Devleena Shivakumar
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Synthesis and biological activity
- Free Radicals and Antioxidants
Papers in
-
- Computational Drug Discovery Methods 5
- Virology 1
- HIV Research and Treatment 1
- Co-authors
- Woody ShermanWolfgang DammJoshua WilliamsYujie WuJohn C. ShelleyEdward HarderRichard A. FriesnerYuqing Deng
- Journals
- Journal of Chemical Information and Modeling (3 papers)Journal of Chemical Theory and Computation (3 papers)Antimicrobial Agents and Chemotherapy (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Devleena Shivakumar
8 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computational Theory and Mathematics 677
- Organic Chemistry 526
- Molecular Biology 1.2k
- Toxicology 38
- Pharmacology 96
Countries citing papers authored by Devleena Shivakumar
This map shows the geographic impact of Devleena Shivakumar'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 Devleena Shivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devleena Shivakumar more than expected).
Fields of papers citing papers by Devleena Shivakumar
This network shows the impact of papers produced by Devleena Shivakumar. 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 Devleena Shivakumar. The network helps show where Devleena Shivakumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Devleena Shivakumar, 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 | 2025 | 1 | |
| 2 | 2021 | 25 | |
| 3 | 2020 | 14 | |
| 4 | 2012 | 38 | |
| 5 | 2012 | 272 | |
| 6 | Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field Hit paper breakdown → | 2010 | 1497 |
| 7 | 2009 | 138 | |
| 8 | 2008 | 154 |
About Devleena Shivakumar
Devleena Shivakumar is a scholar working on Computational Theory and Mathematics, Virology, Molecular Biology, Atomic and Molecular Physics, and Optics and Infectious Diseases, having authored 8 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Biochemical and Molecular Research (1 paper), HIV Research and Treatment (1 paper), Machine Learning in Materials Science (1 paper), Free Radicals and Antioxidants (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Computational Theory and Mathematics (677 citations), Organic Chemistry (526 citations), Molecular Biology (1.2k citations), Toxicology (38 citations) and Pharmacology (96 citations). Devleena Shivakumar has collaborated with scholars based in United States and Canada. Frequent co-authors include Woody Sherman, Wolfgang Damm, Joshua Williams, Yujie Wu, John C. Shelley, Edward Harder, Richard A. Friesner, Yuqing Deng, Benoı̂t Roux and Brian K. Shoichet. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Antimicrobial Agents and Chemotherapy and Journal of Molecular 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.