Sudheer Kumar Katari
Impact in
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- Computational Drug Discovery Methods
Papers in
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- vaccines and immunoinformatics approaches 5
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- Computational Drug Discovery Methods 8
- Co-authors
- Amineni Umamaheswari (17 shared papers)Kanipakam Hema (3 shared papers)Ram Sanmukh Upadhyay (1 shared paper)Mukesh Meena (1 shared paper)Surendra Singh (1 shared paper)R.V. Omkumar (1 shared paper)Sarvesh Pratap Kashyap (1 shared paper)Manish Kumar Dubey (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)Viruses (2 papers)Microbial Pathogenesis (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)RSC Advances (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Sudheer Kumar Katari
26 papers receiving 390 citations
Peers
Comparison fields: 5 of 72
- Drug Discovery 1
- Computational Theory and Mathematics 84
- Biotechnology 35
- Toxicology 10
- Molecular Biology 180
Countries citing papers authored by Sudheer Kumar Katari
This map shows the geographic impact of Sudheer Kumar Katari'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 Sudheer Kumar Katari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudheer Kumar Katari more than expected).
Fields of papers citing papers by Sudheer Kumar Katari
This network shows the impact of papers produced by Sudheer Kumar Katari. 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 Sudheer Kumar Katari. The network helps show where Sudheer Kumar Katari may publish in the future.
Co-authors
The 25 scholars most cited alongside Sudheer Kumar Katari, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 97 | |
| 2 | 2016 | 54 | |
| 3 | 2002 | 45 | |
| 4 | 2021 | 36 | |
| 5 | 2018 | 22 | |
| 6 | 2002 | 17 | |
| 7 | 2020 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2015 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2019 | 7 | |
| 14 | Isolation and evaluation of diagnostic value of two major secreted proteins of Mycobacterium tuberculosis. | 2002 | 7 |
| 15 | 2019 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2023 | 3 |
About Sudheer Kumar Katari
Sudheer Kumar Katari is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Surgery and Plant Science, having authored 30 papers that have together received 393 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Tuberculosis Research and Epidemiology (5 papers), vaccines and immunoinformatics approaches (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Synthesis and biological activity (3 papers), Enzyme-mediated dye degradation (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Arsenic contamination and mitigation (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Computational Theory and Mathematics (84 citations), Biotechnology (35 citations), Toxicology (10 citations) and Molecular Biology (180 citations). Sudheer Kumar Katari has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Amineni Umamaheswari, Kanipakam Hema, Ram Sanmukh Upadhyay, Mukesh Meena, Surendra Singh, R.V. Omkumar, Sarvesh Pratap Kashyap, Manish Kumar Dubey, Mohd Aamir and Vinay Kumar Singh. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Viruses, Microbial Pathogenesis, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and RSC Advances.
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.