Sach Mukherjee

45 papers and 817 indexed citations i.

About

Sach Mukherjee is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Sach Mukherjee has authored 45 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Artificial Intelligence and 11 papers in Statistics and Probability. Recurrent topics in Sach Mukherjee’s work include Bioinformatics and Genomic Networks (18 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (13 papers). Sach Mukherjee is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (13 papers). Sach Mukherjee collaborates with scholars based in United Kingdom, Germany and United States. Sach Mukherjee's co-authors include Terence P. Speed, Chris J. Oates, Steven M. Hill, Joe W. Gray, Frank Dondelinger, Wolfgang Schröder, Nicolas Städler, Yiling Lu, Paul T. Spellman and Gordon B. Mills and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Sach Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sach Mukherjee

Since Specialization
Citations

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