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
-
- interferon and immune responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Vectors 2
-
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Co-authors
- Susan R. Weiss (10 shared papers)Li Tan (6 shared papers)Noam A. Cohen (6 shared papers)Courtney E. Comar (2 shared papers)Robert H. Silverman (2 shared papers)Jillian N. Whelan (2 shared papers)Yize Li (2 shared papers)Beihua Dong (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)mBio (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)American Journal of Rhinology and Allergy (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesSwitzerlandSlovakia
In The Last Decade
David M. Renner
11 papers receiving 264 citations
Peers
Comparison fields: 5 of 47
- Infectious Diseases 135
- Immunology 63
- Animal Science and Zoology 21
- Neurology 24
- Molecular Biology 88
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 | 153 | |
| 2 | 2022 | 30 | |
| 3 | 2017 | 19 | |
| 4 | 2019 | 15 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 |
About David M. Renner
David M. Renner is a scholar working on Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health, Cell Biology and Immunology, having authored 13 papers that have together received 264 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (3 papers), RNA and protein synthesis mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Mosquito-borne diseases and control (2 papers), interferon and immune responses (2 papers), Viral Infections and Vectors (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Infectious Diseases (135 citations), Immunology (63 citations), Animal Science and Zoology (21 citations), Neurology (24 citations) and Molecular Biology (88 citations). David M. Renner has collaborated with scholars based in United States, Switzerland and Slovakia. Frequent co-authors include Susan R. Weiss, Li Tan, Noam A. Cohen, Courtney E. Comar, Robert H. Silverman, Jillian N. Whelan, Yize Li, Beihua Dong, Fabian L. Cardenas‐Diaz and James N. Palmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, mBio, American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Rhinology and Allergy and Molecular and Cellular Biology.
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.