Ramkumar Rajamani

25 papers receiving 684 citations

Peers

Ramkumar Rajamani
Comparison fields: 5 of 72
  • Computational Theory and Mathematics 201
  • Cellular and Molecular Neuroscience 166
  • Molecular Biology 466
  • Pharmacology 91
  • Cardiology and Cardiovascular Medicine 85
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Bryan VanSchouwen Canada
Nilkanth Patel United States
Jan M. Kriegl Germany
Dimitrios Galanakis United States
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Citations per year

Countries citing papers authored by Ramkumar Rajamani

Since Specialization
Citations

This map shows the geographic impact of Ramkumar Rajamani'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 Ramkumar Rajamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramkumar Rajamani more than expected).

Fields of papers citing papers by Ramkumar Rajamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramkumar Rajamani. 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 Ramkumar Rajamani. The network helps show where Ramkumar Rajamani may publish in the future.

Co-authors

The 25 scholars most cited alongside Ramkumar Rajamani, 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 Ramkumar Rajamani Line = papers co-authored together Ramkumar Rajamani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200383
2 200180
3
Ranking poses in structure-based lead discovery and optimization: current trends in scoring function development.
200770
4 200569
5 200465
6 200350
7 200747
8 201044
9 200543
10 201625
11 200522
12 200914
13 201614
14 200413
15 201612
16 201711
17 20048
18 20178
19 20117
20 20186

About Ramkumar Rajamani

Ramkumar Rajamani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Physiology and Infectious Diseases, having authored 25 papers that have together received 711 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Protein Structure and Dynamics (5 papers), Ion channel regulation and function (5 papers), HIV/AIDS drug development and treatment (4 papers), Hepatitis C virus research (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Computational Theory and Mathematics (201 citations), Cellular and Molecular Neuroscience (166 citations), Molecular Biology (466 citations), Pharmacology (91 citations) and Cardiology and Cardiovascular Medicine (85 citations). Ramkumar Rajamani has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Jiali Gao, Charles H. Reynolds, Andrew C. Good, Brett A. Tounge, Jian Li, Kevin J. Naidoo, Krista Kinard, Lan Cheng, Michael C. Sanguinetti and Yan Zhang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Computational Chemistry, Journal of the American Chemical Society, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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