Balaguru Ravikumar
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
Papers in
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- Computational Drug Discovery Methods 9
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- Bioinformatics and Genomic Networks 4
- vaccines and immunoinformatics approaches 1
- Co-authors
- Tero Aittokallio (6 shared papers)Anna Cichońska (4 shared papers)Krister Wennerberg (3 shared papers)Elina Parri (2 shared papers)Sanna Timonen (2 shared papers)Rayees Rahman (3 shared papers)Tapio Pahikkala (1 shared paper)Antti Airola (1 shared paper)
- Journals
- iScience (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)Cell chemical biology (1 paper)Expert Opinion on Drug Discovery (1 paper)
- Partner nations
- FinlandUnited StatesDenmark
In The Last Decade
Balaguru Ravikumar
9 papers receiving 262 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 175
- Molecular Biology 185
- Pharmacology 18
- Pharmacology 33
- Biophysics 10
Countries citing papers authored by Balaguru Ravikumar
This map shows the geographic impact of Balaguru Ravikumar'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 Balaguru Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balaguru Ravikumar more than expected).
Fields of papers citing papers by Balaguru Ravikumar
This network shows the impact of papers produced by Balaguru Ravikumar. 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 Balaguru Ravikumar. The network helps show where Balaguru Ravikumar may publish in the future.
Co-authors
The 22 scholars most cited alongside Balaguru Ravikumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2017 | 60 | |
| 3 | 2018 | 47 | |
| 4 | 2024 | 27 | |
| 5 | 2019 | 16 | |
| 6 | 2023 | 13 | |
| 7 | 2017 | 11 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 3 |
About Balaguru Ravikumar
Balaguru Ravikumar is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Biophysics and Pharmacology, having authored 9 papers that have together received 264 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Cell Image Analysis Techniques (2 papers), Biosimilars and Bioanalytical Methods (1 paper), Enzyme Structure and Function (1 paper), vaccines and immunoinformatics approaches (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (175 citations), Molecular Biology (185 citations), Pharmacology (18 citations), Pharmacology (33 citations) and Biophysics (10 citations). Balaguru Ravikumar has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include Tero Aittokallio, Anna Cichońska, Krister Wennerberg, Elina Parri, Sanna Timonen, Rayees Rahman, Tapio Pahikkala, Antti Airola, Juho Rousu and Alok Jaiswal. Their work appears in journals such as iScience, PLoS Computational Biology, Nature Communications, Cell chemical biology and Expert Opinion on Drug Discovery.
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.