Reena H. Doshi

49 papers receiving 811 citations

Peers

Reena H. Doshi
Comparison fields: 5 of 91
  • Virology 174
  • Health 162
  • Applied Psychology 82
  • Modeling and Simulation 67
  • Infectious Diseases 226
Replace Chun Kang with:
Chun Kang South Korea
Arpan Acharya United States
Aurélie Mayet France
Sarah Patrick United States
Hannah Brindle United Kingdom
Patricia Holmgreen United States
Lina Moses United States
Kevin Tierney Canada
Jessica Kaufman Australia
Michael Pentella United States
Reena H. Doshi relative to Chun Kang South Korea Chun Kang's profile →
Citations per field
00.5×1.5×2.0×
Chun Kang · 1×
Citations per year

Countries citing papers authored by Reena H. Doshi

Since Specialization
Citations

This map shows the geographic impact of Reena H. Doshi'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 Reena H. Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reena H. Doshi more than expected).

Fields of papers citing papers by Reena H. Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reena H. Doshi. 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 Reena H. Doshi. The network helps show where Reena H. Doshi may publish in the future.

Co-authors

The 25 scholars most cited alongside Reena H. Doshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reena H. Doshi Line = papers co-authored together Reena H. Doshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004119
2 200666
3 201764
4 201743
5 202043
6 201728
7 201924
8 201724
9 201121
10 201920
11 201920
12 201820
13 201520
14 201718
15 202117
16 201917
17 201716
18 201515
19 201815
20 200814

About Reena H. Doshi

Reena H. Doshi is a scholar working on Epidemiology, Infectious Diseases, Health, Modeling and Simulation and Sociology and Political Science, having authored 51 papers that have together received 843 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Viral Infections and Outbreaks Research (10 papers), Virology and Viral Diseases (10 papers), COVID-19 epidemiological studies (8 papers), Immune responses and vaccinations (7 papers), HIV, Drug Use, Sexual Risk (6 papers), Sex work and related issues (5 papers) and Poxvirus research and outbreaks (5 papers). The work is most often cited by research in Virology (174 citations), Health (162 citations), Applied Psychology (82 citations), Modeling and Simulation (67 citations) and Infectious Diseases (226 citations). Reena H. Doshi has collaborated with scholars based in United States, Democratic Republic of the Congo and Uganda. Frequent co-authors include Robert West, Michael Ussher, Anne W. Rimoin, Nicole A. Hoff, Colin Drummond, Patrick Mukadi, Emile Okitolonda-Wemakoy, Sue Gerber, Vivian H. Alfonso and Adva Gadoth. Their work appears in journals such as Vaccine, The Pediatric Infectious Disease Journal, The Journal of Infectious Diseases, MMWR Morbidity and Mortality Weekly Report and EcoHealth.

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.

Explore authors with similar magnitude of impact