Eric M. Feeley
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- interferon and immune responses 6
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- Influenza Virus Research Studies 4
- Co-authors
- Abraham L. Brass (5 shared papers)Stephen J. Elledge (3 shared papers)Sinu P. John (3 shared papers)Christopher R. Chin (4 shared papers)Erol Fikrig (1 shared paper)David J. Adams (1 shared paper)Manoj N. Krishnan (1 shared paper)Michael Reynolds Farzan (1 shared paper)
- Journals
- mBio (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Molecular Biology (1 paper)Infection and Immunity (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Eric M. Feeley
12 papers receiving 3.0k citations
Eric M. Feeley's Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 1.7k
- Virology 337
- Infectious Diseases 780
- Epidemiology 1.1k
- Parasitology 119
Countries citing papers authored by Eric M. Feeley
This map shows the geographic impact of Eric M. Feeley'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 Eric M. Feeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Feeley more than expected).
Fields of papers citing papers by Eric M. Feeley
This network shows the impact of papers produced by Eric M. Feeley. 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 Eric M. Feeley. The network helps show where Eric M. Feeley may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric M. Feeley, 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 | The IFITM Proteins Mediate Cellular Resistance to Influenza A H1N1 Virus, West Nile Virus, and Dengue Virus Hit paper breakdown → | 2009 | 1090 |
| 2 | IFITM3 restricts the morbidity and mortality associated with influenza Hit paper breakdown → | 2012 | 640 |
| 3 | 2011 | 338 | |
| 4 | 2013 | 196 | |
| 5 | 2013 | 152 | |
| 6 | 2015 | 138 | |
| 7 | 2015 | 137 | |
| 8 | 2017 | 131 | |
| 9 | 2017 | 114 | |
| 10 | 2017 | 92 | |
| 11 | 2012 | 35 | |
| 12 | 2017 | 31 |
About Eric M. Feeley
Eric M. Feeley is a scholar working on Immunology, Epidemiology, Infectious Diseases, Virology and Parasitology, having authored 12 papers that have together received 3.1k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Influenza Virus Research Studies (4 papers), Inflammasome and immune disorders (3 papers), Viral Infections and Vectors (2 papers), Toxoplasma gondii Research Studies (2 papers), Mosquito-borne diseases and control (2 papers), HIV Research and Treatment (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (1.7k citations), Virology (337 citations), Infectious Diseases (780 citations), Epidemiology (1.1k citations) and Parasitology (119 citations). Eric M. Feeley has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Abraham L. Brass, Stephen J. Elledge, Sinu P. John, Christopher R. Chin, Erol Fikrig, David J. Adams, Manoj N. Krishnan, Michael Reynolds Farzan, I‐Chueh Huang and Ramnik J. Xavier. Their work appears in journals such as mBio, Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Infection and Immunity 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.