S. H. Subramony
- Molecular Biology
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Physiology
- Co-authors
- Laura P.W. RanumTammy ReidMónica Báñez-CoronelTao ZuJuan C. TroncosoTimothy M. MillerJada LewisYuanjing Liu
- Topics
- Genetic Neurodegenerative Diseases (22 papers)Mitochondrial Function and Pathology (14 papers)Neurological disorders and treatments (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaJapan
In The Last Decade
S. H. Subramony
28 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Molecular Biology 647
- Neurology 574
- Cellular and Molecular Neuroscience 469
- Genetics 268
- Physiology 100
Countries citing papers authored by S. H. Subramony
This map shows the geographic impact of S. H. Subramony'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 S. H. Subramony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. H. Subramony more than expected).
Fields of papers citing papers by S. H. Subramony
This network shows the impact of papers produced by S. H. Subramony. 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 S. H. Subramony. The network helps show where S. H. Subramony may publish in the future.
Co-authorship network of co-authors of S. H. Subramony
This figure shows the co-authorship network connecting the top 25 collaborators of S. H. Subramony. A scholar is included among the top collaborators of S. H. Subramony 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 S. H. Subramony. S. H. Subramony 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 | 0 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 47 | |
| 10 | Perspectives from 22 Countries on the legal environment for selection | 1 |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 39 | |
| 14 | 18 | |
| 15 | 46 | |
| 16 | 23 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 7 |
About S. H. Subramony
S. H. Subramony is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (22 papers), Mitochondrial Function and Pathology (14 papers) and Neurological disorders and treatments (7 papers). The work is most often cited by research in Neurology (574 citations), Cellular and Molecular Neuroscience (469 citations) and Genetics (268 citations). S. H. Subramony has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Laura P.W. Ranum, Tammy Reid, Mónica Báñez-Coronel, Tao Zu, Juan C. Troncoso, Timothy M. Miller, Jada Lewis, Yuanjing Liu, Olga Pletniková and Jeffrey D. Rothstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.