Jonathan W. Yewdell
- Immunology top 0.05%
- Immune Cell Function and Interaction 91
- Immunotherapy and Immune Responses 80
- T-cell and B-cell Immunology 59
- Virology top 0.2%
- Epidemiology top 0.05%
- Influenza Virus Research Studies 89
- Respiratory viral infections research 36
- Infectious Diseases top 0.5%
- Molecular Biology top 0.5%
- vaccines and immunoinformatics approaches 35
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- Monoclonal and Polyclonal Antibodies Research 33
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- Virus-based gene therapy research 22
- Co-authors
- Jack R. BenninkWalter GerhardJames S. GibbsChristopher C. NorburyLuis C. AntónUlrich S. SchubertIgor BačíkAndrew J. Caton
- Cited by
- ImmunologyVirologyEpidemiology
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jonathan W. Yewdell
255 papers receiving 25.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 14.0k
- Virology 2.2k
- Epidemiology 9.5k
- Infectious Diseases 2.8k
- Molecular Biology 9.7k
Countries citing papers authored by Jonathan W. Yewdell
This map shows the geographic impact of Jonathan W. Yewdell'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 Jonathan W. Yewdell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Yewdell more than expected).
Fields of papers citing papers by Jonathan W. Yewdell
This network shows the impact of papers produced by Jonathan W. Yewdell. 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 Jonathan W. Yewdell. The network helps show where Jonathan W. Yewdell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan W. Yewdell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 7 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 55 | |
| 9 | 2019 | 21 | |
| 10 | 2018 | 56 | |
| 11 | Wild Mouse Gut Microbiota Promotes Host Fitness and Improves Disease Resistancebreakdown → | 2017 | 571 |
| 12 | 2013 | 127 | |
| 13 | 2012 | 54 | |
| 14 | 2011 | 74 | |
| 15 | 2006 | 62 | |
| 16 | 2005 | 109 | |
| 17 | 2004 | 235 | |
| 18 | 2002 | 104 | |
| 19 | 2002 | 49 | |
| 20 | 2001 | 92 |
About Jonathan W. Yewdell
Jonathan W. Yewdell is a scholar working on Immunology, Virology and Epidemiology, having authored 262 papers that have together received 25.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (91 papers), Influenza Virus Research Studies (89 papers), Immunotherapy and Immune Responses (80 papers), T-cell and B-cell Immunology (59 papers), Respiratory viral infections research (36 papers), vaccines and immunoinformatics approaches (35 papers), Monoclonal and Polyclonal Antibodies Research (33 papers) and Virus-based gene therapy research (22 papers). The work is most often cited by research in Immunology (14.0k citations), Virology (2.2k citations) and Epidemiology (9.5k citations). Jonathan W. Yewdell has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jack R. Bennink, Walter Gerhard, James S. Gibbs, Christopher C. Norbury, Luis C. Antón, Ulrich S. Schubert, Igor Bačík, Andrew J. Caton, George G. Brownlee and Weisan Chen. Their work appears in journals such as Nature, Science and Cell.
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.