Subhra Datta
- Biomedical Engineering top 10%
- Computational Mechanics top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Physical and Theoretical Chemistry
- Co-authors
- Sandip GhosalA. T. ConliskShuvo RoyWilliam H. FissellNeelesh A. PatankarAvinash KumarDinesh KalyanasundaramMinami Yoda
- Topics
- Nanopore and Nanochannel Transport Studies (14 papers)Microfluidic and Capillary Electrophoresis Applications (14 papers)Microfluidic and Bio-sensing Technologies (7 papers)
- Journals
- Journal of Applied PhysicsJournal of Fluid MechanicsJournal of Colloid and Interface Science
- Partner nations
- IndiaUnited States
In The Last Decade
Subhra Datta
27 papers receiving 347 citations
Peers
Comparison fields: 5 of 63
- Biomedical Engineering 270
- Computational Mechanics 95
- Electrical and Electronic Engineering 58
- Mechanical Engineering 48
- Physical and Theoretical Chemistry 32
Countries citing papers authored by Subhra Datta
This map shows the geographic impact of Subhra Datta'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 Subhra Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhra Datta more than expected).
Fields of papers citing papers by Subhra Datta
This network shows the impact of papers produced by Subhra Datta. 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 Subhra Datta. The network helps show where Subhra Datta may publish in the future.
Co-authorship network of co-authors of Subhra Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Subhra Datta. A scholar is included among the top collaborators of Subhra Datta 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 Subhra Datta. Subhra Datta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 34 | |
| 13 | 19 | |
| 14 | 25 | |
| 15 | 54 | |
| 16 | 28 | |
| 17 | 33 | |
| 18 | 42 | |
| 19 | 1 | |
| 20 | 3 |
About Subhra Datta
Subhra Datta is a scholar working on Computational Mechanics, Biomedical Engineering and Physical and Theoretical Chemistry, having authored 28 papers that have together received 362 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (14 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers) and Microfluidic and Bio-sensing Technologies (7 papers). The work is most often cited by research in Biomedical Engineering (270 citations), Computational Mechanics (95 citations) and Physical and Theoretical Chemistry (32 citations). Subhra Datta has collaborated with scholars based in India and United States. Frequent co-authors include Sandip Ghosal, A. T. Conlisk, Shuvo Roy, William H. Fissell, Neelesh A. Patankar, Avinash Kumar, Dinesh Kalyanasundaram, Minami Yoda, G. Vijaya Prakash and Dharmesh M. Kanani. Their work appears in journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Journal of Colloid and Interface Science.
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.