Ganesan Srinivasan

19 total papers · 865 total citations
18 papers, 756 citations indexed

About

Ganesan Srinivasan is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ganesan Srinivasan has authored 18 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Oncology. Recurrent topics in Ganesan Srinivasan's work include Estrogen and related hormone effects (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Steroid Chemistry and Biochemistry (3 papers). Ganesan Srinivasan is often cited by papers focused on Estrogen and related hormone effects (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Steroid Chemistry and Biochemistry (3 papers). Ganesan Srinivasan collaborates with scholars based in United States, France and Japan. Ganesan Srinivasan's co-authors include E. Brad Thompson, Ilia V. Baskakov, D. Wayne Bolen, Praveen Kumar, Yanshan Ji, Bert W. O’Malley, Sophia Y. Tsai, George F. Allan, Ming‐Jer Tsai and J. Ching Lee and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Oncogene.

In The Last Decade

Ganesan Srinivasan

18 papers receiving 743 citations

Author Peers

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

Author Last Decade Papers Cites
Ganesan Srinivasan 522 296 98 84 84 18 756
W. J. Pledger 564 1.1× 116 0.4× 106 1.1× 74 0.9× 62 0.7× 26 831
Shagufta H. Khan 376 0.7× 286 1.0× 67 0.7× 95 1.1× 36 0.4× 19 670
Dennis M. DiSorbo 429 0.8× 165 0.6× 99 1.0× 83 1.0× 56 0.7× 22 703
Hing-Yat Peter Lam 305 0.6× 211 0.7× 72 0.7× 124 1.5× 77 0.9× 18 641
G.A. Puca 446 0.9× 403 1.4× 116 1.2× 71 0.8× 47 0.6× 23 846
Kristopher Kuchenbecker 715 1.4× 135 0.5× 40 0.4× 92 1.1× 72 0.9× 15 894
J. C. Gesquière 523 1.0× 183 0.6× 157 1.6× 74 0.9× 64 0.8× 18 816
Guillemette Chevalier 431 0.8× 181 0.6× 51 0.5× 173 2.1× 79 0.9× 18 846
Jeffrey D. Bray 437 0.8× 224 0.8× 71 0.7× 140 1.7× 56 0.7× 20 881
Anette Wärnmark 449 0.9× 455 1.5× 89 0.9× 97 1.2× 32 0.4× 11 743

Countries citing papers authored by Ganesan Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Ganesan Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesan Srinivasan. A scholar is included among the top collaborators of Ganesan Srinivasan 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 Ganesan Srinivasan. Ganesan Srinivasan 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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