basic study, 287 articles were included, and 9 keywords were clustered, with the highest acupuncture centrality (0.46), the author with the highest number of publications was Zhu Jiang (33 articles), and the institution with the largest number of publications was the School of Acupuncture and Tuina of Beijing University of Chinese Medicine (42 articles). The clinical study included 1794 articles, and 9 keyword clusters were obtained, Yinlingquan had the highest centrality (0.46), the authors with the most publications were Zhu Jiang, Wang Pei, Hu Shangqing, Ma Yuxia (7 articles), and the institution with the largest number of publications was Guangzhou University of Chinese Medicine (59 articles). Conclusion The dynamics and trends of the number of literature changes in basic and clinical research are revealed, and the research content and research hotspots of Sanyinjiao(SP6) in basic and clinical applications are analyzed.

A systematic literature review of crisis management in online public opinion: evolutionary path and implications for China

PurposeThis study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.Design/methodology/approachThis research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.FindingsThe results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.Originality/valueThis study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

Applications of artificial intelligence in the AEC industry: a review and future outlook

ABSTRACT In the context of “Industry 4.0,” the construction industry is undergoing a continuous process of digital transformation. In recent years, with the rapid development of artificial intelligence (AI) technology, AI has been successfully applied across various domains within the construction sector. This paper conducts a comprehensive review based on scientific bibliometric analysis and systematic evaluation to provide an overview of AI applications and developments in the architecture, engineering, and construction (AEC) industry, as well as to discuss future research trends. Firstly, a bibliometric analysis was carried out on 3,410 journal articles published between 2003 and 2022. This analysis examined characteristics such as annual publication trends, key researchers and their affiliations, countries of origin, collaborative relationships, prominent journals, and keyword clustering. Subsequently, through systematic review, three critical themes in the field were identified and analyzed: performance prediction, intelligent optimization, and engineering safety and risk. To gain a deeper understanding of cutting-edge AI technologies and their potential applications in the AEC sector, potential future research directions were discussed, including digital twins, blockchain, augmented reality, and virtual reality, all aimed at driving the intelligent and digital transformation of the AEC industry.

Research Hotspot and Trend of Digital Clothing Based on Bibliometric Map

Objective: To explore the research status of digital technology in the field of clothing, analyze research hotspots and frontier trends, and provide ideas and references for subsequent research topics. Methods: CNKI database was used as the data source of Chinese literature, Web of Science core database as the data source of English literature, and CiteSpace 6.2.R5 visual tool software was used. This paper visually analyzes the research status of digital technology in the field of clothing from the aspects of cooperation between authors and institutions, keyword co-occurrence, keyword clustering and emergence analysis, and draws correlation maps for comparative study. Results: A total of 118 Chinese literatures and 1418 English literatures were included. The analysis shows that the total number of papers published by Chinese and foreign institutions is on the rise, but there are great differences in research hotspots. The data sources of Chinese literature are mainly digital technology, intelligent clothing, intelligent manufacturing, etc. The data sources of English literature are mainly reflected in the continuous research of social media, clothing industry and purchase intention. Conclusion: Researchers and institutions should grasp the hot spots and trends in the field of digital clothing, strengthen exchanges and cooperation between China and foreign countries, provide theoretical support and practical guidance for academia and industry, promote the effective integration of digital technology and clothing industry, and inject new vitality and innovation.

Clinical Application of MRI in Coronavirus Disease 2019: A Bibliometric Analysis.

Currently, coronavirus disease 2019 (COVID-19) continues to remain in the pandemic stage, leading to severe challenges in the global public healthcare system. Magnetic resonance imaging (MRI) methods have played an important role in the diagnosis of COVID-19 and the structural evaluation of the affected organs. Reviewing and summarizing the application of MRI has significant clinical implications for COVID-19. The study aimed to analyze literature related to the application of MRI in COVID-19 using bibliometric tools, to explore the research status, hotspots, and developmental trends in this field, and to provide a reference for the application of MRI in the clinical diagnosis and evaluation of COVID-19. We used the Web of Science Core Collection database to search and collect relevant literature on the use of MRI in COVID-19. The authors, institutes, countries, journals, and keyword modules of the bibliometric analysis software CiteSpace and VOSviewer were used to analyze and plot the network map. A total of 1506 relevant articles were shortlisted through the search; the earliest study was published in 2019, showing an overall upward trend every year. The research was mainly presented as published articles. Clinical neurology was found to be the primary discipline. The United States had the highest publication volume and influence in this field. Countries around the world cooperated more closely. The Cureus Journal of Medical Science was the main periodical to publish articles. Institutes, such as Harvard Medical School, Mayo Clinic, and Massachusetts General Hospital, have published a large number of papers. Some of the high-frequency keywords were "COVID-19", "SARS-CoV-2", "magnetic resonance", "myocarditis", and "cardiac magnetic resonance imaging". The keyword clustering study showed that the current research mainly focuses on five "hot" directions. There is a need to strengthen cross-teamwork and multidisciplinary collaboration in the future to completely explore the positive role of MRI in COVID-19 and to discover breakthroughs for the challenges in the clinical diagnosis and treatment of COVID-19.

Understanding Research Dynamics in Job Stress

The objective of this analysis is to conduct a bibliometric analysis to map the research on work stress. This will be done by employing quantitative methods such as network, overlay, and density cluster models to analyze the research on work stress over a span of 11 years. Data are extracted from the scientific literature in the Science Direct database using the keyword "job stress," in which a total of 180 relevant articles were identified. These articles were analyzed using algorithms in Vosviewer to identify common topics in stress research. The analysis revealed that work-related stress studies frequently discuss 39 key topics, as determined by researchers. Through bibliometric analysis utilizing a network visualization model, it has been determined that there are six recurring clusters of keywords. The initial cluster, highlighted in red, comprises a total of 11 keywords. The terms "job stress" and "job satisfaction" have been the primary focus of research in the field of job stress analysis from 2013 to 2023. In response to the analysis of overlay visualization, the keyword "job stress" has been frequently examined from the past to the present. According to the density visualization analysis, the keywords "job stress" and "job satisfaction" exhibit the most intense and prominent colors, suggesting that numerous researchers have conducted studies on job stress.

Visual analysis on the study status and trends of acupuncture and moxibustion for Alzheimer's disease.

The research history, hot spots and frontier trends of acupuncture and moxibustion for Alzheimer's disease (AD) were explored using knowledge graph technology. The articles on acupuncture and moxibustion for AD were searched from 6 databases, i.e. CNKI, VIP, Wanfang, SinoMed, Pubmed and Web of Science, from January 1st, 1993 to January 1st, 2023. Using CiteSpace6.2.R2 Advance and VOSviewer V1.6.19 softwares, the knowledge map was graphed and the visual analysis was performed. A total of 1 228 Chinese and 309 English articles were included. The high-frequency keywords were generally divided into the keywords of clinical diseases (AD, dementia), those of therapeutic methods (electroacupuncture, acupuncture-moxibustion and acupuncture) and those of mechanism study (β-amyloid, mice). Thirteen keyword clusters were formed among the articles of Chinese version, e.g. acupuncture-moxibustion, dementia, acupuncture and electroacupuncture; and 8 clusters were obtained among English articles, e.g. electroacupuncture, drug therapy and hippocampus. The high-frequency keywords of acupoints included Baihui (GV 20), Dazhui (GV 14), Yintang (GV 24+), Zusanli (ST 36), Fenglong (ST 40), etc. Six clusters of "acupuncture techniques → acupoints" were obtained for the treatment of AD with acupuncture and moxibustion. The therapeutic methods and modes of AD with acupuncture and moxibustion are constantly progressed, the development of clinical research tends to the evaluation of novel therapeutic mode and clinical effect, and the mechanism of acupuncture and moxibustion for the effect on AD are more deeply explored. Among the various therapeutic methods, acupuncture-moxibustion, acupuncture and electroacupuncture have been early predominant; while, many novel methods are gradually displayed later, such as music electroacupuncture and hydro-acupuncture. In recent 30 years, among Chinese and English articles for the studies of AD treated with acupuncture and moxibustion, the theme of them focuses on the two aspects, the observation of clinical effect and the mechanism research. It is found that the clinical therapeutic methods have been gradually improved and the mechanism exploration been deepened.

The Role of Botulinum Toxin Type-A in Spasticity: Research Trends from a Bibliometric Analysis.

Botulinum toxin type-A (BoNT-A) has emerged as a key therapeutic agent for the management of spasticity. This paper presents a comprehensive bibliometric and visual analysis of research concerning BoNT-A treatment of spasticity to elucidate current trends and future directions in this research area. A search was conducted in the Web of Science database for articles focused on the use of BoNT-A in spasticity published between 2000 and 2022. We extracted various metrics, including counts of publications and contributions from different countries, institutions, authors, and journals. Analytical methods in CiteSpace were employed for the examination of co-citations, collaborations, and the co-occurrence of keywords. Our search yielded 1489 publications. Analysis revealed a consistent annual increase in research output. The United States, United Kingdom, and Italy were the leading contributors. The top institution in this research was Assistance Publique Hopitaux, Paris. The journal containing the highest number of relevant publications was Toxins. Key frequently occurring keywords were 'stroke', 'cerebral palsy', 'adult spasticity', and 'upper extremity'. This study identified 12 clusters of keywords and 15 clusters of co-cited references, indicating the main focus areas and emerging themes in this field. This study comprehensively analyzed and summarized trends in BoNT-A research in the field of spasticity over the past 22 years.

Research progress and hotspot evolution analysis of wildfire disasters in national park communities

In recent years, wildfire disasters have had an essential impact on national park communities' social, economic, and ecological structure, which has gradually become the forefront of academic attention. Therefore, to review the research history of wildfire disasters in national park communities, this paper used CiteSpace and Bibliometric R analysis tools to conduct a detailed analysis of 328 kinds of literature in the Web of Science database from 2002 to 2023. The data showed that the number of papers published was rising, and the subjects involved included ecology, botany and zoology. However, there is still a need for increased collaboration among the collaborating groups of authors, institutions, and countries. From the perspective of the research content, it mainly focused on the mathematical model and established a comprehensive database to simulate and predict wildfire disasters. Finally, we predict a future research direction using keyword clustering and burst detection -the management framework for wildfire disaster risk prevention. The key points include improving the governance mode of the country, community and enterprise and improving the simulation and prediction ability of mathematical models. This study provided a reference for promoting wildfire hazard risk identification and management in national park communities.

An academic achievements visualization research since the 21st century: research on salvage surgery for head and neck cancer.

Head and neck cancer is the 6th most common malignancy worldwide, and its incidence is still on the rise. The salvage surgery has been considered as an important treatment strategy for persistent or recurrent head and neck cancer. Therefore, we conducted a bibliometric analysis of salvage surgery for head and neck cancer since the 21st century. The literature about salvage surgery of head and neck cancer in Web of Science was searched. CiteSpace and VOSviewer were used to analyze main countries, institutions, authors, journals, subject hotspots, trends, frontiers, etc. A total of 987 papers have been published since the 21st century. These publications were written by 705 authors from 425 institutions in 54 countries. The United States published 311 papers in this field and ranked first. Head & Neck was the most widely published journal. The main keyword clustering included terms such as #0 stereotactic radiotherapy (2012); #1 randomized multicenter (2007); #2 salvage surgery (2004); #3 functional outcomes (2014); #4 transoral robotic surgery (2013); #5 neck high-resolution computed tomography (2010); #6 complications (2008); #7 image guidance (2019). The current research frontiers that have been sustained are "recurrent", "risk factors", and "reirradiation". The current situation of the salvage surgery for head and neck cancer in clinical treatments and basic scientific research were summarized, providing new perspectives for the development of salvage surgery for head and neck cancer in the future.

Comparing semantic representation methods for keyword analysis in bibliometric research

Semantic representation methods play a crucial role in text mining tasks. Although numerous approaches have been proposed and compared in text mining research, the comparison of semantic representation methods specifically for publication keywords in bibliometric studies has received limited attention. This lack of practical evidence makes it challenging for researchers to select suitable methods to obtain keyword vectors for downstream bibliometric tasks, potentially hindering the achievement of optimal results. To address this gap, this study conducts an experimental comparison of various typical semantic representation methods for keywords, aiming to provide quantitative evidence for bibliometric studies. The experiment focuses on keyword clustering as the fundamental task and evaluates 22 variations of five typical methods across four scientific domains. The methods compared are co-word matrix, co-word network, word embedding, network embedding, and “semantic + structure” integration. The comparison is based on fitting the clustering results of these methods with the “evaluation standard” specific to each domain. The empirical findings demonstrate that the co-word matrix exhibits subpar performance, whereas the co-word network and word embedding techniques display satisfactory performance. Among the five network embedding algorithms, LINE and Node2Vec outperform DeepWalk, Struc2Vec, and SDNE. Remarkably, both the “pre-training and fine-tuning” model and the “semantic + structure” model yield unsatisfactory results in terms of performance. Nevertheless, even with variations in the performance of these methods, no singular approach stands out as universally superior. When selecting methods in practical applications, comprehensive consideration of factors such as corpus size and semantic cohesion of domain keywords is crucial. This study advances our understanding of semantic representation methods for keyword analysis and contributes to the advancement of bibliometric analysis by providing valuable recommendations for researchers in selecting appropriate methods.

Patient engagement in designing and publishing research in prostate cancer: a scoping review.

Patients with cancer have the unique ability of being able to offer valuable insights into how cancer therapeutics may impact the overall patient experience and improve clinical outcomes. Patient engagement could therefore contribute to tailoring treatment strategies and research design according to patient needs. This study evaluated patient engagement in prostate cancer research by identifying patient input in the prostate cancer literature. We performed a keyword cluster analysis of articles from multiple databases and congresses in which patients provided input on disease management or were involved in study design, manuscript authorship or presentation of results (patient voice). In total, 112 studies were included. Patients were involved in the design of 11studies and were credited as authors in four studies. This review suggests a lack of meaningful patient involvement in prostate cancer research and publications.

The development and evolution of the research topic on the mental health of college students: A bibliometric review based on CiteSpace and VOSviewer

BackgroundWith the advances in society and in response to changing times, college students have had to face multiple challenges. These challenges frequently affect the mental health of college students, leading to significant consequences for their social lives, personal well-being, and academic achievements, thereby attracting extensive societal attention. Therefore, examining the current status of research topics related to the mental health of college students can assist academia in dissecting the influencing factors and seeking solutions at their source or through early intervention. This can contribute to a better understanding of and effectively address this challenge. MethodCiteSpace and VOSviewer were used to conduct a bibliometric analysis of 1609 journal articles indexed in the Web of Science (WoS) database over the past two decades (2000–2022), which helped identify the current state of research and hot topics in the field based on development trends. Furthermore, this study analyzes and discusses the core authors, high-productivity countries and organizations, key journals, and keyword clustering in this field. This study clarifies the current research landscape, analyzes evolving trends based on developmental trajectories, and identifies forefront research hotspots. This study provides scholars with reference research directions and ideas for conducting subsequent studies. ResultsSince the beginning of the 21st century, research on college students’ mental health has increased, especially in the past three years, and due to the impact of the COVID-19 pandemic and online distance learning, the number of publications has increased rapidly. With the increase in attention and publication volume, the countries and organizations contributing papers as well as core journals have all started to take shape. Cluster and evolution analyses found that several stable research topics have been formed in this research field, and many new and diverse topics are continuously emerging with time. Conclusionand prospect: The findings prove that the field of college students’ mental health has begun to take shape, gradually shifting from conceptual research to the implementation of specific interventions. However, whether specific interventions are effective and how effective they are require further investigation.

긍정적행동지원 연구 동향에 대한 서지학적 분석*

In the 1980s, Positive Behavior Support (PBS) emerged in response to inappropriate or abusive outcomes applied to students with developmental disabilities such as intellectual disabilities and autism spectrum disorders. Throughout its half-century history, PBS has made a lot of progress. This study systematically reviewed research in the PBS field using bibliometric analysis. To perform this study, 530 papers on PBS were extracted from the Web of Science database (1996-2023) and visual analysis of PBS research trends was conducted using the “CiteSpace” tool. The results are as follows: Firstly, based on the number of published studies related to PBS, the timeline can be divided into four phases: (1) the initial period from 1996 to 2001, (2) the growth period from 2002 to 2015, (3) the maturity period from 2016 to 2020, and (4) the adjustment period from 2021 to the present. Secondly, based on the number of authors in PBS-related studies, researchers such as R. H. Horner, K. McIntosh, G. Sugai, T. J. Dishion, and G. Dunlap are taking a leading position. Thirdly, based on the keywords of PBS-related research, research hot-spots are concentrated in areas such as intervention, students, children, implementation, and challenging behaviors. Fourthly, based on the keyword cluster of PBS-related research, while there was initially an emphasis on individual student behavior problems, recent emphasis has shifted towards school-wide application. This study contributes to understanding the historical progress and future directions of PBS research, aiding in the systematic comprehension of PBS development and application trends.

Bibliometric analysis of the pirfenidone and nintedanib in interstitial lung diseases

BackgroundAt the beginning of 21st century, reclassification of fibrosing interstitial lung diseases (ILD) scored academic concerning, and then propelled development. Decade before, pifenidone and nintedanib were approved for idiopathic pulmonary fibrosis, but no more drugs are yet available. To evaluate the development traits of pirfenidone and nintedanib in fibrosing ILD, including the influential country, institution, authors, keywords, and the major problems or the priorities of the field emerge and evolve, bibliometric analysis was used to summarize and draw scientific knowledge maps. MethodsWe confined the words to “pirfenidone”, “nintedanib”, “pulmonary fibrosis”, and “lung disease, interstitial”. Publications were retrieved from the Web of Science Core Collection on February 24, 2024 with the search strategies. Citespace and VOSviewer were adopted for bibliometric analysis. ResultsFor the knowledge map of pirfenidone, a total of 4359 authors from 279 institutions in 58 countries/regions contributed to 538 studies. The United States and Italy are way ahead. Genentech Inc and the University of Turin are the institutions with the strongest influence. AM J RESP CRIT CARE is the maximized influential periodical. Raghu G was the most frequently co-cited scholar. keywords cluster demonstrated that vital capacity, safety, outcome, effectiveness, acute exacerbation, pathway, cell, collagen were the hotspots. The burst timeline of hotspots and references revealed academic transitions of pirfenidone-related studies. About the knowledge map of nintedanib, 3297 authors from 238 institutions in 47 countries/regions published 374 studies. Japan, the United States, and Italy are the most productive countries. Boehringer Ingelheim is the overriding productive institution. New ENGL J MED have important roles in reporting milestones of nintedanib. Richeldi L carried numerous capital publications to support the anti-fibrotic effect of nintedanib. From the network of co-occurrence keywords, idiopathic pulmonary fibrosis, efficacy, and safety were the hotspots. Nintedanib for systemic sclerosis-related ILD and progressive pulmonary fibrosis is the hotspot with sharp evolution recently. ConclusionsWe summarized and showed developmental alterations of pirfenidone and nintedanib in fibrosing ILD through bibliographic index-based analysis. Our findings showed just dozen years sharp development period of pirfenidone and nintedanib in ILD, and identifies potential partners for interested researchers. The burst of hotspots demonstrated the evolvement of research priorities and major problems, and we observed the transition of keywords from experimental terms like mouse, bleomycin, cell, pathway, collagen, gene expression, to clinical terms including efficacy, safety, survival, acute exacerbation, and progressive pulmonary fibrosis. In the future, exploration about disparity models of drug administration, differences between early and later initiate anti-fibrotic therapy, both short-term and long-term efficacy of pirfenidone and nintedanib in fibrosing ILD, specifically in connective disease associate ILD would be emphatically concerned by pulmonologists.

Advances in stem cells treatment of diabetic wounds: A bibliometric analysis via CiteSpace.

Diabetes is a chronic medical condition that may induce complications such as poor wound healing. Stem cell therapies have shown promise in treating diabetic wounds with pre-clinical and clinical studies. However, little bibliometric analysis has been carried out on stem cells in the treatment of diabetic wounds. In this study, we retrieved relevant papers published from January 1, 2003, to December 31, 2023, from Chinese and English databases. CiteSpace software was used to analyze the authors, institutions, and keywords by standard bibliometric indicators. Our analysis findings indicated that publications on stem cells in the treatment of diabetic wounds kept increasing. The most prolific author was Qian Cai (n=7) and Mohammad Bayat (n=16) in Chinese and English databases, respectively. Institutions distribution analysis showed that Chinese institutions conducted most publications, and the most prolific institution was the Chinese People's Liberation Army General Hospital (n=9) and Shahid Beheshti University of Medical Sciences (n=17) in Chinese and English databases, respectively. The highest centrality keyword in Chinese and English databases was "wound healing" (0.54) and "in vitro" (0.13), respectively. There were 8 and 11 efficient and convincing keyword clusters produced by a log-likelihood ratio in the Chinese and English databases, respectively. The strongest burst keyword was "exosome" (strength 3.57) and "endothelial progenitor cells" (strength 7.87) in the Chinese and English databases, respectively. These findings indicated a direction for future therapies and research on stem cells in the treatment of diabetic wounds.

Mapping the role of financial management in healthcare: Bibliometric analysis of Middle Eastern region

The study aims to emphasize the importance of financial management within the healthcare sector using bibliometric analysis techniques like influential authors, countries, journals, and publications. The researcher used the Scopus database for the extraction of required data. For this purpose, several relevant keywords and synonyms related to financial management in healthcare were used as advanced search options in the Scopus database. The bibliometric keyword cluster analysis indicated that financial management plays a significant role in health insurance, funding, cost, expenses, financing, and insurance related to healthcare units in Middle Eastern regions. The most influential top 5 countries for research in the financial management of healthcare units in the Middle Eastern region are Iran, Lebanon, Egypt, UAE, and Saudi Arabia respectively. Similarly, the most influential journal in this domain is “Eastern Mediterranean Health Journal published by World Health Organization”. Additionally, the most influential authors in this research domain are Ammar, Walid S from Lebanon, and Rashidian, Arash from Iran. The findings of this bibliometric study are specifically important for practitioners, administrators, and policymakers in the healthcare sector of the Middle East region for making valuable decisions regarding financial management practices.

Relationship between the microenvironment and survival in kidney transplantation: a bibliometric analysis from 2013 to 2023.

Kidney transplantation is considered the most effective treatment for end-stage renal failure. Recent studies have shown that the significance of the immune microenvironment after kidney transplantation in determining prognosis of patients. Therefore, this study aimed to conduct a bibliometric analysis to provide an overview of the knowledge structure and research trends regarding the immune microenvironment and survival in kidney transplantation. Our search included relevant publications from 2013 to 2023 retrieved from the Web of Science core repository and finally included 865 articles. To perform the bibliometric analysis, we utilized tools such as VOSviewer, CiteSpace, and the R package "bibliometrix". The analysis focused on various aspects, including country, author, year, topic, reference, and keyword clustering. Based on the inclusion criteria, a total of 865 articles were found, with a trend of steady increase. China and the United States were the countries with the most publications. Nanjing Medical University was the most productive institution. High-frequency keywords were clustered into 6 areas, including kidney transplantation, transforming growth factor β, macrophage, antibody-mediated rejection, necrosis factor alpha, and dysfunction. Antibody mediated rejection (2019-2023) was the main area of research in recent years. This groundbreaking bibliometric study comprehensively summarizes the research trends and advances related to the immune microenvironment and survival after kidney transplantation. It identifies recent frontiers of research and highlights promising directions for future studies, potentially offering fresh perspectives to scholars in the field.