J.S. Chopra
- Neurology top 5%
- Physiology top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- L. J. HurwitzD. A. D. MontgomeryI. M. S. SawhneySudesh PrabhakarSing-Yung WuLeslie R. BennettDavid H. SolomonBaanie Sawhney
- Topics
- Metabolism and Genetic Disorders (5 papers)Neurological and metabolic disorders (5 papers)Adipose Tissue and Metabolism (4 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
J.S. Chopra
72 papers receiving 980 citations
Peers
Comparison fields: 5 of 107
- Neurology 277
- Physiology 220
- Surgery 179
- Endocrinology, Diabetes and Metabolism 168
- Pathology and Forensic Medicine 156
Countries citing papers authored by J.S. Chopra
This map shows the geographic impact of J.S. Chopra'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 J.S. Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.S. Chopra more than expected).
Fields of papers citing papers by J.S. Chopra
This network shows the impact of papers produced by J.S. Chopra. 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 J.S. Chopra. The network helps show where J.S. Chopra may publish in the future.
Co-authorship network of co-authors of J.S. Chopra
This figure shows the co-authorship network connecting the top 25 collaborators of J.S. Chopra. A scholar is included among the top collaborators of J.S. Chopra 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 J.S. Chopra. J.S. Chopra 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 | 1 | |
| 3 | 12 | |
| 4 | 23 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 29 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | Advances in neurology : proceedings of the XIVth World Congress of Neurology held in New Delhi, India, October 22-27 1989 | 1 |
| 11 | 1 | |
| 12 | Bronchial reflexes in patients with leprous and other peripheral neuropathies | 2 |
| 13 | 22 | |
| 14 | 9 | |
| 15 | 22 | |
| 16 | Brachial neuritis from mediastinal leiomyosarcoma. | 1 |
| 17 | Tuberculous meningitis (a clinico-pathological study). | 7 |
| 18 | Tuberculous meningitis (T.B.M.)(a clinical study of 232 cases). | 22 |
| 19 | 4 | |
| 20 | 8 |
About J.S. Chopra
J.S. Chopra is a scholar working on Microbiology, Neurology and Neurology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Neurological and metabolic disorders (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Neurology (277 citations), Endocrinology, Diabetes and Metabolism (168 citations) and Virology (44 citations). J.S. Chopra has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include L. J. Hurwitz, D. A. D. Montgomery, I. M. S. Sawhney, Sudesh Prabhakar, Sing-Yung Wu, Leslie R. Bennett, David H. Solomon, Baanie Sawhney, Upinder K. Dhand and S. R. Pal. Their work appears in journals such as The Lancet, Brain and The Journal of Clinical Endocrinology & Metabolism.
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.