ArticleEvolution, medicine, and public health2025
Exploring Evolutionary Medicine through Bibliometrics: Research Insights and Future Opportunities.
Article in Evolution, medicine, and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Global research trends at the intersection of climate change and parasitic diseases: a systematic bibliometric research (2000-2025).Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Evolutionary medicine applies principles of evolutionary biology to elucidate the origins of human health and disease. Despite rapid growth since its emergence in the 1990s, the field lacks systematic bibliometric evaluation. Methods: We conducted the first comprehensive bibliometric analysis of evolutionary medicine using the Web of Science Core Collection. Two search strategies captured general literature (n = 885) and publications from Results: The field exhibits steady growth, with high citation impact from review articles and a dominant presence of contributions from the USA, UK, and Germany. Six major keyword clusters were identified: drug resistance, infection, evolutionary mismatch, cancer, cognition, and mental health. However, topics such as clinical translation, One Health, Planetary Health, and race-related issues remain underrepresented. Moreover, standard database queries failed to capture most Conclusions: This bibliometric overview reveals strengths and gaps in the evolutionary medicine literature. To enhance visibility, equity, and clinical relevance, future research should promote interdisciplinary integration, broader international collaboration, and more consistent field labeling in publications. These efforts are vital to advancing evolutionary perspectives in global biomedical and public health discourse.
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.