Sumit Sharma

1.8k citations
43 papers · 1.1k · h-index 21

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 29
    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 3
    • Clostridium difficile and Clostridium perfringens research 3
    • Viral Infections and Immunology Research 18

Sumit Sharma

42 papers receiving 1.1k citations

Peers

Sumit Sharma
Comparison fields: 5 of 98
  • Infectious Diseases 936
  • Hepatology 296
  • Animal Science and Zoology 326
  • Cardiology and Cardiovascular Medicine 438
  • Endocrinology 37
Replace M Riepenhoff-Talty with:
M Riepenhoff-Talty United States
Jaana Joensuu Finland
Marie Hagbom Sweden
S. Hannah Shirley United States
Indrani Banerjee India
Fumihiro Yagyu Japan
Alicia Sánchez-Fauquier Spain
Marjo Salminen Finland
Alexandre Madi Fialho Brazil
Marina Monini Italy
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Citations per field
00.5×9.2×
M Riepenhoff-Talty · 1×
Citations per year

Countries citing papers authored by Sumit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014173
2 200870
3 201256
4 201855
5 200652
6 201250
7 201646
8 202045
9 200742
10 201240
11 201639
12 200937
13 202136
14 201736
15 202030
16 201530
17 201430
18 201228
19 201925
20 201821

About Sumit Sharma

Sumit Sharma is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Hepatology and Surgery, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (29 papers), Viral Infections and Immunology Research (18 papers), Animal Virus Infections Studies (10 papers), Hepatitis Viruses Studies and Epidemiology (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Congenital Anomalies and Fetal Surgery (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Infectious Diseases (936 citations), Hepatology (296 citations), Animal Science and Zoology (326 citations), Cardiology and Cardiovascular Medicine (438 citations) and Endocrinology (37 citations). Sumit Sharma has collaborated with scholars based in Sweden, India and United States. Frequent co-authors include Johan Nordgren, Lennart Svensson, Pratima Ray, Marie Hagbom, M. K. Bhan, Filemón Bucardo, Jacques Simporè, Djénèba Ouermi, Léon W. Nitièma and Lennart Hammarström. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Virology, Heliyon, Scientific Reports and Viruses.

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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