Hot Topics Research Articles

Research trends on forensic entomology for five decades worldwide

Forensic entomology, the study of insects and arthropods in criminal investigations, is crucial for estimating postmortem intervals, determining changes in corpse positioning, and identifying causes of death. This study analyzes global research trends in forensic entomology using data from the Scopus database spanning 1970 to 2024, with data visualized through VOSviewer. A total of 2,261 articles were identified, with an average productivity of 42 papers per year. The leading countries in forensic entomology research are the United States (n = 444), Brazil (n = 266), China (n = 198), the United Kingdom (n = 194), and Germany (n = 156). Current hot topics in the field include pupae, feeding behavior, beetles, and genetics. These findings underscore the ongoing interest and advancements in forensic entomology, highlighting its significance and diverse applications in criminal investigations.

Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis

Forests are critical in regulation of carbon and water cycles and mitigation of climate change. Forest water-use efficiency (WUE) refers to the ratio of biomass produced (or assimilated carbon) to the amount of water used by forests, which indicates how effectively a forest utilizes water to achieve productivity. Climate change and its impact on forest WUE are important research directions that explore the complex relationship between global environmental change and the forest ecosystem dynamics. The global intensification of climate change underscores the need for an inclusive understanding of forest water use and makes it crucial to know how forests balance carbon and water resources, which is essential for effective forest management and predicting ecosystem responses to climate change. This study aims to comprehensively and objectively analyze current research trends and future directions related to the response of forest WUE to climate change. Our database included 1755 research papers from the Web of Science Core Collection, spanning from 2000 to 2023. Our analysis included cooperative networks of countries, authors, and institutions, as well as the most frequently cited journals and articles, keyword co-occurrence analysis, and a keyword burst analysis. The results showed that the top cooperative country, author, and institution is PR China, Prof. Dr. Jesús Julio Camarero from the Consejo Superior de Investigaciones Científicas (CSIC), and the Chinese Academy of Sciences, respectively. The leading journal in this field is “Global Change Biology”. Critical research hot topics include gas exchange, modeling, altitudinal gradients, tree growth dynamics, net carbon exchange, global change drivers, tropical forests, nitrogen stoichiometry, Northern China plains, and extreme drought conditions. Frontier topics that have emerged in recent years include studies on China’s Loess Plateau, stable isotopes, radial growth, gross primary productivity, and Scots pine. The insights from this analysis are vital for researchers, decision-makers, and forestry professionals aiming to mitigate the impacts of climate change on forest WUE and overall ecosystem health and resilience. This study emphasizes the importance of sustained research efforts and global research collaboration in addressing the intricate challenges posed by climate change to forest ecosystems.

Bibliometric analysis of orexin: A promising neuropeptide.

Orexin is an excitatory neuropeptide produced in the lateral hypothalamus, playing a role in various physiological functions in humans. There is a growing body of literature on orexins. This paper utilizes CiteSpace software to organize and analyze a significant number of articles on orexin, providing readers with an intuitive overview of research trends and emerging hot topics in this field. The electronic database, Web of Science Core Collection (WoSCC), was searched for publications related to orexins. Annual publications, countries/regions, institutions, authors and keywords were analyzed, and the results were visualized via CiteSpace software. A total of 5486 publications were included, with articles making up 85.30% and reviews 14.70%. The top 3 countries publishing the most papers on orexins were the United States (2057 papers), Japan (778), and China (556). The leading institutions included Research Libraries UK (278), Harvard University (250), and Stanford University (221). The most prolific authors in the field were Yves Dauvilliers (69), Abbas Haghparast (67), and Takeshi Sakurai (66). The most frequently used keywords were "neurons" (981), followed by "sleep" (824), "food intake" (612), "receptors" (547), and "neuropathology" (535). Recent research hotspots include melanin-concentrating hormone neurons, Alzheimer disease, gamma-aminobutyric acid neurons, oxidative stress, suvorexant, the orexin system, prevalence, and stress. Based on keyword clustering analysis, the top 5 research hotspots from 2003 to 2022 were: the effects of orexins on sleep and metabolism, potential pathways of orexin signaling, the relationship between orexin and immunity, new findings on depression and hypertension related to orexin, and possible targets for neurodegenerative diseases. Orexin, a neuropeptide linked to various physiological and pathological processes, plays a crucial role in sleep/wakefulness, reward mechanisms, stress responses, and neurodegenerative diseases. Its significant research value and potential medical applications are underscored by the rapid expansion of studies, particularly in the USA and Japan. However, the lack of collaboration among researchers highlights the need for enhanced academic exchange and cooperation to further advance the field of orexin research.

Research Trends and Hot Topics of Nursing Studies on Hypertension: A Retrospective Bibliometric Analysis From 1979 to 2024.

This study aimed to evaluate research trends and hot topics in the 45-year history of nursing studies on hypertension (1979-2024). This retrospective bibliometric analysis study was conducted with 2678 data obtained from the WoSCC database on April 1, 2024. Data analysis and graphical presentation were presented using the Bibliometrix Package in R software, VOSviewer, and WoSCC. The study revealed that nursing studies on hypertension were growing rapidly in the scientific world. The most productive journal in the field was the Journal of Clinical Nursing, while the most productive and collaborative country was the United States. "Frailty," "COVID-19," "complications," "Meta-analysis," "vital signs," "systematic review", "self-care," and "chronic disease" were determined as hot topics. "COVID-19" and "mhealth" were global trends. Additionally, the issues of "anxiety, pair, vital signs" and "elderly, nursing home, mortality" needed to be addressed more by nurses. Nursing studies on hypertension have increased to date. This area is likely to continue to be an active area of study for nursing researchers in the coming years. Focusing on the topics "anxiety, pair, vital signs" and "elderly, nursing home, mortality" will contribute to filling the gap in the field.

Effectiveness and safety study of formula containing probiotics, prebiotics, synbiotics on fullterm infants' growth - a systematic review and meta-analysis of randomized controlled study.

Probiotics, prebiotics, and synbiotics, are hot topics of research and have been shown to improve the body's disease state and promote health. Analysis of whether infant formula containing probiotcs, prebiotics, synbiotics is beneficial to infant and child growth. We systematically searched multiple electronic databases (PubMed, Web of Science, The Cochrane Library, Embase) to identify eligible studies published from 1966 to December 25, 2022. Included studies were randomized controlled trials (RCTs) studying the influence of milk powder containing probiotcs, prebiotics, synbiotics on infants and children's growth. RevMan 5.4 was used to analyze the data. A total of 55 RCTs with a total sample size of 8868 participants met the inclusion criteria. Milk powder with probiotics, prebiotics, synbiotics does not significantly improve the growth of infants and children (Weight, height, BMI, and Head Circumference); The incidence of minor adverse events (OR 0.88, 95% CI 0.70-1.11 P = 0.28) and serious adverse events (OR 0.92, 95% CI 0.62-1.36 P = 0.67) was also comparable to the control group; The intestinal microbial diversity of infants consuming probiotcs, prebiotics, synbiotics supplemented formula was lower than that of infants consuming formula without probiotcs, prebiotics, synbiotics (SMD -0.88, 95% CI -1.66- -0.1 P = 0.03), but the abundance of individual beneficial flora was increased. (SMD 1.62, 95%CI 0.61-2.62 P = 0.002). In particular, the abundance of Lactobacillus (SMD 1.62, 95% CI 0.61-2.62 P = 0.002). For metabolites, synbiotics increased fecal antibody concentrations (SMD 0.47, 95% CI 0.08-0.86 P = 0.02), but fecal short-chain fatty acid concentrations remained balanced in both groups (SMD 0.05 95% CI -0.17-0.28 P = 0.64). Compared to the control group, infants who consumed formula with prebiotics had softer stools (SMD -1.47, 95% CI -2.23 to -0.7 P = 0.002) and lower stool pH (SMD -0.82, 95% CI -1.15- -0.5 P < 0.00001), there is also more frequency of bowel movements (SMD 0.27, 95% CI 0.09-0.44 P = 0.002). Probiotcs, prebiotics, synbiotics supplemented formulas significantly increased abundance of individual probiotics, alter intestinal antibody secretion, and improve bowel movements. Incidence of adverse reactions did not differ between the two groups. So we can choose formula-supplemented probiotcs, prebiotics, synbiotics to maintain the intestinal health of infants.

Research hot topics and frontiers in social anxiety over the past decade: a CiteSpace bibliometric analysis based on Web of Science database from 2013 to 2023

ObjectiveTo understand the current study of social anxiety (SA) over the past decade, and to analyze the research hot topics and frontiers in this field.MethodsCiteSpace 6.2.R3 was used to analyze the literature on SA collected in the Web of Science Core Collection database from 2013 to 2023.ResultsA total of 9940 literature were included after the screening, and the annual publication volume showed a steady increase. The results emphasize that Zvolensky MJ, Pine DS, and Heimberg RG are important authors in the field of SA. The United States has the highest number of publications, with the University of California System contributing the most. Research hotspots include cognitive impairment, risk factors, complications, neuroimaging, and intervention strategies. SA related to the “theory of mind”, “bullying victimization”, “mobile phone”, “network analysis”, “technology”, and “satisfaction” are emerging research foci.ConclusionThis study identifies the current situation and trends of SA research, and provides a reference for future research topics and directions.

Research on power battery anomaly detection method based on improved TimesNet

Health monitoring and abnormality detection of power batteries for new energy vehicles has been one of the hot topics in recent years. Accurate and efficient power battery anomaly detection is crucial to ensure stable operation of the battery system and energy saving. However, power battery data are often non-linear and unstable due to external factors, such as temperature conditions, which pose challenges for anomaly detection. Existing methods for collecting battery data’s temporal and spatial features are available, but many of them yield suboptimal detection accuracy and feature extraction efficiency due to their disregard for the multi-periodicity of the data. This paper proposes a novel network structure for power battery anomaly detection based on an improved TimesNet. Firstly, the original battery data undergo preprocessing, and the feature correlation coefficient matrix is established using the MIC algorithm. Secondly, the improved TimesNet network is employed to convert the one-dimensional time feature sequence into a two-dimensional tensor, enabling the extraction of temporal features and dependencies at various cycle scales. Finally, the two-dimensional tensor is transformed into a one-dimensional time series, which undergoes information-weighted aggregation to obtain the final anomaly detection results. To assess the effectiveness and generalization of the proposed model, experiments are conducted using Battery and four public datasets for anomaly detection. The experimental results demonstrate that the proposed model outperforms the transformer, autoformer, TimesNet, and Dlinear models, achieving an improvement of 1%–19% in the F1 value and 1%–3% in the ACC compared to the other models.

A bibliometric analysis of World Englishes based on WOS database

ABSTRACT World Englishes (WEs) was introduced to highlight the diverse and multi-polarized development of English. Many studies attempted to establish models or theories of WEs to generalize the global use of English. However, few studies reviewed the development of WEs from the bibliometric perspective, showing its current research status. The present study employed VOSviewer and CitNetExplorer to analyze 644 and 564 articles respectively, which were downloaded from Web of Science from 2013 to 2023. Both quantitative and qualitative research methodologies were utilized. The data revealed the top ten sources, organizations, countries and research hot topics in WEs. Additionally, attitude differences toward various English varieties and the transition from the WEs paradigm to English as a Lingua Franca (ELF) in the 21st century were examined. The findings were conducive to providing an overview of the present WEs research and contributing a bibliometric viewpoint on it, shedding light on future research directions.

Progress and Trends in Forage Cactus Silage Research: A Bibliometric Perspective

Opuntia spp. (forage cactus or spineless cactus) is a plant native to Mexico that is commonly used as alternative nutrient-rich fodder in semi-arid regions. Due to its resistance to drought, forage cactus has become an important least-cost ingredient for formulating balanced rations for ruminants during times of scarcity. In addition, ensiling, an anaerobic fermentation process, is also a strategy used to allow a supply of bulky food all year round, since it conserves forage and maintains its nutritional value. In this sense, using the Scopus database and the visualization tool VOSviewer, the present work proposes a bibliometric analysis of forage cactus silage to track and map the evolution and main issues in the research field, current trends, and future directions. The results revealed that the first publication was in 2013; and since 2020, the number of publications has been growing. Brazil was highlighted, by far, as the most relevant country on the topic, and the top institutions were from northeast Brazil, which has been working on co-authored articles. The current hot research topics are focusing on the mixed silage of forage cactus and other forages such as gliricidia, maniçoba, and sorghum biomass, as well as evaluating the fermentative performance and chemical characteristics for improving ruminal diets, especially for goats and sheep. This study provides important information for researchers to identify gaps and direct their studies to better use the whole potential of forage cactus as an alternative roughage source.

Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace

BackgroundThe advancements in artificial intelligence (AI) technology for image recognition were propelling molecular pathology research into a new era.ObjectiveTo summarize the hot spots and research trends in the field of molecular pathology image recognition.MethodsRelevant articles from January 1st, 2010, to August 25th, 2023, were retrieved from the Web of Science Core Collection. Subsequently, CiteSpace was employed for bibliometric and visual analysis, generating diverse network diagrams illustrating keywords, highly cited references, hot topics, and research trends.ResultsA total of 110 relevant articles were extracted from a pool of 10,205 articles. The overall publication count exhibited a rising trend each year. The leading contributors in terms of institutions, countries, and authors were Maastricht University (11 articles), the United States (38 articles), and Kather Jacob Nicholas (9 articles), respectively. Half of the top ten research institutions, based on publication volume, were affiliated with Germany. The most frequently cited article was authored by Nicolas Coudray et al. accumulating 703 citations. The keyword "Deep learning" had the highest frequency in 2019. Notably, the highlighted keywords from 2022 to 2023 included “microsatellite instability”, and there were 21 articles focusing on utilizing algorithms to recognize microsatellite instability (MSI) in colorectal cancer (CRC) pathological images.ConclusionThe use of DL is expected to provide a new strategy to effectively solve the current problem of time-consuming and expensive molecular pathology detection. Therefore, further research is needed to address issues, such as data quality and standardization, model interpretability, and resource and infrastructure requirements.Graphical abstract

Knowledge Atlas of Cultivated Land Quality Evaluation Based on Web of Science Since the 21st Century (2000–2023)

Cultivated land is the most important natural resource for human survival and development. The quality of cultivated land is closely related to grain output, and whether it can guarantee stable food supply is directly related to national food security. Cultivated land quality evaluation is an effective tool for understanding and mastering cultivated land quality. However, few studies have applied bibliometrics to quantitatively and systematically analyze this field. We used VOSviewer 1.6.19 and CiteSpace 6.3.1 software to visually analyze and construct 2478 documents related to cultivated land quality evaluation retrieved from the Web of Science core collection database from 2000 to 2023. Results show that cultivated land quality evaluation is still a popular research field. The collaboration ability among authors is weak and the distribution of institutions and countries publishing in this field is very uneven. In addition, the relevant research has been published in a variety of journals such as agriculture, environment, ecology, and computer technology. The research content is becoming more and more interdisciplinary. Keywords such as “Soil quality”, “Swat”, “Remote sensing”, “Heavy metals” and “Ecosystem services” have become hot topics in this field. In the future, it is necessary to further deepen the connotation of cultivated land quality, develop a long time series dynamic model of cultivated land quality evaluation and monitoring, and enhance the transformation of research results into practical applications.

Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024).

While bibliometric studies of individual journals have been conducted, to the best of our knowledge, bibliometric mapping has not yet been utilized to analyze the literature published by the Journal of Medical Internet Research (JMIR). In celebration of the journal's 25th anniversary, this study aimed to review the entire collection of JMIR publications from 1999 to 2024 and provide a comprehensive overview of the main publication characteristics. This study included papers published in JMIR during the 25-year period from 1999 to 2024. The data were analyzed using CiteSpace, VOSviewer, and the "Bibliometrix" package in R. Through descriptive bibliometrics, we examined the dynamics and trend patterns of JMIR literature production and identified the most prolific authors, papers, institutions, and countries. Bibliometric maps were used to visualize the content of published articles and to identify the most prominent research terms and topics, along with their evolution. A bibliometric network map was constructed to determine the hot research topics over the past 25 years. This study revealed positive trends in literature production, with both the total number of publications and the average number of citations increasing over the years. And the global COVID-19 pandemic induced an explosive rise in the number of publications in JMIR. The most productive institutions were predominantly from the United States, which ranked highest in successful publications within the journal. The editor-in-chief of JMIR was identified as a pioneer in this field. The thematic analysis indicated that the most prolific topics aligned with the primary aims and scope of the journal. Currently and in the foreseeable future, the main themes of JMIR include "artificial intelligence," "patient empowerment," and "victimization." This bibliometric study highlighted significant contributions to digital health by identifying key research trends, themes, influential authors, and collaborations. The findings underscore the necessity to enhance publications from developing countries, improve gender diversity among authors, and expand the range of research topics explored in the journal.

Hot Topics in Diagnostic Imaging-Encompassing Advances in MR, Photon-Counting CT, and Ultrasound.

Hot Topics in Diagnostic Imaging-Encompassing Advances in MR, Photon-Counting CT, and Ultrasound.

A systematic review of the nexus between climate change and social media: present status, trends, and future challenges

Social media and climate change are some of the most controversial issues of the 21st century. Despite numerous studies, our understanding of current social media trends, popular hot topics, and future challenges related to climate change remains significantly limited. This research presents a systematic review of climate change and social media for the first time. Review the studies published between 2009 and 2022 in places like Google Scholar, Science Direct, Web-of-Science, Scopus, ResearchGate, and others. For this systematic review, we found 1,057 articles. Forty-five articles were the most relevant according to our goals and study design, which followed the PRISMA framework. The results of this review demonstrate that Twitter is the most popular platform. Every year, we identify rising trends in the number of publications. Past studies often focused on just one social media site, like Twitter (n = 26) or Facebook (n = 5). Although most studies focus on the United States, the study area is primarily “all over the world.” This study offers a theoretical framework by examining the relationship between social media platforms and the discourse surrounding climate change. It looked into how social media trends influence public perception, raise awareness, and spur action on climate change. In practical terms, the study focuses on important and trending topics like nonbelievers and climate change. The contribution consists of synthesizing the body of research, providing insights into the state of the digital world, and suggesting future lines of inquiry for the field of social media and climate change studies. We highlighted the studies’ quality assessment result of “moderate quality.” This systematic review provides information about how climate change is now portrayed on social media and lays the groundwork for further study in this area.

Research on therapeutic clinical trials including immunotherapy in triple-negative breast cancer: a bibliometric analysis.

Breast cancer, particularly triple-negative (TNBC), is a leading malignancy with aggressive traits and high metastasis rates. Clinical trial is an important tool for optimizing therapeutic strategies in the evaluation of the safety and efficacy for TNBC. Our bibliometric study of TNBC clinical trials aims to assess therapeutic strategies, identify trends, and explore advancements in treatment. We focus on mapping knowledge development, including key research entities and topics, and analyzing research trends and emerging methods. This analysis intends to inform future research, especially in personalized and precision medicine for TNBC. We selected publications on clinical trials for the treatment of TNBC from 1997 to 2024 in the Web of Science Core Collection (WoSCC). After an initial screening, we downloaded key data including titles, publication years, authors, countries, institutional affiliations, journals, keywords, and abstracts, and saved them in BibTex format. We then conducted a bibliometric analysis using Bibliometrix in R and VOSviewer to illustrate the prospects, highlights, and trends of TNBC treatment options. Furthermore, to emphasize the hot topics in TNBC treatment strategies, we performed a bibliometric analysis of immunotherapy using the same approach. 1907 publications were included, most of which were from China, Italy, and the United States. The number of annual publications has increased dramatically since 2010. The focus of TNBC clinical trial research has shifted from understanding the biology, such as breast cancer subtyping and genotyping, to novel therapeutic approaches. The major advancement in clinical trials is the switch from late-stage palliative treatment to early preoperative neoadjuvant therapy, as more TNBC cases are discovered at an early stage. Immunotherapy is also highlighted with additional alternatives for advanced or metastasized TNBC, such as targeted inhibitors with unusual mutation rates and antibody drug conjugates (ADC). This investigation made it apparent how immunotherapy has recently made major advancements in TNBC treatment plans and how ADCs, or targeted therapies, are currently popular for TNBC. By identifying significant papers, comprehending trending topics, and collaborating across multiple disciplines, this study may accelerate research on TNBC therapy options.

Research on the Impact of Social Media on Brand Cognition and Consumer Behavior

In today's rapidly developing internet age, everyone's life is inseparable from the presence of the internet. Nowadays, social media exists as a new form of entertainment in people's lives. Through mobile phones or computers, consumers can easily obtain brand information and evaluations of new products from various self-media, forming new perceptions. This article will use a comprehensive approach to study how media attract people and change their perceptions. The final research reveals that some major manufacturers attract fan groups by releasing videos related to current hot topics, adapting to internet trends, and actively interacting with fans to build close relationships and customer loyalty. Additionally, sponsoring leagues and collaborating with internet celebrities are also important methods they use to enhance their brand image and establish their fan base. The study on the impact of social media on brand perception and consumer behavior shows that social media plays a significant role in shaping consumer perceptions of brands and influencing consumer behavior. Social media is also highly flexible, allowing for targeted reporting and introductions of specific products to achieve desired branding effects. The research also reveals how some media combine new factors to expand their fan base, providing directions for future academic research.

Towards scalable topic detection on web via simulating Lévy walks nature of topics in similarity space

Organizing a few webpages from social media into hot topics is one of the key steps to understand trends on web. Discovering popular yet hot topics from web faces a sea of noise webpages which never evolve into popular topics. In this paper, we discover that the similarity values between webpages in a popular topic contain the statistically similar features observed in Lévy walks. Consequently, we present a simple, novel, yet very powerful Explore-Exploit (EE) approach to group topics by simulating Lévy walks nature in the similarity space. The proposed EE-based topic clustering is an effective and efficient method which is a solid move towards handling a sea of noise webpages. Experiments on two public data sets demonstrate that our approach is not only comparable to the State-Of-The-Art (SOTA) methods in terms of effectiveness but also significantly outperforms the SOTA methods in terms of efficiency.

Global research and current trends on nanotherapy in lung cancer research: a bibliometric analysis of 20 years

BackgroundLung cancer ranks as one of the most rapidly growing malignancies. Which is characterized by its poor prognosis and a low survival rate due to late diagnosis and limited efficacy of conventional treatments. In recent years nanotechnology has emerged as a promising frontier in the management of lung cancer, presenting novel strategies to enhance drug administration, improve therapeutic efficiency, and mitigate side effects. This research comprehensively evaluates the current state and research trends concerning the application of nanomaterials in lung cancer through bibliometric analysis.Materials and methodsWe employed a systematic approach by retrieving studies from the Scopus database that focused on nanomaterials and lung cancer between 2003 and 2023. Subsequently, we carefully selected relevant articles based on predetermined inclusion criteria. The selected publications were then subjected to bibliometric and visual analysis using softwares such as VOSviewer and Biblioshiny.ResultsA total of 3523 studies that meet inclusion criteria were selected for bibliometric analysis. We observed a progressive increase in the number of annual publications from 2003 to 2023, indicating the growing interest in this field. According to our analysis, China is the primary contributor to publication output among the countries. The “Ministry of Education of the People's Republic of China” was the most influential institution. Among the authors, "Dr. Jack A. Roth” and “Dr. Huang Leaf” had the highest number of publications and cited publications, respectively. The “International Journal of Nanomedicine” was found to be the most prolific journal in this field. Additionally, “Biomaterials” emerged as the most cited journal. Through keyword analysis, we identified five main research themes and future research directions; nono-immunotherapy and green synthesis are the hot topics in this research field.ConclusionOur study summarized the key characteristics of publications in this field and identified the most influential countries, institutions, authors, journals, hot topics, and trends related to the application of nanomaterials in lung cancer. These findings contribute to the existing body of knowledge and serve as a foundation for future research endeavors in this area. More effective efforts are needed in this field to reduce the burden of lung cancer and help achieve the United Nation’s Sustainable Development Goals.

Global research trends and hotspots in metabolomics of osteosarcoma: a decade-spanning bibliometric and visualized analysis.

Osteosarcoma is a malignant tumor originating from the bones, commonly found in children and adolescents, especially in rapidly growing bone areas such as the knees and upper arms. In this study, we aim to delineate the evolution and convergence of research themes in osteosarcoma metabolomics over the past decade, identify major contributors, and forecast emerging trends that could direct future research efforts. The bibliometric method has been applied to systematically analyze the literature in the field of osteosarcoma metabolomics. The relevant literatures were collected from the Web of Science Core Collection, spanning from January 1, 2014, to December 31, 2023. Tools such as CiteSpace, Bibliometrix, and VOSviewer were used for the visual analysis of the collected literatures. The focused information includes institutions, journals, countries, authors, keywords, and citations. Various aspects in the field of osteosarcoma metabolism were analyzed. Shanghai Jiao Tong University has published the most papers in the past ten years, followed by Central South University and Zhejiang University. Among the sources, the international journal of molecular sciences publishes the most articles, and oncotarget is the journal with the highest H index. According to Bradford's law, there are 34 core journals identified. A total of 5501 authors participated in the creation of papers in this field. The distribution of authors follows Lotka`s Law, and 85.3% of authors have only one article. 46% of the corresponding authors are from China, but most of these corresponding authors are not good at international cooperation. China also has the largest number of publications, followed by the United States. It can be confirmed that China dominates this field. Among the keywords, "expression" is the keyword that has received the most attention in the past ten years. All keywords can be divided into 9 clusters. Based on the explosive words and hot topics each year, we speculate that future research will focus on the tumor microenvironment, molecular mechanisms and autophagy, targeted therapies and inhibitors. In summary, this study comprehensively analyzed the current state of research in the field of osteosarcoma metabolism through bibliometric methods. The findings revealed the development trends and research hotspots in this field, which may provide valuable references for future research directions.

Global trends and performance of dry needling from 2004 to 2024: a bibliometric analysis.

Many doctors are incorporating dry needling into their clinical practice. Despite this growing trend, there has not been a comprehensive bibliometric analysis conducted in this field. Thus, this study aims to investigate the current research landscape, key research contributors, and popular research topics in dry needling, and to analyze the developmental trends within this area of study. The study utilized the Web of Science Core Collection (WoSCC) as the main data source. Scientific literature was gathered through title (TI) searches for original clinical research papers on dry needling published between 2004 and 2024, using 'dry needling' or 'dry needle' as the search term. Statistical analyses and visualizations of the literature information, such as keywords, countries, research institutions, and authors, were conducted using the bibliometric.com online platform and VOSviewer. This approach aimed to statistically analyze and visualize the key research entities, hotspots, and frontiers in dry needling research. Additionally, the study delved into collaborative networks, research outputs, hot topics, and trends within the field of dry needling. This investigation encompassed 468 publications, with the year 2021 topping the charts for the highest publication output, amassing a total of 271 articles. The journal "Acupuncture in Medicine" emerged as the most frequently cited publication. The most impactful article was titled "Acupuncture and dry-needling for low back pain: An updated systematic review within the framework of the Cochrane Collaboration." Spain took the lead as the most productive country in this domain, with the United States closely following. Cesar Fernández-de-las-Peñas emerged as the most prolific author in the field. The Universidad Rey Juan Carlos in Spain was recognized as the most productive institution for research in dry needling. As for journal keywords, "dry needling," "trigger point," and "myofascial pain syn-drome" were the triumvirate of terms most recurrently encountered. The field of dry needling research has witnessed significant growth in recent years, characterized by the emergence of novel trends such as comparative studies with acupuncture, exploration into the mechanisms of action, and a transition toward interdisciplinary approaches. As medical models evolve, the focus is expanding from the exclusive treatment of muscle pain to broader applications. Despite this progress, the domain is underscored by a paucity of large-scale, multicenter clinical trials and animal studies. There exists an imperative for enhanced collaboration among academic and research institutions. A more profound exploration and comprehensive research endeavors are essential to enhance our understanding and broaden the clinical application of dry needling techniques.