Sumit Rai
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Antibiotic Resistance in Bacteria 10
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- Enterobacteriaceae and Cronobacter Research 3
- Infections and bacterial resistance 2
- Co-authors
- Pankaj Sharma (2 shared papers)Vikas Manchanda (8 shared papers)Anita Chakravarti (2 shared papers)NP Singh (4 shared papers)Manisha Jain (1 shared paper)Ujjala Ghoshal (1 shared paper)Sanjay Jain (1 shared paper)Preena Bhalla (2 shared papers)
- Journals
- Indian Journal of Medical Microbiology (19 papers)Journal of Infection and Public Health (1 paper)Journal of Hospital Infection (1 paper)Journal of Hydrology (1 paper)Geoderma (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Sumit Rai
42 papers receiving 443 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 166
- Applied Microbiology and Biotechnology 31
- Endocrinology 82
- Infectious Diseases 101
- Clinical Biochemistry 29
Countries citing papers authored by Sumit Rai
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
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.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2011 | 45 | |
| 3 | 2008 | 41 | |
| 4 | 2007 | 41 | |
| 5 | 2023 | 34 | |
| 6 | 2014 | 25 | |
| 7 | 2004 | 25 | |
| 8 | 2013 | 22 | |
| 9 | 2011 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2008 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2014 | 11 | |
| 17 | 2011 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2023 | 6 |
About Sumit Rai
Sumit Rai is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 46 papers that have together received 472 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Salmonella and Campylobacter epidemiology (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Use and Resistance (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Enterobacteriaceae and Cronobacter Research (3 papers) and Infections and bacterial resistance (2 papers). The work is most often cited by research in Molecular Medicine (166 citations), Applied Microbiology and Biotechnology (31 citations), Endocrinology (82 citations), Infectious Diseases (101 citations) and Clinical Biochemistry (29 citations). Sumit Rai has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Pankaj Sharma, Vikas Manchanda, Anita Chakravarti, NP Singh, Manisha Jain, Ujjala Ghoshal, Sanjay Jain, Preena Bhalla, Rajiv Chopra and Sita D. Gupta. Their work appears in journals such as Indian Journal of Medical Microbiology, Journal of Infection and Public Health, Journal of Hospital Infection, Journal of Hydrology and Geoderma.
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.