Ritesh Sharma
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- vaccines and immunoinformatics approaches 8
- Machine Learning in Bioinformatics 7
- Biochemical and Structural Characterization 2
-
- Antimicrobial Peptides and Activities 4
- Co-authors
- Sanjay Kumar Singh (13 shared papers)Sameer Shrivastava (7 shared papers)Sonal Saxena (7 shared papers)Abhinav Kumar (6 shared papers)Raj Kumar Singh (3 shared papers)Shyam S. Pancholi (2 shared papers)Vishakha Singh (4 shared papers)Sumit Datta (3 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Acta Pharmaceutica (3 papers)IEEE Access (2 papers)Frontiers in Plant Science (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Ritesh Sharma
27 papers receiving 464 citations
Peers
Comparison fields: 5 of 107
- Microbiology 149
- Health Informatics 8
- Analytical Chemistry 54
- Molecular Biology 231
- Computational Theory and Mathematics 44
Countries citing papers authored by Ritesh Sharma
This map shows the geographic impact of Ritesh Sharma'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 Ritesh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritesh Sharma more than expected).
Fields of papers citing papers by Ritesh Sharma
This network shows the impact of papers produced by Ritesh Sharma. 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 Ritesh Sharma. The network helps show where Ritesh Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritesh Sharma, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2021 | 56 | |
| 3 | 2024 | 44 | |
| 4 | 2021 | 43 | |
| 5 | 2021 | 39 | |
| 6 | 2012 | 28 | |
| 7 | 2010 | 27 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2024 | 21 | |
| 11 | 2015 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 6 | |
| 18 | Efficacy of some novel insecticides against yellow stem borer, Scirpophaga Incertulas (Walker) in Basmati Rice | 2018 | 4 |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Ritesh Sharma
Ritesh Sharma is a scholar working on Molecular Biology, Microbiology, Computational Theory and Mathematics, Plant Science and Pharmacology, having authored 31 papers that have together received 484 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), Machine Learning in Bioinformatics (7 papers), Antimicrobial Peptides and Activities (4 papers), Computational Drug Discovery Methods (3 papers), Digital Transformation in Industry (2 papers), Machine Learning and Algorithms (2 papers), Biochemical and Structural Characterization (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Microbiology (149 citations), Health Informatics (8 citations), Analytical Chemistry (54 citations), Molecular Biology (231 citations) and Computational Theory and Mathematics (44 citations). Ritesh Sharma has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Sanjay Kumar Singh, Sameer Shrivastava, Sonal Saxena, Abhinav Kumar, Raj Kumar Singh, Shyam S. Pancholi, Vishakha Singh, Sumit Datta, Amit Kumar Singh and Manjusha Pandey. Their work appears in journals such as Briefings in Bioinformatics, IEEE Journal of Biomedical and Health Informatics, Acta Pharmaceutica, IEEE Access and Frontiers in Plant Science.
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.