Keyword Co-occurrence Analysis Research Articles

Global status and trends of metabolomics in diabetes: A literature visualization knowledge graph study

BACKGROUND Diabetes is a metabolic disease characterized by hyperglycemia, which has increased the global medical burden and is also the main cause of death in most countries. AIM To understand the knowledge structure of global development status, research focus, and future trend of the relationship between diabetes and metabolomics in the past 20 years. METHODS The articles about the relationship between diabetes and metabolomics in the Web of Science Core Collection were retrieved from 2002 to October 23, 2023, and the relevant information was analyzed using CiteSpace6.2.2R (CiteSpace), VOSviewer6.1.18 (VOSviewer), and Bibliometrix software under R language. RESULTS A total of 3123 publications were included from 2002 to 2022. In the past two decades, the number of publications and citations in this field has continued to increase. The United States, China, Germany, the United Kingdom, and other relevant funds, institutions, and authors have significantly contributed to this field. Scientific Reports and PLoS One are the journals with the most publications and the most citations. Through keyword co-occurrence and cluster analysis, the closely related keywords are "insulin resistance", "risk", "obesity", "oxidative stress", "metabolomics", "metabolites" and "biomarkers". Keyword clustering included cardiovascular disease, gut microbiota, metabonomics, diabetic nephropathy, molecular docking, gestational diabetes mellitus, oxidative stress, and insulin resistance. Burst detection analysis of keyword depicted that "Gene", "microbiota", "validation", "kidney disease", "antioxidant activity", "untargeted metabolomics", "management", and "accumulation" are knowledge frontiers in recent years. CONCLUSION The relationship between metabolomics and diabetes is receiving extensive attention. Diabetic nephropathy, diabetic cardiovascular disease, and kidney disease are key diseases for future research in this field. Gut microbiota, molecular docking, and untargeted metabolomics are key research directions in the future. Antioxidant activity, gene, validation, mass spectrometry, management, and accumulation are at the forefront of knowledge frontiers in this field.

Mapping the intellectual structure and emerging trends for the application of nanomaterials in gastric cancer: A bibliometric study

BACKGROUND Recent reviews have outlined the main nanomaterials used in relation to gastrointestinal tumors and described the basic properties of these materials. However, the research hotspots and trends in the application of nanomaterials in gastric cancer (GC) remain obscure. AIM To demonstrate the knowledge structure and evolutionary trends of research into the application of nanomaterials in GC. METHODS Publications related to the application of nanomaterials in GC were retrieved from the Web of Science Core Collection for this systematic review and bibliometric study. VOSviewer and CiteSpace were used for bibliometric and visualization analyses. RESULTS From 2000 to 2022, the application of nanomaterials in GC developed rapidly. The keyword co-occurrence analysis showed that the related research topics were divided into three clusters: (1) The application of nanomaterials in GC treatment; (2) The application and toxicity of nanomaterials in GC diagnosis; and (3) The effects of nanomaterials on the biological behavior of GC cells. Complexes, silver nanoparticles, and green synthesis are the latest high-frequency keywords that represent promising future research directions. CONCLUSION The application of nanomaterials in GC diagnosis and treatment and the mechanisms of their effects on GC cells have been major themes in this field over the past 23 years.

Technological advances and challenges of reclaimed asphalt pavement (RAP) application in road engineering-a bibliometric analysis from 2000 to 2022.

Reclaimed asphalt pavement (RAP) is a valuable material that can be recycled and reused in road engineering to reduce environmental impact, resource utilization, and economic costs. However, the application of RAP in road engineering presents both opportunities and challenges. This study visually analyzes the knowledge background, research status, and latest knowledge structure of literature related to RAP using scientific metric methods such as VOSviewer and Citespace. The Web of Science (WoS) core collection database identified 2963 research publications from 2000 to 2022. Collaborative networks between highly cited references, journals, authors, academic institutions, countries, and funding organizations are analyzed in this study, along with a co-occurrence analysis of keywords for the RAP research publications. Results showed that the USA has long been a leader in RAP research, China surpassed the USA in annual publication output in 2019, increasing from 2 publications in 2002 to 177 publications in 2022, and has made significant investments in technological aspects. Chang'an University ranked first in total publication output (131 publications, 4.4%). Current major research themes include road performance, recycling technology, regeneration mechanisms, and the life cycle assessment of RAP. In addition, based on cluster analysis of keywords, text content analysis, and SWOT analysis, this study also discusses RAP's challenges and future development directions in road engineering. These findings provide scholars with valuable information to gain insight into technological advances and challenges in the field of RAP.

Emerging contaminants in water environments: progress, evolution, and prospects

ABSTRACT This article employs bibliometric tools like VOSviewer, Bibliometrix, and CiteSpace for a comprehensive visual analysis of 1,612 documents on Emerging Contaminants in Waters from the Web of Science database. The objective is to elucidate the historical development, research hotspots, and trends in international studies of this field, offering valuable insights and guidance for future research directions. The analysis reveals a consistent increase in publications from 2003 to 2023, with the United States, China, and Spain being the most prolific contributors. A detailed examination of keyword co-occurrence and cluster analysis shows a predominant focus on themes such as pollutant detection, risk assessment, and biogeochemical cycling. Furthermore, the study underscores the significance of forming interdisciplinary networks among authors and institutions, highlighting its critical role in enhancing the quality and innovation of scientific research. The findings of this study not only chart the progression and focal points of research in this domain but also underscore the pivotal role of international collaboration, serving as an indispensable reference for shaping future research trajectories and fostering global cooperation.

Research Hotspots and Trends of Nitrification Inhibitors: A Bibliometric Review from 2004–2023

Nitrification inhibitors are essential in agricultural and environmental production practices. They play a crucial role in promoting agricultural and environmental sustainability by enhancing nitrogen use efficiency, boosting crop yields, and mitigating the adverse environmental effects of nitrogen losses. This bibliometric analysis covers the period from 2004 to 2023, offering a detailed examination of the development of nitrification inhibitor research. The study demonstrates a consistent growth in research publications, indicating sustained interest and dedication to advancing the field. It identifies key contributors, such as institutions and researchers, and underscores the significance of their work through citation analysis. Keyword co-occurrence analysis reveals four distinct clusters focusing on enhancing crop yields, understanding microbial community dynamics, exploring grazing pasture applications, and addressing environmental impact mitigation. The cutting-edge area of keyword burst detection research has transitioned from fundamental research to comprehensive nitrogen management practices. This analysis provides insights into the current research landscape of nitrification inhibitors and proposes future research directions, underscoring the critical role of this field in tackling global agricultural and environmental challenges.

Mapping The Landscape of Childhood Obesity Research: Insights from A Comprehensive Bibliometric Analysis in Scopus Journals

This study aims to determine the development of scientific publications, mapping the scope and theme of publications related to obesity in early childhood published in Scopus-indexed journals from 2013-2023. This study uses the Scopus database which is retrieved using the publish or perish application. From the results of data extraction, 200 articles were obtained with keywords in the article titled Childhood Obesity. This research uses keyword co-occurrence analysis to identify and explore the main fields and topics that appear in publications. The application used to analyze the data is Vos Viewer. Based on the results of the analysis, 7 clusters were obtained. This study provides information to researchers, especially researchers in Indonesia about publication trends related to Childhood obesity. It is hoped that this research can be a foundation for further research, scientific development, and implementation in the fields of early childhood, health, and physical education. Keywords: childhood obesity, early childhood education, bibliometrics.

The rise in popularity of central bank digital currencies. A systematic review

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central bank digital currencies and the evolving landscape of CBDCs, and explores emerging areas of research and trends by using the PRISMA method and VOSviewer, with the goal of showing the main opportunities and challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, and SRDR were the screening and quality evaluation tools employed for study eligibility criteria, design screening and content selection, text analysis data extraction, methodological quality predictors, and reliable and reproducible evidence assessment. A total of 1024 articles on central bank digital currencies were identified in Scopus and the Web of Science, out of which 747 have been included in the review (documents which were not in English language and not categorized as journal articles were excluded). Through an analysis of the relevant literature, the study categorizes CBDC research into positive, negative and neutral research, with a particular focus on sustainability issues, and conducts a keyword co-occurrence analysis using VOSviewer, following a narrowing down of the relevant articles to be included in the study by applying the PRISMA framework. This generates an overall view for experts and researchers who can use the main analyzed features of CBDCs and adapt them accordingly, taking into account relevant macroeconomic characteristics. The study highlights the need to continue interdisciplinary research, by adapting the research and CBDC characteristics to keep up with the latest technologies and with the shift towards green finance, and explores the elaborate relationship between finance, technology and sustainability.

Urban Green Space Research Progress and Hotspots Evolution Analysis: Visual Analysis based on WOS

Background and objective: Over the past few decades, urban green space research has emerged as a pivotal field within urban planning, ecology, and environmental science, achieving substantial advancements. This study endeavors to elucidate the trajectory of development and evolving hotspots in urban green space research through a visual analysis of the Web of Science (WOS) database.Methods: This study employs CiteSpace software to visualize the dataset, encompassing the analysis of keywords, abstracts, institutions, authors, references, and more, presenting the knowledge structure graphically. Additionally, it utilizes the LLR tag extraction algorithm to generate a keyword co-occurrence map and conduct clustering and grouping.Results: The findings reveal that the preeminent contributors in urban green space research include Haase, Dagmar, and Nizamani, Mir Muhammad. Furthermore, the collaborative network among researchers underscores the significance of interdisciplinary and cross-border cooperation in advancing urban green space research. Keyword co-occurrence analysis identifies prevalent themes such as land surface temperature and health, highlighting the current focal points of urban green space research.Conclusion: This study discerns heightened attention to topics encompassing the thermal environment, ecosystem services, biodiversity, green space accessibility, and vegetation. These themes mirror societal concerns regarding the influence of urban green spaces on climate change and spatial planning, thereby delineating avenues for future research.

Global research landscape on the contribution of de novo mutations to human genetic diseases over the past 20 years: bibliometric analysis

As the contribution of de novo mutations (DNMs) to human genetic diseases has been gradually uncovered, analyzing the global research landscape over the past 20 years is essential. Because of the large and rapidly increasing number of publications in this field, understanding the current landscape of the contribution of DNMs in the human genome to genetic diseases remains a challenge. Bibliometric analysis provides an approach for visualizing these studies using information in published records in a specific field. This study aimed to illustrate the current global research status and explore trends in the field of DNMs underlying genetic diseases. Bibliometric analyses were performed using the Bibliometrix Package based on the R language version 4.1.3 and CiteSpace version 6.1.R2 software for publications from 2000 to 2021 indexed under the Web of Science Core Collection (WoSCC) about DNMs underlying genetic diseases on 17 September 2022. We identified 3435 records, which were published in 731 journals by 26,538 authors from 6052 institutes in 66 countries. There was an upward trend in the number of publications since 2013. The USA, China, and Germany contributed the majority of the records included. The University of Washington, Columbia University, and Baylor College of Medicine were the top-producing institutions. Evan E Eichler of the University of Washington, Stephan J Sanders of the Yale University School of Medicine, and Ingrid E Scheffer of the University of Melbourne were the most high-ranked authors. Keyword co-occurrence analysis suggested that DNMs in neurodevelopmental disorders and intellectual disabilities were research hotspots and trends. In conclusion, our data show that DNMs have a significant effect on human genetic diseases, with a noticeable increase in annual publications over the last 5 years. Furthermore, potential hotspots are shifting toward understanding the causative role and clinical interpretation of newly identified or low-frequency DNMs observed in patients.

Paths to BIM-based digital transformation: a bibliometric and systematic review of critical factors

PurposeThe purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation.Design/methodology/approachThis study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study.FindingsBesides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities.Originality/valueThis paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation.

Ecological city concept: Challenge and future research agenda in urban ecology perspective

Cities are no longer viewed as creatures with a linear-climax-established cycle but as ecosystems with dynamic and complicated processes, with people as the primary component. Thus, we must understand urban ecology’s structure and function to create urban planning and appreciate the mechanisms, dynamics, and evolution that connect human and ecological processes. The ecological city (ecocity) is one of the city conceptions that has evolved with the perspective of urban ecology history. The concept of ecocity development within urban ecology systems pertains to recognizing cities as complex ecosystems primarily influenced by human activities. In this context, individuals actively engage in dynamic problem-solving approaches to address environmental challenges to ensure a sustainable and satisfactory quality of life for future generations. Therefore, it is necessary to study how ecocity has developed since it was initiated today and how it relates to the urban ecology perspective. This study aims to investigate the progression of scholarly publications on ecocity research from 1980 to 2023. Additionally, it intends to ascertain the trajectory of ecological city research trends, establish connections between scientific concepts, and construct an ecological city science network using keyword co-occurrence analysis from the urban ecology perspective. The present study used a descriptive bibliometric analysis and literature review methodology. The data was obtained by utilizing the Lens.org database, was conducted using the VOS (Visualization of Similarities) viewer software for data analysis. The urban ecology research area ecology of cities can be studied further from density visualization of ecosystem services and life cycle assessment. Finally, the challenges and future agenda of ecocity research include addressing humans by modeling functions or processes that connect humans with ecosystems (ecology of cities), urban design, ecological imperatives, integration research, and improving the contribution to environmental goals, spatial distribution, agriculture, natural resources, policy, economic development, and public health.

Unveiling the Landscape of Big Data Analytics in Healthcare: A Comprehensive Bibliometric Analysis

In the rapidly evolving landscape of healthcare, the digital transformation marked by healthcare 4.0 has spurred a surge in data generation, giving rise to ‘big data’. Big data analytics has become an effective tool in the healthcare industry, revolutionising medical research, patient care, and healthcare management. This study undertakes a meticulous bibliometric analysis, drawing upon a dataset of 2212 articles from the Scopus database spanning 2014 to 2023, to unravel the trajectory of big data analytics in healthcare. The research explores diverse dimensions, from the distribution of studies across years to the productivity rankings of journals, countries, and institutions, elucidating the evolving trends and key contributors. Co-authorship networks and keyword co-occurrence analysis reveal thematic clusters and intellectual structures, contributing to a nuanced understanding of the field. The results underscore the escalating global interest in the fusion of big data and healthcare, illuminating collaborations, and identifying influential players. Additionally, the study identifies pressing challenges, including security concerns and skill shortages, emphasizing the imperative of overcoming these barriers for effective big data applications in healthcare. Serving as a valuable resource for researchers, practitioners, and policymakers, this research not only captures the current landscape but also provides insights for future exploration, contributing to strategic planning in this dynamic domain.

A holistic approach to artificial intelligence-related research in the transportation system: bibliometric analysis

Purpose Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.Design/methodology/approach To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.Findings The original search yielded 642 documents, which were then filtered by parameters. For publications related to AI in transportation systems, the most cited documents, leading authors, productive countries, co-occurrence analysis of keywords and bibliographic matching of documents were examined. This report shows that there has been a recent increase in research on AI in transport systems. However, there is only one study on tourism. The country that contributed the most is China with 298 studies. The most used keyword in the documents was intelligent transportation system.Originality/value The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in AI-related in transportation system.

A review of extant literature and recent trends in residential construction waste reduction.

The residential construction sector in New Zealand and worldwide is experiencing increased criticism for generating substantial waste that poses environmental concerns. Accordingly, researchers have advocated implementing residential construction waste reduction (RCWR) strategies as a sustainable solution to managing construction waste (CW). This article aims to provide a comprehensive overview of RCWR by analysing 87 articles from the Scopus database using bibliometric and critical review methods. The co-occurrence analysis of keywords revealed five clusters, in which five main themes emerged: (i) waste generation and management performance, (ii) prefabrication and life cycle assessment concepts, (iii) design concepts, (iv) circular economy and (v) decision-making concepts. The findings suggest that sustainable practices such as designing for waste reduction, prefabrication, waste quantification, three-dimensional printing and building information modelling can effectively achieve RCWR. The study also highlights the benefits of RCWR, including reducing environmental impacts, and identifies management, economic, legislative, technology and cultural barriers that affect the implementation of RCWR strategies. These results provide valuable insights to support future policy formulation and research direction for RCWR in New Zealand.

Barriers to Adopting Digital Technologies to Implement Circular Economy Practices in the Construction Industry: A Systematic Literature Review

The construction industry is a resource- and energy-intensive sector, and, thus, it has been criticised due to rising environmental concerns. As a result, it has gained heightened interest in the concept of the circular economy (CE) over the last decade due to its ability to promote the slowing, reducing, and closing production and consumption cycles of materials and products used in construction projects. Current research studies suggest that digital technologies may enhance the construction industry’s ability to integrate the concept of CE into its practices. However, a clear understanding of digital technology (DT)-related barriers that hinder practical implementation of CE appears to be lacking within the sector. Thus, this study aims to identify the barriers to adopting DTs to implement CE practices in the construction industry. A systematic literature review was conducted by reviewing twenty-eight (28) relevant papers published until March 2024 in the Scopus and Web of Science databases. The VOS viewer software (version 1.6.11) was used to perform a co-occurrence analysis of keywords to identify new and popular study areas in the field. The content analysis was used to analyse the significant barriers to adapting DTs to implement CE in the construction industry; frequency and Pareto analyses were used to determine the most critical obstacles. This study identified thirty-seven (37) barriers to using DTs to implement CE, categorised into nine areas: organisational, infrastructure, regulatory, standardisation, investment, nature of the construction industry, technological, stakeholder, and data-related barriers. Of these thirty-seven barriers, nineteen were identified as critical barriers based on Pareto analysis. These findings will benefit construction practitioners and policymakers who want to adopt DTs to integrate CE practices in the construction industry.

Visualization Mapping and Current Trends of Facial Contouring Procedures: A Bibliometric Analysis Based on Web of Science.

Facial contouring procedures become popular in recent years, but there has been no bibliometric analysis focused on this field. Construct visualization maps and analyze the hotspots and current trends in this field using bibliometric analysis. Publications on facial contouring procedures were extracted from the Web of Science Core Collection database from 2003 to 2022. VOSviewer, CiteSpace, and "Bibliometrix" R package were used to analyze data. Seven hundred and twenty-one publications on facial contouring procedures between 2003 and 2022 were included. The United States was the leading country both in publications (206) and citations (3941). Shanghai Jiao Tong University was the institution with the greatest contribution (35 publications with 379 citations). Hu J (17 publications) from China had the most outputs, while the most cited author was Rohrich RJ (321 citations) from the United States. The Journal of Craniofacial Surgery (135 documents) published the most research, and Plastic and Reconstructive Surgery was the most cited journal (2755 citations). The most cited article focused on virtual surgical planning in mandibular reconstruction. Keywords co-occurrence analysis identified five clusters centered on "reconstruction," "augmentation," "reduction malarplasty," "face rejuvenation," and "orthognathic surgery," separately. "Hyaluronic acid," "facial feminization," and "orthognathic surgery" might be related to trend topics. The research on facial contouring procedures is booming. In the past 2 decades, hotspots in this field included: facial defects reconstruction, facial augmentation cosmetology, facial skeletal contour plasty, and facial rejuvenation surgery. The following aspects may be trend frontiers: precision and personalization, combined treatments, transgender facial contour, and facial contour shaping with fat and hyaluronic acid.

The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review

Artificial intelligence (AI) technologies are increasingly being applied to the shipping industry to advance its development. In this study, 476 articles published in the Science Citation Index Expanded (SCI-EXPANDED) and the Social Sciences Citation Index (SSCI) of the Web of Science Core Collection from 2001 to 2022 were collected, and bibliometric methods were applied to conduct a systematic literature of the field of AI technology applications in the shipping industry. The review commences with an annual publication trend analysis, which shows that research in the field has been growing rapidly in recent years. This is followed by a statistical analysis of journals and a collaborative network analysis to identify the most productive journals, countries, institutions, and authors. The keyword “co-occurrence analysis” is then utilized to identify major research clusters, as well as hot research directions in the field, providing directions for future research in the field. Finally, based on the results of the keyword co-occurrence analysis and the content analysis of the papers published in recent years, the research gaps in AIS data applications, ship trajectory, and anomaly detection, as well as the possible future research directions, are discussed. The findings indicate that AIS data in the future research direction are mainly reflected in the analysis of ship behavior and AIS data repair. Ship trajectory in the future research direction is mainly reflected in the deep learning-based method research and the discussion of ship trajectory classification. Anomaly detection in the future research direction is mainly reflected in the application of deep learning technology in ship anomaly detection and improving the efficiency of ship anomaly detection. These insights offer guidance for researchers’ future investigations in this area. In addition, we discuss the implications of research in the field of shipping AI from both theoretical and practical perspectives. Overall, this review can help researchers understand the status and development trend of the application field of AI technology in shipping, correctly grasp the research direction and methodology, and promote the further development of the field.

A bibliometric analysis of the development of business incubation literature in South Africa

The study analyzes the development of business incubation literature in South Africa. The VOSviewer software was used to perform the bibliometric analysis of 44 articles on business incubation in South Africa conducted between 1996 and 2023 that were obtained from the Scopus database. The study has also revealed literature on business incubation started to appear in 1996 in South Africa. The study’s keyword co-occurrence analysis also revealed that the following words had the most occurrences and were clustered into the following: entrepreneurship and business incubation, business incubators and effectiveness, entrepreneurial education and informal Business, SMEs and start-up, business and sustainability, and business development and competitiveness. The study sorts the articles based on the following indicators: number of documents published in a year, eminent authors and keyword co-occurrence, which identified six categories of the most prominent research themes being covered by articles reviewed. The study only used articles that were written in English language only. Therefore, future research should consider articles written in other languages and expand the study to other regions, continents, and even global scale.

Knowledge mapping of immunotherapy for breast cancer: A bibliometric analysis from 2013 to 2022

ABSTRACT Breast cancer is the leading cause of cancer-related death among women globally. Immunotherapy has emerged as a major milestone in contemporary oncology. This study aims to conduct a bibliometric analysis in the field of immunotherapy for breast cancer, providing a comprehensive overview of the current research status, identifying trends and hotspots in research topics. We searched and retrieved data from the Web of Science Core Collection, and performed a bibliometric analysis of publications on immunotherapy for breast cancer from 2013 to 2022. Current status and hotspots were evaluated by co-occurrence analysis using VOSviewer. Evolution and bursts of knowledge base were assessed by co-citation analysis using CiteSpace. Thematic evolution by bibliometrix package was used to discover keywords trends. The attribution and collaboration of countries/regions, institutions and authors were also explored. A total of 7,975 publications were included. In co-occurrence analysis of keywords, 6 major clusters were revealed: tumor microenvironment, prognosis biomarker, immune checkpoints, novel drug delivery methods, immune cells and therapeutic approaches. The top three most frequently mentioned keywords were tumor microenvironment, triple-negative breast cancer, and programmed cell death ligand 1. The most productive country, institution and author were the USA (2926 publications), the University of Texas MD Anderson Cancer Center (219 publications), and Sherene Loi (28 publications), respectively. There has been a rapid growth in studies on immunotherapy for breast cancer worldwide. This research area has gained increasing attention from different countries and institutions. With the rising incidence of breast cancer, immunotherapy represents a research field of significant clinical value and potential.

The Interplay Between Diabetes and Oral Health: A Comprehensive Bibliometric Analysis of Clinical Trials (1967-2024).

Recognizing the complex interaction between diabetes and oral health is crucial, considering the increasing worldwide prevalence of these conditions. This bibliometric analysis delves into the extensive body of literature concerning the impact of diabetes on oral health, utilizing data retrieved from PubMed. The publishing trends indicate a growing research interest in the field over time, with notable peaks and declines. Coauthorship analyses of authors and institutions illuminated collaborative networks within the research community. Two departments at Ahvaz Jundishapur University of Medical Sciences in Iran, namely the Department of Periodontology within the School of Dentistry and the Diabetes Research Center within the Health Research Institute, demonstrated the highest total link strength. The co-occurrence analysis of keywords also unveiled thematic clusters, reflecting research focus areas and evolving trends. The analysis of topic trends highlighted persistent research interests in topics, such as type 2 diabetes mellitus, glycated hemoglobin, periodontitis, and therapy for chronic periodontitis, with shifts in therapeutic modalities investigated. The thematic map suggests that dental implants and tumor necrosis factor-alpha are emerging terms in the field that have gained more traction recently. Furthermore, the analysis of scientific production by country indicated varied contributions, with Brazil leading in publication output. Analysis of collaboration among corresponding authors' countries identified Italy exhibiting substantial international collaboration, while most of the countries primarily produced single-country publications. This comprehensive analysis provides insights into the multifaceted landscape of research on diabetes and oral health, emphasizing ongoing efforts to understand and address the complex interplay between these conditions.