Rohit Chitale

649 citations
28 papers · 433 · h-index 11

Impact in

Papers in

    • Antifungal resistance and susceptibility 2
    • HIV/AIDS Research and Interventions 2
    • Viral gastroenteritis research and epidemiology 2
    • Fungal Infections and Studies 2
    • Influenza Virus Research Studies 2

Rohit Chitale

23 papers receiving 413 citations

Peers

Rohit Chitale
Comparison fields: 5 of 85
  • Modeling and Simulation 79
  • Infectious Diseases 102
  • Epidemiology 144
  • Pathology and Forensic Medicine 61
  • Dermatology 27
Replace Pamela Cheung with:
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James H.B. Kong China
Frederik Trier Møller Denmark
Fei Zhao China
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Citations per field
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014135
2 201069
3 201342
4 200540
5 201823
6 202222
7 200814
8 201414
9 200414
10 201212
11 200812
12 201810
13 20128
14 20235
15 20243
16 20232
17 20112
18 20251
19 20231
20 20171

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 28 papers that have together received 433 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (2 papers), Zoonotic diseases and public health (2 papers), Antifungal resistance and susceptibility (2 papers), COVID-19 epidemiological studies (2 papers), Fungal Infections and Studies (2 papers), HIV/AIDS Research and Interventions (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Infectious Diseases (102 citations), Epidemiology (144 citations), Pathology and Forensic Medicine (61 citations) and Dermatology (27 citations). Rohit Chitale has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Jean-Paul Chrétien, Dylan B. George, Jeffrey Shaman, F. Ellis McKenzie, Gagangeet Sandhu, Rashmi Batra, Shamim Qazi, Anne W. Rimoin, Adriana Vince and M. C. Steinhoff. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, American Journal of Therapeutics, PLoS ONE, American Journal of Tropical Medicine and Hygiene and Biomedicines.

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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