Suresh Kumar
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Machine Learning in Bioinformatics 8
- Ubiquitin and proteasome pathways 6
- Genomics and Phylogenetic Studies 6
- Protein Structure and Dynamics 5
-
- Computational Drug Discovery Methods 12
- Co-authors
- Kalimuthu Karuppanan (4 shared papers)Gunasekaran Subramaniam (3 shared papers)Winkins Santosh (3 shared papers)Shiek S. S. J. Ahmed (3 shared papers)Lihu Zhang (5 shared papers)Xiaowei Xu (5 shared papers)Hongyan Wu (2 shared papers)David E. Sterner (4 shared papers)
- Journals
- Journal of Medical Virology (5 papers)Archives of Microbiology (3 papers)Cancer (2 papers)American Journal Of Pathology (2 papers)Biology (2 papers)
- Partner nations
- MalaysiaIndiaUnited States
In The Last Decade
Suresh Kumar
87 papers receiving 2.0k citations
Suresh Kumar's Hit Papers
Peers
Comparison fields: 5 of 138
- Infectious Diseases 525
- Molecular Medicine 103
- Applied Microbiology and Biotechnology 31
- Molecular Biology 820
- Neurology 152
Countries citing papers authored by Suresh Kumar
This map shows the geographic impact of Suresh Kumar'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 Suresh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suresh Kumar more than expected).
Fields of papers citing papers by Suresh Kumar
This network shows the impact of papers produced by Suresh Kumar. 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 Suresh Kumar. The network helps show where Suresh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Suresh Kumar, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Omicron and Delta variant of SARS‐CoV‐2: A comparative computational study of spike protein Hit paper breakdown → | 2021 | 404 |
| 2 | 2009 | 161 | |
| 3 | Omicron (BA.1) and sub‐variants (BA.1.1, BA.2, and BA.3) of SARS‐CoV‐2 spike infectivity and pathogenicity: A comparative sequence and structural‐based computational assessment Hit paper breakdown → | 2022 | 148 |
| 4 | 2016 | 95 | |
| 5 | 2023 | 73 | |
| 6 | 2009 | 64 | |
| 7 | 2015 | 59 | |
| 8 | 2022 | 49 | |
| 9 | 2017 | 48 | |
| 10 | 2021 | 46 | |
| 11 | 2011 | 44 | |
| 12 | 2017 | 41 | |
| 13 | 2010 | 41 | |
| 14 | 2017 | 39 | |
| 15 | 2024 | 39 | |
| 16 | 2019 | 38 | |
| 17 | 2023 | 37 | |
| 18 | 2017 | 35 | |
| 19 | 2011 | 35 | |
| 20 | 2021 | 32 |
About Suresh Kumar
Suresh Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Oncology and Epidemiology, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (8 papers), COVID-19 Clinical Research Studies (7 papers), Ubiquitin and proteasome pathways (6 papers), Genomics and Phylogenetic Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Infectious Diseases (525 citations), Molecular Medicine (103 citations), Applied Microbiology and Biotechnology (31 citations), Molecular Biology (820 citations) and Neurology (152 citations). Suresh Kumar has collaborated with scholars based in Malaysia, India and United States. Frequent co-authors include Kalimuthu Karuppanan, Gunasekaran Subramaniam, Winkins Santosh, Shiek S. S. J. Ahmed, Lihu Zhang, Xiaowei Xu, Hongyan Wu, David E. Sterner, Chin Siang Kue and Tauseef R. Butt. Their work appears in journals such as Journal of Medical Virology, Archives of Microbiology, Cancer, American Journal Of Pathology and Biology.
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.