S. Pandya
- Molecular Biology top 10%
- Genetics top 5%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology top 10%
- Co-authors
- Richard T. MoxleyRobert C. GriggsJulaine FlorenceMichael H. BrookeJeanine SchierbeckerJerry R. MendellWendy KingJ. Philip Miller
- Topics
- Muscle Physiology and Disorders (10 papers)Neurogenetic and Muscular Disorders Research (3 papers)Exercise and Physiological Responses (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
S. Pandya
17 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.1k
- Genetics 312
- Biomedical Engineering 269
- Cellular and Molecular Neuroscience 242
- Physiology 237
Countries citing papers authored by S. Pandya
This map shows the geographic impact of S. Pandya'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. Pandya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Pandya more than expected).
Fields of papers citing papers by S. Pandya
This network shows the impact of papers produced by S. Pandya. 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. Pandya. The network helps show where S. Pandya may publish in the future.
Co-authorship network of co-authors of S. Pandya
This figure shows the co-authorship network connecting the top 25 collaborators of S. Pandya. A scholar is included among the top collaborators of S. Pandya 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. Pandya. S. Pandya 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 | 1 | |
| 3 | Prevalence of Duchenne/Becker muscular dystrophy among males aged 5-24 years–Four states, 2007 | 88 |
| 4 | 1 | |
| 5 | 107 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Practice parameter: Corticosteroid treatment of Duchenne dystrophy - Report of the Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society | 14 |
| 9 | 0 | |
| 10 | 207 | |
| 11 | 187 | |
| 12 | 57 | |
| 13 | 91 | |
| 14 | 191 | |
| 15 | 66 | |
| 16 | 373 | |
| 17 | 254 | |
| 18 | Treatment of myopathic carnitine deficiency: quantitation of response to prednisone and carnitine. | 4 |
| 19 | 84 |
About S. Pandya
S. Pandya is a scholar working on Rehabilitation, Genetics and Psychiatry and Mental health, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Genetics (312 citations), Rehabilitation (161 citations) and Molecular Biology (1.1k citations). S. Pandya has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard T. Moxley, Robert C. Griggs, Julaine Florence, Michael H. Brooke, Jeanine Schierbecker, Jerry R. Mendell, Wendy King, J. Philip Miller, L. Signore and Gerald M. Fenichel. Their work appears in journals such as New England Journal of Medicine, Neurology 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.