Yuval Avnir
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Influenza Virus Research Studies 3
-
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Quan Zhu (5 shared papers)Wayne A. Marasco (6 shared papers)Aimée St. Clair Tallarico (4 shared papers)Jared Sheehan (4 shared papers)Eric Charles Peterson (3 shared papers)Sudhakar Agnihothram (2 shared papers)Chiung‐Yu Huang (2 shared papers)Yongjun Jiao (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Scientific Reports (1 paper)PLoS Pathogens (1 paper)mAbs (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Yuval Avnir
6 papers receiving 479 citations
Peers
Comparison fields: 5 of 46
- Infectious Diseases 211
- Immunology 168
- Radiology, Nuclear Medicine and Imaging 155
- Animal Science and Zoology 71
- Epidemiology 156
Countries citing papers authored by Yuval Avnir
This map shows the geographic impact of Yuval Avnir'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 Yuval Avnir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Avnir more than expected).
Fields of papers citing papers by Yuval Avnir
This network shows the impact of papers produced by Yuval Avnir. 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 Yuval Avnir. The network helps show where Yuval Avnir may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuval Avnir, 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 | 2014 | 182 | |
| 2 | 2016 | 124 | |
| 3 | 2014 | 99 | |
| 4 | 2016 | 66 | |
| 5 | 2016 | 8 | |
| 6 | 2020 | 4 |
About Yuval Avnir
Yuval Avnir is a scholar working on Epidemiology, Immunology, Animal Science and Zoology, Infectious Diseases and Genetics, having authored 6 papers that have together received 483 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Animal Virus Infections Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Diabetes and associated disorders (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Infectious Diseases (211 citations), Immunology (168 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Animal Science and Zoology (71 citations) and Epidemiology (156 citations). Yuval Avnir has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Quan Zhu, Wayne A. Marasco, Aimée St. Clair Tallarico, Jared Sheehan, Eric Charles Peterson, Sudhakar Agnihothram, Chiung‐Yu Huang, Yongjun Jiao, Ralph S. Baric and Andrew S. Bennett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Scientific Reports, PLoS Pathogens and mAbs.
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.