Souhrid Mukherjee
- Molecular Biology
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Biomaterials
- Computational Theory and Mathematics top 10%
- Co-authors
- Joseph C. WuJeremy LeitzRabindra V. ShivnaraineJames ZouKyle SwansonRamanathan SowdhaminiJames A. SpudichJohn A. Mercer
- Topics
- Genomics and Rare Diseases (2 papers)Cardiac Fibrosis and Remodeling (2 papers)Viral Infections and Immunology Research (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Souhrid Mukherjee
9 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 163
- Biomedical Engineering 102
- Cardiology and Cardiovascular Medicine 83
- Biomaterials 48
- Computational Theory and Mathematics 43
Countries citing papers authored by Souhrid Mukherjee
This map shows the geographic impact of Souhrid 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 Souhrid Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Souhrid Mukherjee more than expected).
Fields of papers citing papers by Souhrid Mukherjee
This network shows the impact of papers produced by Souhrid 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 Souhrid Mukherjee. The network helps show where Souhrid Mukherjee may publish in the future.
Co-authorship network of co-authors of Souhrid Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Souhrid Mukherjee. A scholar is included among the top collaborators of Souhrid 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 Souhrid Mukherjee. Souhrid 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 | 0 | |
| 2 | ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical librariesbreakdown → | 88 |
| 3 | 25 | |
| 4 | FDA Modernization Act 2.0: transitioning beyond animal models with human cells, organoids, and AI/ML-based approachesbreakdown → | 132 |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 30 | |
| 8 | 34 | |
| 9 | 49 | |
| 10 | 41 |
About Souhrid Mukherjee
Souhrid Mukherjee is a scholar working on Urology, Small Animals and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 422 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Biomaterials (48 citations), Cardiology and Cardiovascular Medicine (83 citations) and Computational Theory and Mathematics (43 citations). Souhrid Mukherjee has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Joseph C. Wu, Jeremy Leitz, Rabindra V. Shivnaraine, James Zou, Kyle Swanson, Ramanathan Sowdhamini, James A. Spudich, John A. Mercer, Margaret S. Sunitha and John A. Phillips. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.