Rupal M. Mody

1.2k citations
40 papers · 709 · h-index 15

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Tuberculosis Research and Epidemiology
    • Long-Term Effects of COVID-19

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 3
    • SARS-CoV-2 detection and testing 3
    • Long-Term Effects of COVID-19 6

Rupal M. Mody

39 papers receiving 693 citations

Peers

Rupal M. Mody
Comparison fields: 5 of 91
  • Infectious Diseases 284
  • Neurology 93
  • Critical Care and Intensive Care Medicine 21
  • Molecular Medicine 22
  • Health 33
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Citations per field
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Citations per year

Countries citing papers authored by Rupal M. Mody

Since Specialization
Citations

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

Fields of papers citing papers by Rupal M. Mody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rupal M. Mody. 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 Rupal M. Mody. The network helps show where Rupal M. Mody may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200994
2 202271
3 202360
4 202247
5 202244
6 201743
7 200240
8 202130
9 200724
10 202123
11 202122
12 201821
13 202118
14 200616
15 201516
16 202313
17 202113
18 201312
19 201110
20 201410

About Rupal M. Mody

Rupal M. Mody is a scholar working on Infectious Diseases, Neurology, Small Animals, Epidemiology and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 709 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), Research on Leishmaniasis Studies (3 papers), SARS-CoV-2 detection and testing (3 papers), Malaria Research and Control (2 papers), Infections and bacterial resistance (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Infectious Diseases (284 citations), Neurology (93 citations), Critical Care and Intensive Care Medicine (21 citations), Molecular Medicine (22 citations) and Health (33 citations). Rupal M. Mody has collaborated with scholars based in United States, Thailand and Jordan. Frequent co-authors include Linda L. Werling, Paige E. Waterman, Romney C. Andersen, Paul M. Robben, Naomi Aronson, Glenn W. Wortmann, Michael J. Zapor, Joshua D. Hartzell, Richard F. Trotta and Cara H. Olsen. Their work appears in journals such as Open Forum Infectious Diseases, The Journal of Infectious Diseases, Clinical Infectious Diseases, American Journal of Tropical Medicine and Hygiene and PLoS ONE.

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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