Sayan Mukherjee

126 papers and 39.7k indexed citations i.

About

Sayan Mukherjee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Sayan Mukherjee has authored 126 papers receiving a total of 39.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 25 papers in Artificial Intelligence. Recurrent topics in Sayan Mukherjee’s work include Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (19 papers) and Topological and Geometric Data Analysis (19 papers). Sayan Mukherjee is often cited by papers focused on Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (19 papers) and Topological and Geometric Data Analysis (19 papers). Sayan Mukherjee collaborates with scholars based in United States, Germany and Italy. Sayan Mukherjee's co-authors include Jill P. Mesirov, Todd R. Golub, Pablo Tamayo, Eric S. Lander, Aravind Subramanian, Michael A. Gillette, Benjamin L. Ebert, Scott L. Pomeroy, Vamsi K. Mootha and Amanda G. Paulovich and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Sayan Mukherjee i

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.

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).

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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2025