Sumit Rai

601 citations
36 papers · 400 · h-index 14

Impact in

    • Antibiotic Resistance in Bacteria
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

Sumit Rai

34 papers receiving 379 citations

Peers

Sumit Rai
Comparison fields: 5 of 78
  • Molecular Medicine 167
  • Endocrinology 106
  • Applied Microbiology and Biotechnology 35
  • Clinical Biochemistry 43
  • Infectious Diseases 116
Replace Chi-Chung Chen with:
Chi-Chung Chen Taiwan
Ibrahim Alzahrani Saudi Arabia
Stefan Meier Germany
Shijun Sun China
Carla Calia Italy
Catherine King United States
Josefa Luxner Austria
Céline Colinon France
Torahiko Okubo Japan
Carmen Li Hong Kong
Sumit Rai relative to Chi-Chung Chen Taiwan Chi-Chung Chen's profile →
Citations per field
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Chi-Chung Chen · 1×
Citations per year

Countries citing papers authored by Sumit Rai

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201250
2 201138
3 200738
4 200835
5 202326
6 201424
7 200424
8 201321
9 201817
10 201117
11 202015
12 201514
13 200814
14 202013
15 201210
16 201410
17 20145
18 20185
19 20233
20 20133

About Sumit Rai

Sumit Rai is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 400 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Enterobacteriaceae and Cronobacter Research (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Urinary Tract Infections Management (3 papers). The work is most often cited by research in Molecular Medicine (167 citations), Endocrinology (106 citations), Applied Microbiology and Biotechnology (35 citations), Clinical Biochemistry (43 citations) and Infectious Diseases (116 citations). Sumit Rai has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Pankaj Sharma, Vikas Manchanda, NP Singh, Anita Chakravarti, Manisha Jain, Sanjay Jain, Ujjala Ghoshal, Preena Bhalla, Sita D. Gupta and Rajiv Chopra. Their work appears in journals such as Indian Journal of Medical Microbiology, Journal of Hydrology, International Journal of Infectious Diseases, Geoderma and Pathogens and Global Health.

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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