T.M. Subrahmanya
Impact in
- Water Science and Technology top 5%
- Membrane Separation Technologies
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Membrane Separation Technologies 18
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- Graphene research and applications 11
- Co-authors
- Wei‐Song Hung (20 shared papers)Januar Widakdo (14 shared papers)Hannah Faye M. Austria (18 shared papers)Juin‐Yih Lai (16 shared papers)Chien‐Chieh Hu (17 shared papers)Kueir‐Rarn Lee (15 shared papers)Po Ting Lin (3 shared papers)Chih‐Feng Wang (8 shared papers)
In The Last Decade
T.M. Subrahmanya
24 papers receiving 626 citations
Peers
Comparison fields: 5 of 57
- Water Science and Technology 317
- Biomaterials 113
- Renewable Energy, Sustainability and the Environment 105
- Biomedical Engineering 265
- Materials Chemistry 195
Countries citing papers authored by T.M. Subrahmanya
This map shows the geographic impact of T.M. Subrahmanya'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 T.M. Subrahmanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.M. Subrahmanya more than expected).
Fields of papers citing papers by T.M. Subrahmanya
This network shows the impact of papers produced by T.M. Subrahmanya. 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 T.M. Subrahmanya. The network helps show where T.M. Subrahmanya may publish in the future.
Co-authors
The 25 scholars most cited alongside T.M. Subrahmanya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 124 | |
| 2 | 2022 | 62 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 50 | |
| 5 | 2024 | 36 | |
| 6 | 2025 | 31 | |
| 7 | 2023 | 29 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2024 | 21 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2023 | 18 | |
| 15 | 2022 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2024 | 17 | |
| 18 | 2019 | 13 | |
| 19 | 2024 | 10 | |
| 20 | 2025 | 9 |
About T.M. Subrahmanya
T.M. Subrahmanya is a scholar working on Water Science and Technology, Materials Chemistry, Biomedical Engineering, Mechanical Engineering and Renewable Energy, Sustainability and the Environment, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include Membrane Separation Technologies (18 papers), Graphene research and applications (11 papers), Membrane Separation and Gas Transport (7 papers), Graphene and Nanomaterials Applications (6 papers), Solar-Powered Water Purification Methods (5 papers), Membrane-based Ion Separation Techniques (4 papers), Fuel Cells and Related Materials (3 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Water Science and Technology (317 citations), Biomaterials (113 citations), Renewable Energy, Sustainability and the Environment (105 citations), Biomedical Engineering (265 citations) and Materials Chemistry (195 citations). T.M. Subrahmanya has collaborated with scholars based in Taiwan, Indonesia and India. Frequent co-authors include Wei‐Song Hung, Januar Widakdo, Hannah Faye M. Austria, Juin‐Yih Lai, Chien‐Chieh Hu, Kueir‐Rarn Lee, Po Ting Lin, Chih‐Feng Wang, Owen Setiawan and Yu‐Hsuan Chiao. Their work appears in journals such as Chemical Engineering Journal, Separation and Purification Technology, Journal of Materials Chemistry A, Carbon and Desalination.
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.