Keya Joshi

1.3k citations
17 papers · 191 · h-index 6

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • HIV/AIDS Research and Interventions
    • COVID-19 Clinical Research Studies

Papers in

Keya Joshi

15 papers receiving 188 citations

Peers

Keya Joshi
Comparison fields: 5 of 51
  • Modeling and Simulation 60
  • Infectious Diseases 91
  • Health 22
  • Epidemiology 22
  • General Dentistry 1
Replace Tiffany Charmet with:
Tiffany Charmet France
Senga Lucy Sembuche Ethiopia
Mohamed Moussif United States
Matthew S. Gilmer United States
Olivia Chény France
Kanako Otani Japan
Thomas J. Duszynski United States
Joe Flannagan United Kingdom
Mustapha Bittaye Gambia
Faïza Omar France
Keya Joshi relative to Tiffany Charmet France Tiffany Charmet's profile →
Citations per field
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Tiffany Charmet · 1×
Citations per year

Countries citing papers authored by Keya Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Keya Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keya Joshi. 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 Keya Joshi. The network helps show where Keya Joshi may publish in the future.

Co-authors

The 25 scholars most cited alongside Keya Joshi, 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 Keya Joshi Line = papers co-authored together Keya Joshi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202174
2 202136
3 202024
4 202316
5 202214
6 202310
7 20253
8 20253
9 20243
10 20232
11 20232
12 20231
13 20241
14 20241
15 20251
16 20250
17 20210

About Keya Joshi

Keya Joshi is a scholar working on Infectious Diseases, Modeling and Simulation, Health, Neurology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 191 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 epidemiological studies (4 papers), Vaccine Coverage and Hesitancy (2 papers), Long-Term Effects of COVID-19 (2 papers), Protein Structure and Dynamics (2 papers), Viral Infections and Immunology Research (2 papers), Infection Control and Ventilation (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Modeling and Simulation (60 citations), Infectious Diseases (91 citations), Health (22 citations), Epidemiology (22 citations) and General Dentistry (1 citation). Keya Joshi has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Rebecca J. Kahn, Lee Kennedy‐Shaffer, Marc Lipsitch, Xueting Qiu, Edward M. Goldstein, Mats Julius Stensrud, Müge Çevik, René Niehus, Emma K. Accorsi and Gideon S Loevinsohn. Their work appears in journals such as Journal of Medical Economics, Vaccine, Journal of the International AIDS Society, Human Vaccines & Immunotherapeutics and Vaccines.

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.

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