Sayan Mukherjee

276 total papers · 71.9k total citations
139 papers, 42.9k citations indexed

About

Sayan Mukherjee is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Sayan Mukherjee has authored 139 papers receiving a total of 42.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 30 papers in Artificial Intelligence and 28 papers in Computational Theory and Mathematics. Recurrent topics in Sayan Mukherjee's work include Gene expression and cancer classification (26 papers), Bioinformatics and Genomic Networks (22 papers) and Topological and Geometric Data Analysis (20 papers). Sayan Mukherjee is often cited by papers focused on Gene expression and cancer classification (26 papers), Bioinformatics and Genomic Networks (22 papers) and Topological and Geometric Data Analysis (20 papers). Sayan Mukherjee collaborates with scholars based in United States, Germany and Canada. Sayan Mukherjee's co-authors include Jill P. Mesirov, Todd R. Golub, Pablo Tamayo, Eric S. Lander, Aravind Subramanian, Vamsi K. Mootha, Scott L. Pomeroy, Michael A. Gillette, Amanda G. Paulovich and Benjamin L. Ebert and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sayan Mukherjee

134 papers receiving 42.2k citations

Hit Papers

Gene set enrichment analy... 2000 2026 2008 2017 2005 2002 2001 2000 10.0k 20.0k 30.0k

Author Peers

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

Author Last Decade Papers Cites
Sayan Mukherjee 25.1k 8.2k 6.2k 6.0k 5.7k 139 42.9k
Lars Juhl Jensen 49.3k 2.0× 8.1k 1.0× 5.4k 0.9× 6.1k 1.0× 5.7k 1.0× 239 74.6k
Trey Ideker 46.5k 1.9× 8.2k 1.0× 3.5k 0.6× 4.8k 0.8× 4.0k 0.7× 242 66.3k
Rafael A. Irizarry 38.7k 1.5× 8.0k 1.0× 4.7k 0.7× 5.2k 0.9× 3.9k 0.7× 190 56.8k
Christian von Mering 45.2k 1.8× 7.5k 0.9× 4.2k 0.7× 5.6k 0.9× 5.6k 1.0× 132 68.9k
Scott L. Pomeroy 27.7k 1.1× 9.8k 1.2× 6.7k 1.1× 6.3k 1.1× 6.2k 1.1× 117 44.1k
Pablo Tamayo 48.1k 1.9× 14.3k 1.7× 11.6k 1.9× 9.8k 1.6× 9.8k 1.7× 148 73.6k
Michael A. Gillette 25.7k 1.0× 8.3k 1.0× 6.5k 1.0× 6.1k 1.0× 6.1k 1.1× 45 40.0k
Atul J. Butte 15.8k 0.6× 4.1k 0.5× 3.4k 0.6× 3.6k 0.6× 3.3k 0.6× 336 28.9k
Gavin Sherlock 34.9k 1.4× 4.6k 0.6× 2.7k 0.4× 3.0k 0.5× 2.3k 0.4× 127 48.9k
Matt van de Rijn 23.4k 0.9× 16.4k 2.0× 19.3k 3.1× 4.8k 0.8× 9.8k 1.7× 253 50.4k

Countries citing papers authored by Sayan Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sayan Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayan Mukherjee

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