Stephen Tahan

1.9k citations
6 papers · 123 · h-index 6

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

Stephen Tahan

6 papers receiving 122 citations

Peers

Stephen Tahan
Comparison fields: 5 of 32
  • Aging 29
  • Infectious Diseases 54
  • Endocrinology 10
  • Insect Science 14
  • Biological Psychiatry 2
Replace Carolyn J. Huang with:
Carolyn J. Huang United States
Thomas Huckvale United Kingdom
Mark Cigan United States
Verena Gelmedin Germany
Benjamin L. Rambo‐Martin United States
Chun-Taek Oh South Korea
Hanns Soblik Germany
Srinivasan Ramachandran United States
Eleanor Stanley United Kingdom
Alex Dulovic Germany
Stephen Tahan relative to Carolyn J. Huang United States Carolyn J. Huang's profile →
Citations per field
00.5×7.7×
Carolyn J. Huang · 1×
Citations per year

Countries citing papers authored by Stephen Tahan

Since Specialization
Citations

This map shows the geographic impact of Stephen Tahan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Tahan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tahan more than expected).

Fields of papers citing papers by Stephen Tahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Tahan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Tahan. The network helps show where Stephen Tahan may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Tahan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Tahan Line = papers co-authored together Stephen Tahan links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202136
2 201922
3 201921
4 201920
5 202016
6 20238

About Stephen Tahan

Stephen Tahan is a scholar working on Infectious Diseases, Animal Science and Zoology, Insect Science, Plant Science and Molecular Biology, having authored 6 papers that have together received 123 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (2 papers), Plant Virus Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Animal Virus Infections Studies (2 papers), RNA regulation and disease (1 paper), Plant and Fungal Interactions Research (1 paper), Evolution and Genetic Dynamics (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Aging (29 citations), Infectious Diseases (54 citations), Endocrinology (10 citations), Insect Science (14 citations) and Biological Psychiatry (2 citations). Stephen Tahan has collaborated with scholars based in United States, France and China. Frequent co-authors include David Wang, Marie-Anne Félix, Lise Frézal, Lindsay Droit, Carey‐Ann D. Burnham, Meghan A. Wallace, Bijal A. Parikh, Hongbing Jiang, Christian Leung and Joshua Blatter. Their work appears in journals such as Journal of Virology, eLife, Proceedings of the National Academy of Sciences, Journal of Clinical Microbiology and PLoS Pathogens.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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