Daniel W. Renner
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
- Epidemiology 15
- Herpesvirus Infections and Treatments 15
- Cytomegalovirus and herpesvirus research 6
- Virology 9
- Poxvirus research and outbreaks 9
- Co-authors
- Moriah L. Szpara (17 shared papers)Christine Johnston (3 shared papers)Utsav Pandey (5 shared papers)Chad V. Kuny (3 shared papers)Mackenzie M. Shipley (3 shared papers)István Albert (1 shared paper)Yinan Wan (1 shared paper)David C. Bloom (2 shared papers)
- Journals
- Virus Evolution (2 papers)mSphere (2 papers)PLoS Pathogens (2 papers)Journal of Virology (2 papers)JAMA (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Daniel W. Renner
19 papers receiving 346 citations
Peers
Comparison fields: 5 of 61
- Virology 62
- Epidemiology 252
- Parasitology 26
- Animal Science and Zoology 29
- Genetics 63
Countries citing papers authored by Daniel W. Renner
This map shows the geographic impact of Daniel W. 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 Daniel W. Renner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Renner more than expected).
Fields of papers citing papers by Daniel W. Renner
This network shows the impact of papers produced by Daniel W. 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 Daniel W. Renner. The network helps show where Daniel W. Renner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. 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 | 2017 | 72 | |
| 2 | 2016 | 29 | |
| 3 | 2020 | 28 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 27 | |
| 6 | 2015 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2017 | 21 | |
| 11 | 2021 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2019 | 11 | |
| 14 | Learning American Sign Language: Levels I & II--Beginning & Intermediate, with DVD (Text & DVD Package) (2nd Edition) | 2004 | 3 |
| 15 | 2024 | 2 | |
| 16 | Learning American Sign Language: Levels I & II--Beginning & Intermediate | 2003 | 2 |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 |
About Daniel W. Renner
Daniel W. Renner is a scholar working on Epidemiology, Virology, Parasitology, Infectious Diseases and Dermatology, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (15 papers), Poxvirus research and outbreaks (9 papers), Cytomegalovirus and herpesvirus research (6 papers), Hearing Impairment and Communication (2 papers), Acne and Rosacea Treatments and Effects (2 papers), Animal Virus Infections Studies (2 papers), Parvovirus B19 Infection Studies (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (62 citations), Epidemiology (252 citations), Parasitology (26 citations), Animal Science and Zoology (29 citations) and Genetics (63 citations). Daniel W. Renner has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Moriah L. Szpara, Christine Johnston, Utsav Pandey, Chad V. Kuny, Mackenzie M. Shipley, István Albert, Yinan Wan, David C. Bloom, David M. Koelle and Jacob Shreve. Their work appears in journals such as Virus Evolution, mSphere, PLoS Pathogens, Journal of Virology and JAMA.
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.