Sudipto Mukherjee
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 6
- Molecular Biology top 5%
- Protein Structure and Dynamics 8
- DNA and Nucleic Acid Chemistry 3
- Chemical Synthesis and Analysis 2
- Receptor Mechanisms and Signaling 2
- Virology top 10%
- HIV Research and Treatment 3
- Pharmacology top 10%
- Organic Chemistry top 10%
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- Enzyme Structure and Function 3
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- Distributed Control Multi-Agent Systems 2
- Co-authors
- Robert C. RizzoTrent E. BaliusScott R. BrozellDavid A. CaseP. Therese LangIrwin D. KuntzWilliam J. AllenThomas Leroy James
- Journals
- Journal of Computational Chemistry (3 papers)Scientific Reports (2 papers)Information Sciences (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Sudipto Mukherjee
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Computational Theory and Mathematics 722
- Molecular Biology 1.3k
- Virology 56
- Pharmacology 148
- Organic Chemistry 250
Countries citing papers authored by Sudipto Mukherjee
This map shows the geographic impact of Sudipto 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 Sudipto Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudipto Mukherjee more than expected).
Fields of papers citing papers by Sudipto Mukherjee
This network shows the impact of papers produced by Sudipto 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 Sudipto Mukherjee. The network helps show where Sudipto Mukherjee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sudipto Mukherjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2021 | 1 | |
| 3 | C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation | 2020 | 1 |
| 4 | 2020 | 59 | |
| 5 | 2017 | 25 | |
| 6 | 2017 | 16 | |
| 7 | 2017 | 61 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 18 | |
| 11 | 2015 | 23 | |
| 12 | 2015 | 38 | |
| 13 | 2014 | 22 | |
| 14 | 2013 | 25 | |
| 15 | 2012 | 130 | |
| 16 | 2011 | 54 | |
| 17 | 2010 | 176 | |
| 18 | DOCK 6: Combining techniques to model RNA–small molecule complexesbreakdown → | 2009 | 603 |
| 19 | Voice over IP Fundamentals (2nd Edition) (Fundamentals) | 2006 | 7 |
| 20 | 1958 | 5 |
About Sudipto Mukherjee
Sudipto Mukherjee is a scholar working on Virology, Computational Theory and Mathematics and Molecular Biology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers), HIV Research and Treatment (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Enzyme Structure and Function (3 papers), Chemical Synthesis and Analysis (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (722 citations), Molecular Biology (1.3k citations) and Virology (56 citations). Sudipto Mukherjee has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Robert C. Rizzo, Trent E. Balius, Scott R. Brozell, David A. Case, P. Therese Lang, Irwin D. Kuntz, William J. Allen, Thomas Leroy James, Elaine C. Meng and Eric F. Pettersen. Their work appears in journals such as Journal of Computational Chemistry, Scientific Reports, Information Sciences, Journal of the American Chemical Society and BMC Bioinformatics.
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.