Prasenjit Mukherjee

37 papers and 656 indexed citations i.

About

Prasenjit Mukherjee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Prasenjit Mukherjee has authored 37 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Prasenjit Mukherjee’s work include Computational Drug Discovery Methods (14 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Prasenjit Mukherjee is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Prasenjit Mukherjee collaborates with scholars based in United States, India and Switzerland. Prasenjit Mukherjee's co-authors include Ingo Muegge, Éric Martin, Mitchell A. Avery, Falgun Shah, Prashant Desai, Mitchell A. Avery, Babu L. Tekwani, David C. Sullivan, Johanna M. Jansen and Anupam Pradhan and has published in prestigious journals such as Journal of Medicinal Chemistry, Current Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

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

Fields of papers citing papers by Prasenjit Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prasenjit Mukherjee

Since Specialization
Citations

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