Mayur Ramesh

4.9k citations
77 papers · 1.5k · h-index 19

Impact in

    • COVID-19 Clinical Research Studies
    • Clostridium difficile and Clostridium perfringens research
    • SARS-CoV-2 and COVID-19 Research
    • Gastrointestinal motility and disorders

Papers in

    • Clostridium difficile and Clostridium perfringens research 22
    • COVID-19 Clinical Research Studies 10
    • SARS-CoV-2 and COVID-19 Research 7
    • Microscopic Colitis 9
    • Mycobacterium research and diagnosis 4

Mayur Ramesh

68 papers receiving 1.5k citations

Peers

Mayur Ramesh
Comparison fields: 5 of 96
  • Infectious Diseases 866
  • Gastroenterology 100
  • Neurology 181
  • Critical Care and Intensive Care Medicine 52
  • Epidemiology 333
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Citations per field
00.5×10×14.4×
Patricia P. Bloom · 1×
Citations per year

Countries citing papers authored by Mayur Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Mayur Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020463
2 2015167
3 202096
4 201470
5 202058
6 201346
7 201435
8 201434
9 201733
10 201631
11 201831
12 201830
13 201628
14 201525
15 202422
16 202021
17 202120
18 202020
19
Clinical characteristics and outcomes of COVID-19 in solid organ transplant recipients: A case-control study.
202019
20 202018

About Mayur Ramesh

Mayur Ramesh is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (22 papers), COVID-19 Clinical Research Studies (10 papers), Microscopic Colitis (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Gut microbiota and health (5 papers), Long-Term Effects of COVID-19 (5 papers), Hidradenitis Suppurativa and Treatments (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Infectious Diseases (866 citations), Gastroenterology (100 citations), Neurology (181 citations), Critical Care and Intensive Care Medicine (52 citations) and Epidemiology (333 citations). Mayur Ramesh has collaborated with scholars based in United States, India and Canada. Frequent co-authors include George Alangaden, Amit Vahia, Raef Fadel, Zohra Chaudhry, Marcus Zervos, Zachary R. Hanna, Indira Brar, Joseph Miller, Geehan Suleyman and Zachary Demertzis. Their work appears in journals such as Open Forum Infectious Diseases, American Journal of Transplantation, The American Journal of Gastroenterology, Infection Control and Hospital Epidemiology and Digestive Diseases and Sciences.

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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