Somdatta Sinha
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Ganesh BaglerS. ParthasarathyRam Rup SarkarSandip MandalNita ParekhAridaman PanditBrajendra K. SinghJoydev Chattopadhyay
- Topics
- Gene Regulatory Network Analysis (13 papers)Nonlinear Dynamics and Pattern Formation (13 papers)Protein Structure and Dynamics (10 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsPublic Health, Environmental and Occupational Health
- Partner nations
- IndiaNetherlandsAustralia
In The Last Decade
Somdatta Sinha
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 494
- Public Health, Environmental and Occupational Health 355
- Genetics 235
- Statistical and Nonlinear Physics 225
- Computer Networks and Communications 206
Countries citing papers authored by Somdatta Sinha
This map shows the geographic impact of Somdatta Sinha'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 Somdatta Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somdatta Sinha more than expected).
Fields of papers citing papers by Somdatta Sinha
This network shows the impact of papers produced by Somdatta Sinha. 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 Somdatta Sinha. The network helps show where Somdatta Sinha may publish in the future.
Co-authorship network of co-authors of Somdatta Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Somdatta Sinha. A scholar is included among the top collaborators of Somdatta Sinha 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 Somdatta Sinha. Somdatta Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 25 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 37 | |
| 8 | 253 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 71 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 39 | |
| 18 | 12 | |
| 19 | 18 | |
| 20 | 2 |
About Somdatta Sinha
Somdatta Sinha is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Modeling and Simulation (133 citations), Statistical and Nonlinear Physics (225 citations) and Public Health, Environmental and Occupational Health (355 citations). Somdatta Sinha has collaborated with scholars based in India, Netherlands and Australia. Frequent co-authors include Ganesh Bagler, S. Parthasarathy, Ram Rup Sarkar, Sandip Mandal, Nita Parekh, Aridaman Pandit, Brajendra K. Singh, Joydev Chattopadhyay, Ashutosh Srivastava and Ramakrishna Ramaswamy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and 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.