Rubén O. Donis
- Agronomy and Crop Science top 0.02%
- Animal Disease Management and Epidemiology 100
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology 57
- Viral Infections and Vectors 17
- Epidemiology top 0.1%
- Influenza Virus Research Studies 125
- Respiratory viral infections research 50
- Immunology top 0.5%
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies 28
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- Virus-based gene therapy research 19
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- Vector-Borne Animal Diseases 16
- Co-authors
- Edward J. DuboviDaniel R. PérezNancy J. CoxJacqueline M. KatzLi-Mei ChenWayne V. CorapiC. Todd DavisYoshihiro Kawaoka
- Journals
- Science (2 papers)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesVietnamUnited Kingdom
In The Last Decade
Rubén O. Donis
188 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Agronomy and Crop Science 5.0k
- Infectious Diseases 4.6k
- Epidemiology 8.6k
- Immunology 3.1k
- Animal Science and Zoology 1.2k
Countries citing papers authored by Rubén O. Donis
This map shows the geographic impact of Rubén O. Donis'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 Rubén O. Donis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubén O. Donis more than expected).
Fields of papers citing papers by Rubén O. Donis
This network shows the impact of papers produced by Rubén O. Donis. 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 Rubén O. Donis. The network helps show where Rubén O. Donis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rubén O. Donis, 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 | 2024 | 6 | |
| 2 | 2020 | 15 | |
| 3 | 2018 | 59 | |
| 4 | 2016 | 144 | |
| 5 | 2015 | 6 | |
| 6 | 2014 | 37 | |
| 7 | 2012 | 38 | |
| 8 | 2011 | 104 | |
| 9 | 2011 | 51 | |
| 10 | 2011 | 128 | |
| 11 | 2011 | 80 | |
| 12 | 2009 | 21 | |
| 13 | 2009 | 24 | |
| 14 | 2009 | 12 | |
| 15 | 2008 | 50 | |
| 16 | RNA secondary structure prediction with simple pseudoknots | 2004 | 10 |
| 17 | 1997 | 7 | |
| 18 | 1995 | 116 | |
| 19 | 1995 | 82 | |
| 20 | 1992 | 4 |
About Rubén O. Donis
Rubén O. Donis is a scholar working on Agronomy and Crop Science, Infectious Diseases and Epidemiology, having authored 190 papers that have together received 12.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (125 papers), Animal Disease Management and Epidemiology (100 papers), Viral gastroenteritis research and epidemiology (57 papers), Respiratory viral infections research (50 papers), Animal Virus Infections Studies (28 papers), Virus-based gene therapy research (19 papers), Viral Infections and Vectors (17 papers) and Vector-Borne Animal Diseases (16 papers). The work is most often cited by research in Agronomy and Crop Science (5.0k citations), Infectious Diseases (4.6k citations) and Epidemiology (8.6k citations). Rubén O. Donis has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Edward J. Dubovi, Daniel R. Pérez, Nancy J. Cox, Jacqueline M. Katz, Li-Mei Chen, Wayne V. Corapi, C. Todd Davis, Yoshihiro Kawaoka, James Stevens and Gavin J. D. Smith. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.