Thyagarajan Subramanian
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- Ray L. WattsChristopher A. LieuMahlon R. DeLongThomas WichmannPhilip A. StarrKala VenkiteswaranRoy A.E. BakayHagai Bergman
- Topics
- Neurological disorders and treatments (29 papers)Parkinson's Disease Mechanisms and Treatments (20 papers)Neuroscience and Neuropharmacology Research (13 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Thyagarajan Subramanian
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Neurology 860
- Cellular and Molecular Neuroscience 723
- Molecular Biology 250
- Cognitive Neuroscience 207
- Psychiatry and Mental health 142
Countries citing papers authored by Thyagarajan Subramanian
This map shows the geographic impact of Thyagarajan Subramanian'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 Thyagarajan Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thyagarajan Subramanian more than expected).
Fields of papers citing papers by Thyagarajan Subramanian
This network shows the impact of papers produced by Thyagarajan Subramanian. 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 Thyagarajan Subramanian. The network helps show where Thyagarajan Subramanian may publish in the future.
Co-authorship network of co-authors of Thyagarajan Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Thyagarajan Subramanian. A scholar is included among the top collaborators of Thyagarajan Subramanian 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 Thyagarajan Subramanian. Thyagarajan Subramanian 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 | 3 | |
| 3 | 19 | |
| 4 | 33 | |
| 5 | 55 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 95 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 19 | |
| 16 | 33 | |
| 17 | 78 | |
| 18 | 228 | |
| 19 | 26 | |
| 20 | 15 |
About Thyagarajan Subramanian
Thyagarajan Subramanian is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurological disorders and treatments (29 papers), Parkinson's Disease Mechanisms and Treatments (20 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Neurology (860 citations), Cellular and Molecular Neuroscience (723 citations) and Developmental Neuroscience (97 citations). Thyagarajan Subramanian has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ray L. Watts, Christopher A. Lieu, Mahlon R. DeLong, Thomas Wichmann, Philip A. Starr, Kala Venkiteswaran, Roy A.E. Bakay, Hagai Bergman, Michael L. Cornfeldt and Milind Deogaonkar. Their work appears in journals such as Brain, Journal of Medicinal Chemistry and Journal of neurosurgery.
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.