ReviewHealth research policy and systems2016
Co-authorship network analysis in health research: method and potential use.
Review in Health research policy and systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Zoonotic pathogens in equids in Central Europe: a systematic review.BMC veterinary research · 2025Pooled it
- The effect of laboratory diet and feeding on growth parameters in juvenile zebrafish.Lab animal · 2024Pooled it
- Knowledge Mapping of Alport Syndrome: A Bibliometric Analysis From 2000 to 2025.Molecular genetics & genomic medicine · 2026Review
- Global Research Trends on Nanoplastics in Food: A Bibliometric Analysis of Human Health Concerns.Foods (Basel, Switzerland) · 2025Article
- Bridging the Gap: The State of Global Transplant Research Collaboration.Transplantation direct · 2025Article
- A bibliometric mapping of advancements and trends in genome editing in pigs.Tropical animal health and production · 2025Review
- A social network analysis of an epistemic community studying neoliberal conservation.Conservation biology : the journal of the Society for Conservation Biology · 2025Review
- Trends in Mixed Pain Research Over Three Decades (1993-2024): A Bibliometric Analysis.Current pain and headache reports · 2025Review
- Support of Underrepresented and Early-Stage Faculty at a Research Center for Minority Institutions: A Social Network Analysis of Research Productivity over a Five-Year Period.Innovative higher education · 2025Article
- Three decades of collaboration in rheumatology: a comprehensive co-authorship network analysis (1994-2023).Reumatologia · 2025Article
- Flooding and health in Australia: a scoping review and coauthorship analysis of published research.BMJ open · 2024Article
- The global research landscape and future trends in healthcare Total Quality Management.Archives of public health = Archives belges de sante publique · 2024Article
- A scoping review on tools and methods for trait prioritization in crop breeding programmes.Nature plants · 2024Article
- Collaboration and growth in a large research cooperative: A network analytic approach.Evaluation and program planning · 2024Article
- Bioprospecting ofFrontiers in microbiology · 2024Review
- Bibliometric and social network analysis of a Clinical and Translational Resource awardee: An Oklahoma experience 2014-2021.Journal of clinical and translational science · 2024Article
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- Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis.Foods (Basel, Switzerland) · 2023Review
- Patterns of collaboration and knowledge generated by an Australian rural research centre over 20 years: a co-authorship network analysis.Health research policy and systems · 2023Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scientific collaboration networks are a hallmark of contemporary academic research. Researchers are no longer independent players, but members of teams that bring together complementary skills and multidisciplinary approaches around common goals. Social network analysis and co-authorship networks are increasingly used as powerful tools to assess collaboration trends and to identify leading scientists and organizations. The analysis reveals the social structure of the networks by identifying actors and their connections. This article reviews the method and potential applications of co-authorship network analysis in health. The basic steps for conducting co-authorship studies in health research are described and common network metrics are presented. The application of the method is exemplified by an overview of the global research network for Chikungunya virus vaccines.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.