Aravindhan Ganesan

60 total papers · 1.4k total citations
41 papers, 915 citations indexed

About

Aravindhan Ganesan is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Aravindhan Ganesan has authored 41 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Aravindhan Ganesan's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Advanced Chemical Physics Studies (4 papers). Aravindhan Ganesan is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Advanced Chemical Physics Studies (4 papers). Aravindhan Ganesan collaborates with scholars based in Canada, Australia and India. Aravindhan Ganesan's co-authors include Khaled Barakat, Michelle L. Coote, Feng Wang, Subha Kalyaanamoorthy, Narges Mohammadi, Christopher T. Chantler, Marawan Ahmed, Tae Chul Moon, Isobel Okoye and Miguel R. Lugo and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Aravindhan Ganesan

39 papers receiving 898 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aravindhan Ganesan 429 216 203 103 86 41 915
Trung Hai Nguyen 539 1.3× 368 1.7× 173 0.9× 130 1.3× 90 1.0× 54 1.2k
Nidhi Singh 700 1.6× 182 0.8× 189 0.9× 125 1.2× 99 1.2× 50 1.2k
Ruxi Qi 772 1.8× 209 1.0× 158 0.8× 155 1.5× 104 1.2× 33 1.2k
Marta A. S. Perez 429 1.0× 135 0.6× 116 0.6× 70 0.7× 126 1.5× 27 910
Karen Sargsyan 426 1.0× 192 0.9× 136 0.7× 99 1.0× 61 0.7× 23 872
Martin Peters 626 1.5× 232 1.1× 234 1.2× 139 1.3× 112 1.3× 21 934
Suzanne Sirois 586 1.4× 255 1.2× 252 1.2× 92 0.9× 57 0.7× 23 1.1k
Ronald W. Sarver 699 1.6× 169 0.8× 129 0.6× 168 1.6× 77 0.9× 33 1.1k
R.J. Rosenfeld 480 1.1× 96 0.4× 123 0.6× 109 1.1× 55 0.6× 15 1.0k
Hakan Günaydin 517 1.2× 77 0.4× 265 1.3× 232 2.3× 106 1.2× 32 1.2k

Countries citing papers authored by Aravindhan Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Aravindhan Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aravindhan Ganesan

This figure shows the co-authorship network connecting the top 25 collaborators of Aravindhan Ganesan. A scholar is included among the top collaborators of Aravindhan Ganesan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aravindhan Ganesan. Aravindhan Ganesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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