Rohit Chitale

636 citations
26 papers · 425 · h-index 11

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • HIV/AIDS Research and Interventions 2
    • Antifungal resistance and susceptibility 2
    • Otolaryngology and Infectious Diseases 2
    • Data-Driven Disease Surveillance 2

Rohit Chitale

20 papers receiving 406 citations

Peers

Rohit Chitale
Comparison fields: 5 of 90
  • Modeling and Simulation 92
  • Infectious Diseases 148
  • Epidemiology 170
  • Pathology and Forensic Medicine 70
  • Cancer Research 58
Replace Pamela Cheung with:
Pamela Cheung United States
Mariantonietta Pisaturo Italy
James H.B. Kong China
Naiyana Praditsitthikorn Thailand
Manuel Ortega-Álvarez Mexico
Xiaoxiao Liu China
Frederik Trier Møller Denmark
Jie Qian China
Xiaoyong Liu China
Rohit Chitale relative to Pamela Cheung United States Pamela Cheung's profile →
Citations per field
00.5×8.8×
Pamela Cheung · 1×
Citations per year

Countries citing papers authored by Rohit Chitale

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Chitale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014133
2 201068
3 201341
4 200540
5 201823
6 202221
7 200814
8 201414
9 200414
10 201212
11 200812
12 201810
13 20128
14 20235
15 20243
16 20112
17 20232
18 20171
19 20231
20 20211

About Rohit Chitale

Rohit Chitale is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Surgery, having authored 26 papers that have together received 425 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), HIV/AIDS Research and Interventions (2 papers), Viral Infections and Immunology Research (2 papers), Data-Driven Disease Surveillance (2 papers), Bacillus and Francisella bacterial research (2 papers), Antifungal resistance and susceptibility (2 papers), Zoonotic diseases and public health (2 papers) and Otolaryngology and Infectious Diseases (2 papers). The work is most often cited by research in Modeling and Simulation (92 citations), Infectious Diseases (148 citations), Epidemiology (170 citations), Pathology and Forensic Medicine (70 citations) and Cancer Research (58 citations). Rohit Chitale has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Jean-Paul Chrétien, Dylan B. George, F. Ellis McKenzie, Jeffrey Shaman, Gagangeet Sandhu, Rashmi Batra, Adriana Vince, M. C. Steinhoff, Anne W. Rimoin and Shamim Qazi. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, American Journal of Therapeutics, PLoS ONE, Astrobiology and Substance Use & Misuse.

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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