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The current study aimed to provide a comprehensive bibliometric overview of the literature on curcumin, complementing the previous reviews and meta-analyses on its potential health benefits. Bibliometric data for the current analysis were extracted from the Web of Science Core Collection database, using the search string TOPIC=(“curcumin*”), and analyzed by the VOSviewer software. The search yielded 18,036 manuscripts. The ratio of original articles to reviews was 10.4:1. More than half of the papers have been published since 2014. The major contributing countries were the United States, China, India, Japan, and South Korea. These publications were mainly published in journals representing the following scientific disciplines: biochemistry, chemistry, oncology, and pharmacology. There was a significant positive correlation between the total publication count and averaged citations per manuscript for affiliations, but not for countries/regions and journals. Chemicals that were frequently mentioned in the keywords of evaluated curcumin publications included curcuminoids, resveratrol, chitosan, flavonoids, quercetin, and polyphenols. The literature mainly focused on curcumin’s effects against cancer, inflammation, and oxidative stress. Cancer types most frequently investigated were breast, colon, colorectal, pancreatic, and prostate cancers.

The objective of this scientometric study was to evaluate the global trends and characteristics of research published with native horses from 1920 to July 24, 2024. In total, after screening, 274 articles were considered for scientometric analyses. The data was collected in Scopus and analyzed in the RStudio software, “Bibliometrix” was used to calculate the basic bibliometric characteristics, present the collaboration conditions of countries and authors, and generate a three-field graph to show the relationships between authors, affiliations, and most cited articles based on total global and local citations and keywords. The VOSviewer was used for country and institution co-authorship analysis, bibliometric coupling, and keyword co-occurrence analysis. During this time period, the annual growth rate of articles was 2.02%, with an average of 9.57 citations. The articles have an average age of 10.80 years and contain 7795 references. A total of 839 additional keywords. The documents were written by 1333 authors, with an average of 6.07 co-authors per document and 26.28% international co-authorship. The scientific community has shown a great interest in understanding the origin, genetic variability and conservation needs of native horses, using advanced molecular tools and promoting international collaboration.

Purpose The purpose of this paper is to algorithmically and objectively investigate the previous literature on supply chain resilience (SCR) and advance theory by synthesizing new research domains. Design/methodology/approach A two-staged analysis approach, integrating systematic literature review (SLR) with VOSviewer co-occurrence analysis, was applied to the articles published between 2003 and 2018. Findings The authors find exponential growth in the literature on SCR over the last decade; however, there is still a gap for empirical research on numerous drivers, barriers, theories, moderators, mediators and research methods intertwined in building SCR. Research limitations/implications The review identifies major clusters in which SCR research is conducted and devises a future research agenda based on the findings of co-occurrence analysis. Practical implications The findings provide managers with a broad spectrum of factors that are indispensable to build resilience and inform business policy. Originality/value While some SLRs exist in the current literature of SCR, the authors undertake a unique analytical perspective, resulting in an idiosyncratic set of research domains for further investigation in the area.

This study offers a systematic review of academic research on platforms in management, business and economics. By using two visualization tools named VOSviewer and CiteSpace, we analyzed 619 articles on platform research with associated 23,093 references from the Web of Science database. We have discerned the most impact publications, authors, journals, institutions and countries in the platform research. In addition, we have explored the structures of the cited references, cited authors and cited journals to further understand the theoretical basis of the platform research. Moreover, by evolution analysis through CiteSpace and co-occurrence analysis through VOSViewer, we explored the evolution process of platform research and predicted the future development trends. The results conjunctively achieved by VOSviewer and CiteSpace will enhance understanding of platform research and enable future developments for both theorists and practitioners.

Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions. CitNetExplorer is used to cluster a large set of publications in the field of astronomy and astrophysics. The publications are clustered based on direct citation relations. CitNetExplorer and VOSviewer are used together to analyze the resulting clustering solutions. Both tools use visualizations to support the analysis of the clustering solutions, with CitNetExplorer focusing on the analysis at the level of individual publications and VOSviewer focusing on the analysis at an aggregate level. The demonstration provided in this paper shows how a clustering of publications can be created and analyzed using freely available software tools. Using the approach presented in this paper, bibliometricians are able to carry out sophisticated cluster analyses without the need to have a deep knowledge of clustering techniques and without requiring advanced computer skills.

This paper explores ways in which open access bibliometric software can be used to undertake exploratory research and to generate new avenues of inquiry. It takes as its focus VOSviewer, a freely available software package used to construct and display bibliometric relationships between a variety of variables. Beginning with published examples, the paper proceeds to create an original case study using bibliometrics to explore the extent to which the field of remote sensing is contributing to the implementation of sustainable development goals. This example uses Scopus data and VOSviewer to examine and contrast co-occurrence data among publications in six journals, and it demonstrates how such software can be successfully used to undertake preliminary studies and to shape subsequent research which employs more formal approaches.

BackgroundSchizophrenia (SCZ) is a severe psychiatric disorder that involves inflammatory processes. The aim of this study was to explore the field of inflammation-related research in SCZ from a bibliometric perspective.MethodsRegular and review articles on SCZ- and inflammation-related research were obtained from the Web of Science Core Collection (WOSCC) database from its inception to February 19, 2022. R package “bibliometrix” was used to summarize the main findings, count the occurrences of the top keywords, visualize the collaboration network between countries, and generate a three-field plot. VOSviewer software was applied to conduct both co-authorship and co-occurrence analyses. CiteSpace was used to identify the top references and keywords with the strongest citation burst.ResultsA total of 3,596 publications on SCZ and inflammation were included. Publications were mainly from the USA, China, and Germany. The highest number of publications was found in a list of relevant journals. Apart from “schizophrenia” and “inflammatory”, the terms “bipolar disorder,” “brain,” and “meta-analysis” were also the most frequently used keywords.ConclusionsThis bibliometric study mapped out a fundamental knowledge structure consisting of countries, institutions, authors, journals, and articles in the research field of SCZ and inflammation over the past 30 years. The results provide a comprehensive perspective about the wider landscape of this research area.

Shuo Dong,1,* Xuefeng Li,2,* Siyi Wang,1 Yubo Gong,1 Lingfeng Wu,1 Jinglin Hu,1 Xinhua Chen2 1College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, People’s Republic of China; 2Department of Acupuncture, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin Province, 130021, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xinhua Chen, Department of Acupuncture and Moxibustion and Massage, The Affiliated Hospital to Changchun University of Chinese Medicine, No. 1035 Boshuo Road, Jingyue National High-Tech Industrial Development Zone, Changchun, Jilin Province, 130117, People’s Republic of China, Email 187098190@qq.comAbstract: Parkinson’s disease (PD) is a chronic neurodegenerative disorder characterized by gradual progression. A significant pathophysiology of its development and evolution is neuroinflammation. A previous review assessed the neuroinflammation research in PD, but limitations in its search period and analytical methods restricted its ability to reflect the full landscape of the field and recent research trends. To solve this problem, we performed a bibliometric and visual review in order to describe the current state of research and outline the recent progress in PD-related neuroinflammation. The Web of Science Core Collection (WoSCC) and Scopus were searched to retrieve a total of 5,926 publications published between January 1, 2015 and September 23, 2025. CiteSpace, VOSviewer, and the bibliometrix R package were used to perform a comprehensive bibliometric and visualization analysis. The results showed that China produced the largest number of publications in this field, accounting for 30.75% of the total. At the institutional level, the University of California System and Shanghai Jiao Tong University were among the leading contributors. The International Journal of Molecular Sciences was the most productive journal in this field. Among individual authors, Wang, Q.S. Zhang, F. and Cuzzocrea, S. were the most prolific contributors, whereas McGeer, P.L. was the most frequently co-cited author. Keyword analysis further identified three major research themes: fundamental pathological mechanisms, clinical diagnosis, and intervention strategies. Overall, this study provides a systematic overview of the current research landscape, principal themes, and emerging directions in neuroinflammation research on PD by means of bibliometric analysis.Keywords: Parkinson’s disease, neuroinflammation, bibliometrics, CiteSpace, VOSviewer

[This corrects the article DOI: 10.3389/fimmu.2022.1025861.].

This paper aims to comprehensively review 891 documents in the Scopus database about Internet of Things (IoT) in Ind 4.0 to understand the historical growth, current state, and potential expansion trend. From 2014 to 2020, a systematic methodology gathered information on IoT in Ind 4.0 documents in various Scopus databases. The relevant IoT research in Ind 4.0 documents is provided, and their types, publications, citations, and predictions are discussed. The VOSviewer 1.16.6 and Biblioshiny 2.0 applications display IoT status in Ind 4.0 publications for visualization research. The citation review aims to find the most prominent and influential authors, sources, papers, countries, and organizations. For citation analysis and ranking, document selection criteria were well defined. The author keywords, index keywords, and text data content analysis were used to identify the hotspots and development trends. The yearly IoT in Ind 4.0 article publications presented a speedily increasing trend, and a curve was fitted employing an exponential function. The paper “Intelligent manufacturing in the context of Industry 4.0: a review” was rated first with 754 citations. With 1629 citations, the “International Journal of Production Research” was ranked #1 along with Wan J. The South China University of Technology in Guangzhou, China, was placed first along with the United States as the most prolific and influential country. ‘Industry 4.0’ appeared the first time in 2014 with an application of IoT in Ind 4.0 with an overall appearance of 528, followed by the ‘internet of things’ in 2015, three times with a total count of 220 up to 2020. The IoT in Ind 4.0 assessment and bibliometric analysis intended to provide intellectuals a broad perspective working in IoT in Ind 4.0. Scholars should understand the hotspots in this area as soon as possible. This is also the first paper to thoroughly use bibliometric research to examine the IoT in Ind 4.0 literature. It will assist researchers of IoT in Ind 4.0 in expanding their knowledge and quickly comprehending the development status and pattern.