Sudipto Mukherjee
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 10%
- Materials Chemistry
- Oncology
- Co-authors
- Robert C. RizzoTrent E. BaliusScott R. BrozellDavid A. CaseP. Therese LangIrwin D. KuntzWilliam J. AllenThomas Leroy James
- Topics
- Protein Structure and Dynamics (8 papers)Computational Drug Discovery Methods (6 papers)HIV Research and Treatment (3 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchThe Journal of Physical Chemistry B
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Sudipto Mukherjee
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.3k
- Computational Theory and Mathematics 722
- Organic Chemistry 250
- Materials Chemistry 241
- Oncology 149
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 of co-authors of Sudipto Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Sudipto Mukherjee. A scholar is included among the top collaborators of Sudipto 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 Sudipto Mukherjee. Sudipto Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation | 1 |
| 4 | 59 | |
| 5 | 25 | |
| 6 | 16 | |
| 7 | 61 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | 38 | |
| 13 | 22 | |
| 14 | 25 | |
| 15 | 130 | |
| 16 | 54 | |
| 17 | 176 | |
| 18 | DOCK 6: Combining techniques to model RNA–small molecule complexesbreakdown → | 603 |
| 19 | Voice over IP Fundamentals (2nd Edition) (Fundamentals) | 7 |
| 20 | 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) and HIV Research and Treatment (3 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 the American Chemical Society, Nucleic Acids Research and The Journal of Physical Chemistry B.
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.