Glen A. Satten
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 0.1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- Statistical Methods and Inference 26
- Statistical Methods and Bayesian Inference 25
- Advanced Causal Inference Techniques 14
- Virology 19
- HIV Research and Treatment 19
- Co-authors
- Frank Joseph Palella (2 shared papers)Jack Fuhrer (2 shared papers)Scott D. Holmberg (2 shared papers)Mark O. Loveless (2 shared papers)Anne C. Moorman (2 shared papers)Diane J. Aschman (2 shared papers)Somnath Datta (22 shared papers)Michael P. Epstein (14 shared papers)
- Journals
- Biometrics (12 papers)Genetic Epidemiology (10 papers)The American Journal of Human Genetics (10 papers)Journal of the American Statistical Association (9 papers)Bioinformatics (7 papers)
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Glen A. Satten
151 papers receiving 14.2k citations
Glen A. Satten's Hit Papers
Peers
Comparison fields: 5 of 196
- Virology 3.8k
- Infectious Diseases 6.0k
- Emergency Medicine 1.7k
- Statistics and Probability 1.2k
- Epidemiology 3.4k
Countries citing papers authored by Glen A. Satten
This map shows the geographic impact of Glen A. Satten'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 Glen A. Satten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen A. Satten more than expected).
Fields of papers citing papers by Glen A. Satten
This network shows the impact of papers produced by Glen A. Satten. 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 Glen A. Satten. The network helps show where Glen A. Satten may publish in the future.
Co-authors
The 25 scholars most cited alongside Glen A. Satten, 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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Declining Morbidity and Mortality among Patients with Advanced Human Immunodeficiency Virus Infection Hit paper breakdown → | 1998 | 8120 |
| 2 | 1992 | 416 | |
| 3 | 1995 | 310 | |
| 4 | 1995 | 292 | |
| 5 | 2010 | 250 | |
| 6 | 2016 | 234 | |
| 7 | 2003 | 208 | |
| 8 | 2001 | 205 | |
| 9 | 2010 | 185 | |
| 10 | 2003 | 183 | |
| 11 | 1997 | 177 | |
| 12 | 1994 | 173 | |
| 13 | 2005 | 145 | |
| 14 | 2003 | 143 | |
| 15 | 1997 | 137 | |
| 16 | 1994 | 136 | |
| 17 | 2001 | 132 | |
| 18 | 2007 | 123 | |
| 19 | 2001 | 112 | |
| 20 | 1996 | 109 |
About Glen A. Satten
Glen A. Satten is a scholar working on Statistics and Probability, Virology, Genetics, Infectious Diseases and Epidemiology, having authored 154 papers that have together received 15.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (31 papers), Statistical Methods and Inference (26 papers), Statistical Methods and Bayesian Inference (25 papers), HIV/AIDS Research and Interventions (20 papers), HIV Research and Treatment (19 papers), Gut microbiota and health (15 papers), Genetic and phenotypic traits in livestock (14 papers) and Advanced Causal Inference Techniques (14 papers). The work is most often cited by research in Virology (3.8k citations), Infectious Diseases (6.0k citations), Emergency Medicine (1.7k citations), Statistics and Probability (1.2k citations) and Epidemiology (3.4k citations). Glen A. Satten has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Frank Joseph Palella, Jack Fuhrer, Scott D. Holmberg, Mark O. Loveless, Anne C. Moorman, Diane J. Aschman, Somnath Datta, Michael P. Epstein, Andrew S. Allen and Michael Paul Busch. Their work appears in journals such as Biometrics, Genetic Epidemiology, The American Journal of Human Genetics, Journal of the American Statistical Association and Bioinformatics.
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.