Samik Datta
- Microbiology top 0.5%
- Reproductive tract infections research 8
- Infectious Diseases top 2%
- Epidemiology top 2%
- Cervical Cancer and HPV Research 17
- Hepatitis B Virus Studies 12
- Health top 5%
- General Health Professions top 2%
- Adolescent Sexual and Reproductive Health 7
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- Genital Health and Disease 8
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- Insect and Pesticide Research 5
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- Plant and animal studies 5
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- Marine and fisheries research 5
- Co-authors
- Stuart M. BermanLauri E. MarkowitzJames T. LeeAmish TalwarGeraldine M. McQuillanMaya SternbergHillard WeinstockMatt J. Keeling
- Journals
- Vaccine (6 papers)MMWR Morbidity and Mortality Weekly Report (5 papers)Sexually Transmitted Diseases (4 papers)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Samik Datta
53 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Microbiology 497
- Infectious Diseases 687
- Epidemiology 995
- Health 195
- General Health Professions 551
Countries citing papers authored by Samik Datta
This map shows the geographic impact of Samik Datta'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 Samik Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samik Datta more than expected).
Fields of papers citing papers by Samik Datta
This network shows the impact of papers produced by Samik Datta. 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 Samik Datta. The network helps show where Samik Datta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samik Datta, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Factors linked to severe outcomes in multisystem inflammatory syndrome in children (MIS-C) in the USA: a retrospective surveillance studybreakdown → | 2021 | 197 |
| 4 | 2021 | 19 | |
| 5 | 2019 | 6 | |
| 6 | 2019 | 48 | |
| 7 | 2017 | 39 | |
| 8 | 2017 | 4 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 12 | |
| 11 | 2013 | 13 | |
| 12 | 2012 | 7 | |
| 13 | 2011 | 8 | |
| 14 | 2010 | 34 | |
| 15 | 2010 | 78 | |
| 16 | 2010 | 34 | |
| 17 | 2009 | 325 | |
| 18 | 2008 | 30 | |
| 19 | 2008 | 19 | |
| 20 | 2008 | 41 |
About Samik Datta
Samik Datta is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Modeling and Simulation and Health, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (17 papers), Hepatitis B Virus Studies (12 papers), Reproductive tract infections research (8 papers), Genital Health and Disease (8 papers), Adolescent Sexual and Reproductive Health (7 papers), Insect and Pesticide Research (5 papers), Plant and animal studies (5 papers) and Marine and fisheries research (5 papers). The work is most often cited by research in Microbiology (497 citations), Infectious Diseases (687 citations), Epidemiology (995 citations), Health (195 citations) and General Health Professions (551 citations). Samik Datta has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Stuart M. Berman, Lauri E. Markowitz, James T. Lee, Amish Talwar, Geraldine M. McQuillan, Maya Sternberg, Hillard Weinstock, Matt J. Keeling, John R. Papp and Sara E. Forhan. Their work appears in journals such as Vaccine, MMWR Morbidity and Mortality Weekly Report, Sexually Transmitted Diseases, Clinical Infectious Diseases and Cancer.
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.