William E. Diehl
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 5%
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- HIV/AIDS drug development and treatment
Papers in
-
- RNA Interference and Gene Delivery 3
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- Jeremy Luban (10 shared papers)Sean Matthew McCauley (5 shared papers)Kyusik Kim (4 shared papers)Eric Hunter (6 shared papers)Ann Dauphin (3 shared papers)Leonid Yurkovetskiy (3 shared papers)Welkin E. Johnson (4 shared papers)Mehmet Hakan Guney (2 shared papers)
- Journals
- Journal of Virology (3 papers)Viruses (3 papers)PLoS ONE (2 papers)Nature Microbiology (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCzechiaIndia
In The Last Decade
William E. Diehl
23 papers receiving 841 citations
Peers
Comparison fields: 5 of 82
- Virology 341
- Infectious Diseases 312
- Immunology 230
- Epidemiology 197
- Genetics 119
Countries citing papers authored by William E. Diehl
This map shows the geographic impact of William E. Diehl'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 William E. Diehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Diehl more than expected).
Fields of papers citing papers by William E. Diehl
This network shows the impact of papers produced by William E. Diehl. 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 William E. Diehl. The network helps show where William E. Diehl may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Diehl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 134 | |
| 2 | 2016 | 133 | |
| 3 | 2018 | 97 | |
| 4 | 2019 | 95 | |
| 5 | 2020 | 67 | |
| 6 | 2007 | 55 | |
| 7 | 2018 | 55 | |
| 8 | 2008 | 29 | |
| 9 | 2007 | 29 | |
| 10 | 2011 | 28 | |
| 11 | 2016 | 26 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2018 | 14 | |
| 15 | Thank God, it's Monday! | 1982 | 13 |
| 16 | 2010 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2013 | 8 | |
| 20 | 2013 | 8 |
About William E. Diehl
William E. Diehl is a scholar working on Molecular Biology, Virology, Immunology, Infectious Diseases and Epidemiology, having authored 25 papers that have together received 867 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Viral Infections and Outbreaks Research (5 papers), Virology and Viral Diseases (4 papers), interferon and immune responses (4 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Virology (341 citations), Infectious Diseases (312 citations), Immunology (230 citations), Epidemiology (197 citations) and Genetics (119 citations). William E. Diehl has collaborated with scholars based in United States, Czechia and India. Frequent co-authors include Jeremy Luban, Sean Matthew McCauley, Kyusik Kim, Eric Hunter, Ann Dauphin, Leonid Yurkovetskiy, Welkin E. Johnson, Mehmet Hakan Guney, Shuji Sato and Ruchi M. Newman. Their work appears in journals such as Journal of Virology, Viruses, PLoS ONE, Nature Microbiology and Nature Communications.
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.