Steve Self
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
- Virology 23
- HIV Research and Treatment 23
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- HIV/AIDS drug development and treatment 6
- HIV/AIDS Research and Interventions 3
- Co-authors
- Yudi Pawitan (3 shared papers)Blake Wood (4 shared papers)Ron Brookmeyer (1 shared paper)William J. Huster (1 shared paper)David C. Montefiori (6 shared papers)Peter B. Gilbert (10 shared papers)Xuesong Yu (4 shared papers)Michael S. Seaman (3 shared papers)
- Journals
- Journal of Virology (5 papers)PLoS ONE (5 papers)Biometrics (4 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (4 papers)The Journal of Infectious Diseases (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Steve Self
56 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 118
- Virology 1.3k
- Statistics and Probability 381
- Infectious Diseases 654
- Immunology 730
- Cardiology and Cardiovascular Medicine 305
Countries citing papers authored by Steve Self
This map shows the geographic impact of Steve Self'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 Steve Self with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Self more than expected).
Fields of papers citing papers by Steve Self
This network shows the impact of papers produced by Steve Self. 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 Steve Self. The network helps show where Steve Self may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Self, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 450 | |
| 2 | 2008 | 411 | |
| 3 | 2013 | 195 | |
| 4 | 2011 | 186 | |
| 5 | 1989 | 176 | |
| 6 | 2010 | 97 | |
| 7 | 1998 | 95 | |
| 8 | 2010 | 93 | |
| 9 | 1993 | 84 | |
| 10 | 2006 | 75 | |
| 11 | 2000 | 67 | |
| 12 | 2018 | 62 | |
| 13 | 2016 | 62 | |
| 14 | 2015 | 57 | |
| 15 | 1992 | 48 | |
| 16 | 2004 | 47 | |
| 17 | 2001 | 41 | |
| 18 | 2007 | 40 | |
| 19 | 1991 | 38 | |
| 20 | 1999 | 35 |
About Steve Self
Steve Self is a scholar working on Virology, Infectious Diseases, Molecular Biology, Statistics and Probability and Immunology, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (23 papers), Hepatitis C virus research (6 papers), HIV/AIDS drug development and treatment (6 papers), Viral Infections and Immunology Research (5 papers), vaccines and immunoinformatics approaches (5 papers), Statistical Methods and Inference (4 papers), Immunotherapy and Immune Responses (4 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Virology (1.3k citations), Statistics and Probability (381 citations), Infectious Diseases (654 citations), Immunology (730 citations) and Cardiology and Cardiovascular Medicine (305 citations). Steve Self has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yudi Pawitan, Blake Wood, Ron Brookmeyer, William J. Huster, David C. Montefiori, Peter B. Gilbert, Xuesong Yu, Michael S. Seaman, Jakob Armann and Leonidas Stamatatos. Their work appears in journals such as Journal of Virology, PLoS ONE, Biometrics, JAIDS Journal of Acquired Immune Deficiency Syndromes and The Journal of Infectious Diseases.
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.