Devleena Shivakumar

9 papers receiving 2.2k citations

Devleena Shivakumar's Hit Papers

Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field 2010 · 1.6k citations
1.6k0+5+10Years since publication50010001.5k

Peers

Devleena Shivakumar
Comparison fields: 5 of 125
  • Computational Theory and Mathematics 661
  • Organic Chemistry 522
  • Molecular Biology 1.2k
  • Toxicology 37
  • Physical and Theoretical Chemistry 96
Replace Joseph W. Kaus with:
Joseph W. Kaus United States
Dmitry Lupyan United States
Paul Labute Canada
Chaya S. Rapp United States
Alan Sousa da Silva United Kingdom
P. Therese Lang United States
Joshua Williams United States
Yixiang Cao United States
Paul D. Lyne United States
Zoe Cournia Greece
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Citations per field
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Citations per year

Countries citing papers authored by Devleena Shivakumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Devleena Shivakumar Line = papers co-authored together Devleena Shivakumar links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field
Hit paper breakdown →
20101552
2 2012286
3 2008156
4 2009143
5 201240
6 202126
7 201616
8 202016
9 20253

About Devleena Shivakumar

Devleena Shivakumar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Materials Chemistry and Infectious Diseases, having authored 9 papers that have together received 2.2k 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), Trypanosoma species research and implications (1 paper), Prostate Cancer Treatment and Research (1 paper), Enzyme Structure and Function (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (661 citations), Organic Chemistry (522 citations), Molecular Biology (1.2k citations), Toxicology (37 citations) and Physical and Theoretical Chemistry (96 citations). Devleena Shivakumar has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Woody Sherman, Wolfgang Damm, John C. Shelley, Joshua Williams, Yujie Wu, Edward Harder, Richard A. Friesner, Yuqing Deng, Benoı̂t Roux and Matthew P. Jacobson. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling, Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry Letters 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.

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