Sumit Mukherjee
Impact in
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 9
- Genomics and Phylogenetic Studies 6
- RNA Research and Splicing 5
- Epidemiology 10
- Trypanosoma species research and implications 6
- Co-authors
- Milana Frenkel‐Morgenstern (15 shared papers)Supratim Sengupta (4 shared papers)Kai Zhang (5 shared papers)Danny Barash (7 shared papers)Wei Xu (3 shared papers)Dmitry Tworowski (2 shared papers)Fong‐Fu Hsu (2 shared papers)Alessandro Gorohovski (4 shared papers)
- Journals
- Scientific Reports (3 papers)FEBS Journal (2 papers)Bioinformatics (2 papers)Nature Communications (2 papers)Viruses (2 papers)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Sumit Mukherjee
37 papers receiving 513 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 7
- Infectious Diseases 89
- Cancer Research 68
- Molecular Biology 301
- Public Health, Environmental and Occupational Health 104
Countries citing papers authored by Sumit Mukherjee
This map shows the geographic impact of Sumit Mukherjee'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 Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Mukherjee more than expected).
Fields of papers citing papers by Sumit Mukherjee
This network shows the impact of papers produced by Sumit Mukherjee. 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 Mukherjee. The network helps show where Sumit Mukherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Mukherjee, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2024 | 48 | |
| 3 | 2018 | 48 | |
| 4 | 2015 | 36 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2019 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 9 |
About Sumit Mukherjee
Sumit Mukherjee is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Immunology and Cancer Research, having authored 40 papers that have together received 521 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (9 papers), Genomics and Phylogenetic Studies (6 papers), Research on Leishmaniasis Studies (6 papers), Trypanosoma species research and implications (6 papers), RNA Research and Splicing (5 papers), Viral Infections and Immunology Research (5 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Health Informatics (7 citations), Infectious Diseases (89 citations), Cancer Research (68 citations), Molecular Biology (301 citations) and Public Health, Environmental and Occupational Health (104 citations). Sumit Mukherjee has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Milana Frenkel‐Morgenstern, Supratim Sengupta, Kai Zhang, Danny Barash, Wei Xu, Dmitry Tworowski, Fong‐Fu Hsu, Alessandro Gorohovski, Juyang Huang and David Karasik. Their work appears in journals such as Scientific Reports, FEBS Journal, Bioinformatics, Nature Communications 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.