David M. Renner
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- interferon and immune responses
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Vectors 2
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- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Co-authors
- Susan R. Weiss (8 shared papers)Li Tan (5 shared papers)Noam A. Cohen (4 shared papers)Courtney E. Comar (2 shared papers)Jillian N. Whelan (2 shared papers)Robert H. Silverman (2 shared papers)Yize Li (2 shared papers)Beihua Dong (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Molecular Biology of the Cell (1 paper)American Journal of Rhinology and Allergy (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)mBio (1 paper)
- Partner nations
- United States
In The Last Decade
David M. Renner
9 papers receiving 241 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 137
- Immunology 73
- Animal Science and Zoology 22
- Neurology 24
- Molecular Biology 90
Countries citing papers authored by David M. Renner
This map shows the geographic impact of David M. Renner'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 David M. Renner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Renner more than expected).
Fields of papers citing papers by David M. Renner
This network shows the impact of papers produced by David M. Renner. 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 David M. Renner. The network helps show where David M. Renner may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Renner, 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 | 2021 | 149 | |
| 2 | 2022 | 25 | |
| 3 | 2017 | 18 | |
| 4 | 2019 | 15 | |
| 5 | 2021 | 12 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About David M. Renner
David M. Renner is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 11 papers that have together received 241 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (137 citations), Immunology (73 citations), Animal Science and Zoology (22 citations), Neurology (24 citations) and Molecular Biology (90 citations). David M. Renner has collaborated with scholars based in United States. Frequent co-authors include Susan R. Weiss, Li Tan, Noam A. Cohen, Courtney E. Comar, Jillian N. Whelan, Robert H. Silverman, Yize Li, Beihua Dong, Michael A. Kohanski and Rachel Truitt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, American Journal of Rhinology and Allergy, American Journal of Physiology-Lung Cellular and Molecular Physiology and mBio.
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.