Stephen Whitney
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 14
- HIV Research and Treatment 14
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- vaccines and immunoinformatics approaches 4
- Co-authors
- Ranajit Pal (8 shared papers)Shixia Wang (4 shared papers)Siyuan Shen (4 shared papers)Shan Lu (4 shared papers)Lauren Hudacik (7 shared papers)B.C. Nair (3 shared papers)V. S. Kalyanaraman (3 shared papers)John R. Mascola (3 shared papers)
- Journals
- Virology (5 papers)Vaccine (3 papers)Retrovirology (2 papers)Journal of General Virology (1 paper)Biologicals (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Stephen Whitney
25 papers receiving 513 citations
Peers
Comparison fields: 5 of 75
- Virology 238
- Immunology 205
- Microbiology 37
- Infectious Diseases 100
- Epidemiology 167
Countries citing papers authored by Stephen Whitney
This map shows the geographic impact of Stephen Whitney'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 Stephen Whitney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Whitney more than expected).
Fields of papers citing papers by Stephen Whitney
This network shows the impact of papers produced by Stephen Whitney. 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 Stephen Whitney. The network helps show where Stephen Whitney may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Whitney, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 87 | |
| 2 | 2006 | 73 | |
| 3 | 1982 | 53 | |
| 4 | 1993 | 51 | |
| 5 | 2005 | 49 | |
| 6 | 2005 | 38 | |
| 7 | 2014 | 28 | |
| 8 | 2007 | 27 | |
| 9 | 2005 | 26 | |
| 10 | 1988 | 18 | |
| 11 | 2011 | 16 | |
| 12 | 2011 | 14 | |
| 13 | 2015 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2002 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2021 | 3 | |
| 20 | Suppressor deletion therapy. Selective elimination of T suppressor cells using a hematoporphyrin-conjugated monoclonal antibody. | 1988 | 3 |
About Stephen Whitney
Stephen Whitney is a scholar working on Virology, Molecular Biology, Immunology, Infectious Diseases and Epidemiology, having authored 27 papers that have together received 536 indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), HIV/AIDS drug development and treatment (4 papers), Immunotherapy and Immune Responses (4 papers), vaccines and immunoinformatics approaches (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), HIV/AIDS Research and Interventions (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Virology (238 citations), Immunology (205 citations), Microbiology (37 citations), Infectious Diseases (100 citations) and Epidemiology (167 citations). Stephen Whitney has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ranajit Pal, Shixia Wang, Siyuan Shen, Shan Lu, Lauren Hudacik, B.C. Nair, V. S. Kalyanaraman, John R. Mascola, Innocent Mboudjeka and Phillip D. Markham. Their work appears in journals such as Virology, Vaccine, Retrovirology, Journal of General Virology and Biologicals.
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.