Devadasan Velmurugan

72 papers receiving 1.1k citations

Peers

Devadasan Velmurugan
Comparison fields: 5 of 107
  • Virology 88
  • Molecular Medicine 78
  • Computational Theory and Mathematics 185
  • Toxicology 28
  • Molecular Biology 555
Replace Edeildo Ferreira da Silva‐Júnior with:
Edeildo Ferreira da Silva‐Júnior Brazil
Éric Arnoult United States
Alessandro Schipani United Kingdom
Jieling Zhao United States
Shailima Rampogu South Korea
Barij Nayan Sinha India
Patchreenart Saparpakorn Thailand
Mario S. Valdés‐Tresanco Colombia
Yuan-Ling Xia China
Mario E. Valdés‐Tresanco Cuba
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Citations per field
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Citations per year

Countries citing papers authored by Devadasan Velmurugan

Since Specialization
Citations

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

Fields of papers citing papers by Devadasan Velmurugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 201759
3 201455
4 200945
5 200840
6 201639
7 201136
8 201436
9 201533
10 201432
11 201628
12 201424
13 201824
14 202322
15 201622
16 201020
17 201120
18 201719
19 201118
20 202018

About Devadasan Velmurugan

Devadasan Velmurugan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Pharmacology, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Protein Structure and Dynamics (9 papers), Venomous Animal Envenomation and Studies (9 papers), Synthesis and biological activity (7 papers), Metal complexes synthesis and properties (7 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers), Tuberculosis Research and Epidemiology (5 papers) and Rabies epidemiology and control (5 papers). The work is most often cited by research in Virology (88 citations), Molecular Medicine (78 citations), Computational Theory and Mathematics (185 citations), Toxicology (28 citations) and Molecular Biology (555 citations). Devadasan Velmurugan has collaborated with scholars based in India, Japan and United States. Frequent co-authors include M. Michael Gromiha, Aparna Vasudevan, Waheeta Hopper, Dinesh Kumar Kesavan, S. Anusuya, Vijayakumar Balakrishnan, C. V. Ramakrishnan, Singaravelu Ganesan, Shanmugavel Chinnathambi and R. Manjunatha Kini. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Current Topics in Medicinal Chemistry, Journal of Biochemical and Molecular Toxicology, International Journal of Biological Macromolecules and Proteins Structure Function and Bioinformatics.

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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