Amit Kumar Ray
Impact in
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 9
- Glioma Diagnosis and Treatment 9
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- Epilepsy research and treatment 9
- Co-authors
- James X. Tao (3 shared papers)Susan Hawes‐Ebersole (3 shared papers)John S. Ebersole (3 shared papers)Jonathan A. Vafidis (2 shared papers)Yogendra Narain Singh (1 shared paper)Sanjay Kumar Singh (1 shared paper)Susan M. Bowyer (1 shared paper)Prakash Kotagal (1 shared paper)
- Journals
- Spinal Cord (2 papers)Expert Review of Neurotherapeutics (2 papers)Epilepsia (2 papers)Neuro-Oncology (2 papers)Neuropharmacology (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Amit Kumar Ray
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Psychiatry and Mental health 444
- Genetics 155
- Cognitive Neuroscience 315
- Endocrinology, Diabetes and Metabolism 121
- Neurology 89
Countries citing papers authored by Amit Kumar Ray
This map shows the geographic impact of Amit Kumar Ray'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 Amit Kumar Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar Ray more than expected).
Fields of papers citing papers by Amit Kumar Ray
This network shows the impact of papers produced by Amit Kumar Ray. 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 Amit Kumar Ray. The network helps show where Amit Kumar Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 347 | |
| 2 | 2004 | 105 | |
| 3 | 2004 | 103 | |
| 4 | 2017 | 98 | |
| 5 | 2006 | 96 | |
| 6 | 1997 | 81 | |
| 7 | 2012 | 81 | |
| 8 | 2007 | 65 | |
| 9 | 2002 | 48 | |
| 10 | 2010 | 41 | |
| 11 | 2005 | 40 | |
| 12 | 2003 | 37 | |
| 13 | 2010 | 32 | |
| 14 | 1998 | 31 | |
| 15 | Chronic exercise alters EEG power spectra in an animal model of depression. | 1996 | 28 |
| 16 | 2006 | 22 | |
| 17 | 2002 | 19 | |
| 18 | 2004 | 18 | |
| 19 | 2004 | 17 | |
| 20 | 2004 | 16 |
About Amit Kumar Ray
Amit Kumar Ray is a scholar working on Genetics, Psychiatry and Mental health, Surgery, Neurology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Epilepsy research and treatment (9 papers), Extracellular vesicles in disease (3 papers), Neuropeptides and Animal Physiology (3 papers), Facial Trauma and Fracture Management (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Intestinal Malrotation and Obstruction Disorders (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Psychiatry and Mental health (444 citations), Genetics (155 citations), Cognitive Neuroscience (315 citations), Endocrinology, Diabetes and Metabolism (121 citations) and Neurology (89 citations). Amit Kumar Ray has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include James X. Tao, Susan Hawes‐Ebersole, John S. Ebersole, Jonathan A. Vafidis, Yogendra Narain Singh, Sanjay Kumar Singh, Susan M. Bowyer, Prakash Kotagal, Wan Huang and Fred Nyberg. Their work appears in journals such as Spinal Cord, Expert Review of Neurotherapeutics, Epilepsia, Neuro-Oncology and Neuropharmacology.
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.