Subhabrata Sen
- Organic Chemistry top 2%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Santanu HatiD.B.P. HuynhAnthony T. PateraGianluigi RozzaMahesh Kumar RavvaRahul AgarwalChandramohan BathulaShailja Singh
- Topics
- Catalytic C–H Functionalization Methods (29 papers)Synthesis and Catalytic Reactions (19 papers)Cyclopropane Reaction Mechanisms (16 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionScientific Reports
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Subhabrata Sen
122 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Organic Chemistry 1.0k
- Molecular Biology 324
- Statistical and Nonlinear Physics 224
- Computational Mechanics 183
- Computational Theory and Mathematics 123
Countries citing papers authored by Subhabrata Sen
This map shows the geographic impact of Subhabrata Sen'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 Subhabrata Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhabrata Sen more than expected).
Fields of papers citing papers by Subhabrata Sen
This network shows the impact of papers produced by Subhabrata Sen. 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 Subhabrata Sen. The network helps show where Subhabrata Sen may publish in the future.
Co-authorship network of co-authors of Subhabrata Sen
This figure shows the co-authorship network connecting the top 25 collaborators of Subhabrata Sen. A scholar is included among the top collaborators of Subhabrata Sen 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 Subhabrata Sen. Subhabrata Sen 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 | 4 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 30 | |
| 15 | 15 | |
| 16 | 16 | |
| 17 | 38 | |
| 18 | 17 | |
| 19 | 14 | |
| 20 | Internet-scale visualization and detection of performance events | 1 |
About Subhabrata Sen
Subhabrata Sen is a scholar working on Organic Chemistry, Toxicology and Statistics and Probability, having authored 127 papers that have together received 1.8k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (29 papers), Synthesis and Catalytic Reactions (19 papers) and Cyclopropane Reaction Mechanisms (16 papers). The work is most often cited by research in Organic Chemistry (1.0k citations), Statistical and Nonlinear Physics (224 citations) and Toxicology (59 citations). Subhabrata Sen has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Santanu Hati, D.B.P. Huynh, Anthony T. Patera, Gianluigi Rozza, Mahesh Kumar Ravva, Rahul Agarwal, Chandramohan Bathula, Shailja Singh, Parthapratim Munshi and Ashutosh Singh. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Scientific Reports.
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.