Steven G. Self
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Statistics and Probability top 0.1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
- Virology 32
- HIV Research and Treatment 32
-
- Statistical Methods and Bayesian Inference 19
- Statistical Methods and Inference 18
- Statistical Methods in Clinical Trials 13
- Advanced Statistical Methods and Models 10
- Co-authors
- Kung‐Yee LiangRoss L. PrenticeJanet R. DalingLawrence CoreyPeter B. GilbertDonald E. MooreNoel S. WeissMary Anne Rossing
- Journals
- Biometrics (11 papers)The Journal of Infectious Diseases (6 papers)Biometrika (4 papers)Journal of the American Statistical Association (4 papers)The Annals of Statistics (4 papers)
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
Steven G. Self
117 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Virology 1.8k
- Statistics and Probability 1.8k
- Immunology 2.2k
- Infectious Diseases 1.3k
- Reproductive Medicine 588
Countries citing papers authored by Steven G. Self
This map shows the geographic impact of Steven G. 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 Steven G. Self with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven G. Self more than expected).
Fields of papers citing papers by Steven G. Self
This network shows the impact of papers produced by Steven G. 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 Steven G. Self. The network helps show where Steven G. Self may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven G. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2015 | 34 | |
| 3 | 2013 | 105 | |
| 4 | 2011 | 56 | |
| 5 | 2011 | 13 | |
| 6 | Induction of a Striking Systemic Cytokine Cascade prior to Peak Viremia in Acute Human Immunodeficiency Virus Type 1 Infection, in Contrast to More Modest and Delayed Responses in Acute Hepatitis B and C Virus Infections Hit paper breakdown → | 2009 | 555 |
| 7 | 2009 | 26 | |
| 8 | 2009 | 362 | |
| 9 | 2008 | 7 | |
| 10 | 2007 | 18 | |
| 11 | 2006 | 11 | |
| 12 | 2006 | 50 | |
| 13 | 2004 | 4 | |
| 14 | 2004 | 1 | |
| 15 | 2003 | 54 | |
| 16 | 2001 | 94 | |
| 17 | 2001 | 97 | |
| 18 | 1997 | 168 | |
| 19 | 1995 | 31 | |
| 20 | Ovarian Tumors in a Cohort of Infertile Women Hit paper breakdown → | 1994 | 463 |
About Steven G. Self
Steven G. Self is a scholar working on Virology, Statistics and Probability, Hepatology, Infectious Diseases and Immunology, having authored 119 papers that have together received 10.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (32 papers), Statistical Methods and Bayesian Inference (19 papers), Statistical Methods and Inference (18 papers), Statistical Methods in Clinical Trials (13 papers), vaccines and immunoinformatics approaches (10 papers), Advanced Statistical Methods and Models (10 papers), HIV/AIDS Research and Interventions (9 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Virology (1.8k citations), Statistics and Probability (1.8k citations), Immunology (2.2k citations), Infectious Diseases (1.3k citations) and Reproductive Medicine (588 citations). Steven G. Self has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include Kung‐Yee Liang, Ross L. Prentice, Kung‐Yee Liang, Janet R. Daling, Lawrence Corey, Peter B. Gilbert, Donald E. Moore, Noel S. Weiss, Mary Anne Rossing and Yuqiong Liang. Their work appears in journals such as Biometrics, The Journal of Infectious Diseases, Biometrika, Journal of the American Statistical Association and The Annals of Statistics.
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.