Devan V. Mehrotra
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods in Clinical Trials 53
- Advanced Causal Inference Techniques 27
- Statistical Methods and Bayesian Inference 21
- Statistical Methods and Inference 17
- Virology 18
- HIV Research and Treatment 18
- Co-authors
- Michael RobertsonDanilo R. CasimiroRobin MoggLawrence CoreySusan BuchbinderM. Juliana McElrathPeter B. GilbertAnn Duerr
- Journals
- Statistics in Medicine (19 papers)Pharmaceutical Statistics (6 papers)Statistics in Biopharmaceutical Research (6 papers)The Journal of Infectious Diseases (5 papers)Clinical Trials (4 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Devan V. Mehrotra
100 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Virology 1.4k
- Statistics and Probability 713
- Immunology 1.1k
- Infectious Diseases 879
- Epidemiology 847
Countries citing papers authored by Devan V. Mehrotra
This map shows the geographic impact of Devan V. Mehrotra'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 Devan V. Mehrotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devan V. Mehrotra more than expected).
Fields of papers citing papers by Devan V. Mehrotra
This network shows the impact of papers produced by Devan V. Mehrotra. 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 Devan V. Mehrotra. The network helps show where Devan V. Mehrotra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Devan V. Mehrotra, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 11 | |
| 8 | 2019 | 0 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 41 | |
| 11 | 2017 | 170 | |
| 12 | 2011 | 56 | |
| 13 | 2010 | 2 | |
| 14 | 2010 | 21 | |
| 15 | 2008 | 15 | |
| 16 | 2006 | 26 | |
| 17 | 2006 | 38 | |
| 18 | 2005 | 30 | |
| 19 | 2003 | 85 | |
| 20 | 1997 | 5 |
About Devan V. Mehrotra
Devan V. Mehrotra is a scholar working on Statistics and Probability, Virology, Management Science and Operations Research, Statistics, Probability and Uncertainty and Genetics, having authored 107 papers that have together received 4.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (53 papers), Advanced Causal Inference Techniques (27 papers), Statistical Methods and Bayesian Inference (21 papers), HIV Research and Treatment (18 papers), Optimal Experimental Design Methods (18 papers), Statistical Methods and Inference (17 papers), Genetic Associations and Epidemiology (13 papers) and HIV/AIDS drug development and treatment (9 papers). The work is most often cited by research in Virology (1.4k citations), Statistics and Probability (713 citations), Immunology (1.1k citations), Infectious Diseases (879 citations) and Epidemiology (847 citations). Devan V. Mehrotra has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Michael Robertson, Danilo R. Casimiro, Robin Mogg, Lawrence Corey, Susan Buchbinder, M. Juliana McElrath, Peter B. Gilbert, Ann Duerr, Daniel W. Fitzgerald and Carlos del Rı́o. Their work appears in journals such as Statistics in Medicine, Pharmaceutical Statistics, Statistics in Biopharmaceutical Research, The Journal of Infectious Diseases and Clinical Trials.
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.