David Sahner
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- COVID-19 Clinical Research Studies 3
- HIV/AIDS Research and Interventions 2
- SARS-CoV-2 and COVID-19 Research 1
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Jeffrey P. Nadler (1 shared paper)Wai Yie Leong (1 shared paper)Martin Giedlin (1 shared paper)Andrew T. Pavia (1 shared paper)Doreen Chaitt (1 shared paper)William B. Capra (1 shared paper)H. Clifford Lane (1 shared paper)Steven Boswell (1 shared paper)
- Journals
- The Journal of Infectious Diseases (2 papers)Clinical Infectious Diseases (1 paper)JAMA (1 paper)Computational and Structural Biotechnology Journal (1 paper)Journal of Pain (1 paper)
- Partner nations
- United StatesItalyPuerto Rico
In The Last Decade
David Sahner
10 papers receiving 278 citations
Peers
Comparison fields: 5 of 49
- Virology 198
- Infectious Diseases 150
- Emergency Medicine 53
- Immunology 101
- Epidemiology 67
Countries citing papers authored by David Sahner
This map shows the geographic impact of David Sahner'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 Sahner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sahner more than expected).
Fields of papers citing papers by David Sahner
This network shows the impact of papers produced by David Sahner. 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 Sahner. The network helps show where David Sahner may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sahner, 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 | 2000 | 138 | |
| 2 | 2006 | 60 | |
| 3 | 2003 | 43 | |
| 4 | 2022 | 12 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 7 | |
| 7 | 2008 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2007 | 2 | |
| 10 | 2025 | 1 |
About David Sahner
David Sahner is a scholar working on Infectious Diseases, Virology, Molecular Biology, Epidemiology and Genetics, having authored 10 papers that have together received 285 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), HIV/AIDS Research and Interventions (2 papers), Diabetes and associated disorders (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Long-Term Effects of COVID-19 (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Virology (198 citations), Infectious Diseases (150 citations), Emergency Medicine (53 citations), Immunology (101 citations) and Epidemiology (67 citations). David Sahner has collaborated with scholars based in United States, Italy and Puerto Rico. Frequent co-authors include Jeffrey P. Nadler, Wai Yie Leong, Martin Giedlin, Andrew T. Pavia, Doreen Chaitt, William B. Capra, H. Clifford Lane, Steven Boswell, Francesco Graziano and Richard T. Davey. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Infectious Diseases, JAMA, Computational and Structural Biotechnology Journal and Journal of Pain.
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.