Manne Munikumar
Impact in
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- Computational Drug Discovery Methods
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Computational Drug Discovery Methods 7
- Co-authors
- Amineni Umamaheswari (9 shared papers)Seshadri Reddy Varikasuvu (7 shared papers)Dibyabhaba Pradhan (9 shared papers)Hemalatha Rajkumar (2 shared papers)Giridhar Goudar (3 shared papers)Aparna Rajeshwar Rao Bitla (1 shared paper)Paresh Prahlad Kulkarni (1 shared paper)Naveen Dutt (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (7 papers)Bioscience Reports (1 paper)Antioxidants (1 paper)Biomolecules (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesVietnam
In The Last Decade
Manne Munikumar
36 papers receiving 572 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 135
- Infectious Diseases 121
- Pharmacology 44
- Complementary and alternative medicine 35
- Biochemistry 22
Countries citing papers authored by Manne Munikumar
This map shows the geographic impact of Manne Munikumar'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 Manne Munikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manne Munikumar more than expected).
Fields of papers citing papers by Manne Munikumar
This network shows the impact of papers produced by Manne Munikumar. 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 Manne Munikumar. The network helps show where Manne Munikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Manne Munikumar, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2020 | 62 | |
| 3 | 2021 | 47 | |
| 4 | 2013 | 46 | |
| 5 | 2021 | 42 | |
| 6 | 2017 | 36 | |
| 7 | 2011 | 28 | |
| 8 | 2013 | 27 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2013 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2016 | 9 |
About Manne Munikumar
Manne Munikumar is a scholar working on Computational Theory and Mathematics, Small Animals, Infectious Diseases, Molecular Biology and Pharmacology, having authored 38 papers that have together received 588 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), Computational Drug Discovery Methods (7 papers), RNA and protein synthesis mechanisms (4 papers), Pneumonia and Respiratory Infections (4 papers), Protein Structure and Dynamics (3 papers), COVID-19 Clinical Research Studies (2 papers), Biochemical and Molecular Research (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (135 citations), Infectious Diseases (121 citations), Pharmacology (44 citations), Complementary and alternative medicine (35 citations) and Biochemistry (22 citations). Manne Munikumar has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include Amineni Umamaheswari, Seshadri Reddy Varikasuvu, Dibyabhaba Pradhan, Hemalatha Rajkumar, Giridhar Goudar, Aparna Rajeshwar Rao Bitla, Paresh Prahlad Kulkarni, Naveen Dutt, Saurabh Varshney and Pratima Gupta. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioscience Reports, Antioxidants, Biomolecules and Scientific Reports.
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.