Sudhakar Subramaniam
- Neurology top 1%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 2%
- Physiology top 5%
- Co-authors
- Marie‐Françoise ChesseletHoward J. FederoffIddo MagenFranziska RichterChunni ZhuMelanie B. WatsonElizabeth EllisElizabeth M. Ellis
- Topics
- Parkinson's Disease Mechanisms and Treatments (8 papers)Genomics, phytochemicals, and oxidative stress (3 papers)Glioma Diagnosis and Treatment (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Sudhakar Subramaniam
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Neurology 798
- Molecular Biology 570
- Cellular and Molecular Neuroscience 477
- Neurology 422
- Physiology 377
Countries citing papers authored by Sudhakar Subramaniam
This map shows the geographic impact of Sudhakar Subramaniam'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 Sudhakar Subramaniam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhakar Subramaniam more than expected).
Fields of papers citing papers by Sudhakar Subramaniam
This network shows the impact of papers produced by Sudhakar Subramaniam. 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 Sudhakar Subramaniam. The network helps show where Sudhakar Subramaniam may publish in the future.
Co-authorship network of co-authors of Sudhakar Subramaniam
This figure shows the co-authorship network connecting the top 25 collaborators of Sudhakar Subramaniam. A scholar is included among the top collaborators of Sudhakar Subramaniam 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 Sudhakar Subramaniam. Sudhakar Subramaniam 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 | 7 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 28 | |
| 9 | 48 | |
| 10 | 266 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 93 | |
| 14 | Mitochondrial dysfunction and oxidative stress in Parkinson's diseasebreakdown → | 689 |
| 15 | 93 | |
| 16 | 76 | |
| 17 | 260 | |
| 18 | 4 | |
| 19 | 48 |
About Sudhakar Subramaniam
Sudhakar Subramaniam is a scholar working on Neurology, Anesthesiology and Pain Medicine and Toxicology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (798 citations), Neurology (422 citations) and Cellular and Molecular Neuroscience (477 citations). Sudhakar Subramaniam has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Marie‐Françoise Chesselet, Howard J. Federoff, Iddo Magen, Franziska Richter, Chunni Zhu, Melanie B. Watson, Elizabeth Ellis, Elizabeth M. Ellis, Nicholas R. Franich and Karen Reue. Their work appears in journals such as Progress in Neurobiology, Toxicology and Applied Pharmacology and Neurobiology of Disease.
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.