James Peng
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- HIV/AIDS Research and Interventions
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- HIV/AIDS Research and Interventions 4
- SARS-CoV-2 detection and testing 2
- SARS-CoV-2 and COVID-19 Research 2
-
- HIV, Drug Use, Sexual Risk 3
- Co-authors
- Diane V. Havlir (8 shared papers)Maya Petersen (4 shared papers)Gabriel Chamie (6 shared papers)Carina Marquez (4 shared papers)Douglas Black (5 shared papers)Jon Jacobo (3 shared papers)Jean‐Luc Gaudiot (1 shared paper)Valerie Tulier-Laiwa (3 shared papers)
- Journals
- Clinical Infectious Diseases (2 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)Journal of the International AIDS Society (1 paper)Environment International (1 paper)Biostatistics (1 paper)
- Partner nations
- United StatesUgandaKenya
In The Last Decade
James Peng
14 papers receiving 193 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 129
- Modeling and Simulation 28
- Health 24
- Virology 9
- General Health Professions 34
Countries citing papers authored by James Peng
This map shows the geographic impact of James Peng'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 James Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Peng more than expected).
Fields of papers citing papers by James Peng
This network shows the impact of papers produced by James Peng. 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 James Peng. The network helps show where James Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside James Peng, 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 | 2020 | 53 | |
| 2 | 2020 | 39 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 21 | |
| 5 | 2017 | 17 | |
| 6 | 2020 | 9 | |
| 7 | 2000 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 4 | |
| 10 | 2021 | 4 | |
| 11 | [A sample survey and multiple factor analysis on asthma in urban area of Shanghai]. | 1996 | 4 |
| 12 | 2022 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 |
About James Peng
James Peng is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Health and Sociology and Political Science, having authored 15 papers that have together received 201 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), HIV, Drug Use, Sexual Risk (3 papers), SARS-CoV-2 detection and testing (2 papers), Vaccine Coverage and Hesitancy (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Health, Environment, Cognitive Aging (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (129 citations), Modeling and Simulation (28 citations), Health (24 citations), Virology (9 citations) and General Health Professions (34 citations). James Peng has collaborated with scholars based in United States, Uganda and Kenya. Frequent co-authors include Diane V. Havlir, Maya Petersen, Gabriel Chamie, Carina Marquez, Douglas Black, Jon Jacobo, Jean‐Luc Gaudiot, Valerie Tulier-Laiwa, Diane Jones and Jackie Martinez. Their work appears in journals such as Clinical Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of the International AIDS Society, Environment International and Biostatistics.
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.