T.M. Subrahmanya
- Water Science and Technology top 5%
- Biomedical Engineering
- Materials Chemistry
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- Wei‐Song HungJanuar WidakdoHannah Faye M. AustriaJuin‐Yih LaiChien‐Chieh HuKueir‐Rarn LeePo Ting LinChih‐Feng Wang
- Topics
- Membrane Separation Technologies (17 papers)Graphene research and applications (11 papers)Membrane Separation and Gas Transport (7 papers)
In The Last Decade
T.M. Subrahmanya
24 papers receiving 556 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Water Science and Technology 293
- Biomedical Engineering 251
- Materials Chemistry 186
- Electrical and Electronic Engineering 124
- Mechanical Engineering 107
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-authorship network of co-authors of T.M. Subrahmanya
This figure shows the co-authorship network connecting the top 25 collaborators of T.M. Subrahmanya. A scholar is included among the top collaborators of T.M. Subrahmanya 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 T.M. Subrahmanya. T.M. Subrahmanya 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 | 0 | |
| 3 | Carbon quantum dots: Classification-structure-property-application relationship for biomedical and environment remediationbreakdown → | 23 |
| 4 | 6 | |
| 5 | 28 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 15 | |
| 14 | 22 | |
| 15 | 23 | |
| 16 | 115 | |
| 17 | 47 | |
| 18 | 46 | |
| 19 | 20 | |
| 20 | 18 |
About T.M. Subrahmanya
T.M. Subrahmanya is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment and Energy Engineering and Power Technology, having authored 25 papers that have together received 564 indexed citations. Recurring topics across this work include Membrane Separation Technologies (17 papers), Graphene research and applications (11 papers) and Membrane Separation and Gas Transport (7 papers). The work is most often cited by research in Water Science and Technology (293 citations), Biomaterials (106 citations) and Renewable Energy, Sustainability and the Environment (96 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 Advanced Functional Materials, Journal of Cleaner Production and Coordination Chemistry Reviews.
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.