Ramkumar Rajamani

1.2k citations
24 papers · 660 · h-index 13

Impact in

Papers in

Ramkumar Rajamani

24 papers receiving 644 citations

Peers

Ramkumar Rajamani
Comparison fields: 5 of 75
  • Computational Theory and Mathematics 186
  • Cellular and Molecular Neuroscience 163
  • Molecular Biology 446
  • Pharmacology 90
  • Cardiology and Cardiovascular Medicine 82
Replace L. Michel Espinoza‐Fonseca with:
L. Michel Espinoza‐Fonseca United States
Ying‐Chieh Sun Taiwan
Bryan VanSchouwen Canada
Jan M. Kriegl Germany
Dimitrios Galanakis United Kingdom
Michael P. Mazanetz United Kingdom
Constantinos Potamitis Greece
Nilkanth Patel United States
Swetlana Dracheva United States
Tadao Shibanuma Japan
Ramkumar Rajamani relative to L. Michel Espinoza‐Fonseca United States L. Michel Espinoza‐Fonseca's profile →
Citations per field
00.5×1.7×
L. Michel Espinoza‐Fonseca · 1×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200378
2 200176
3 200564
4
Ranking poses in structure-based lead discovery and optimization: current trends in scoring function development.
200763
5 200459
6 200345
7 200744
8 201043
9 200542
10 201622
11 200519
12 201614
13 200914
14 201711
15 200411
16 20169
17 20048
18 20178
19 20186
20 20116

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 24 papers that have together received 660 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Alzheimer's disease research and treatments (6 papers), Protein Structure and Dynamics (5 papers), Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Hepatitis C virus research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Computational Theory and Mathematics (186 citations), Cellular and Molecular Neuroscience (163 citations), Molecular Biology (446 citations), Pharmacology (90 citations) and Cardiology and Cardiovascular Medicine (82 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, Lan Cheng, Krista Kinard, 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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