Nisha Ravindran
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Treatment of Major Depression
Papers in
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- Treatment of Major Depression 4
- Musculoskeletal pain and rehabilitation 1
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- Optical Imaging and Spectroscopy Techniques 2
- Co-authors
- Arun Ravindran (5 shared papers)Lin Lü (2 shared papers)Mao‐Sheng Ran (1 shared paper)Jie Shi (1 shared paper)Yanping Bao (1 shared paper)Michael Van Ameringen (2 shared papers)Yunhe Wang (1 shared paper)Jianyu Que (1 shared paper)
- Journals
- Journal of Affective Disorders (2 papers)Asian Journal of Psychiatry (2 papers)Therapeutic Advances in Drug Safety (1 paper)The Canadian Journal of Psychiatry (1 paper)European Psychiatry (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Nisha Ravindran
11 papers receiving 224 citations
Peers
Comparison fields: 5 of 38
- Biological Psychiatry 34
- Pharmacology 74
- Psychiatry and Mental health 44
- Clinical Psychology 63
- Behavioral Neuroscience 6
Countries citing papers authored by Nisha Ravindran
This map shows the geographic impact of Nisha Ravindran'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 Nisha Ravindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Ravindran more than expected).
Fields of papers citing papers by Nisha Ravindran
This network shows the impact of papers produced by Nisha Ravindran. 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 Nisha Ravindran. The network helps show where Nisha Ravindran may publish in the future.
Co-authors
The 25 scholars most cited alongside Nisha Ravindran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2020 | 72 | |
| 3 | 2020 | 38 | |
| 4 | 2025 | 13 | |
| 5 | 2022 | 13 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2020 | 1 |
About Nisha Ravindran
Nisha Ravindran is a scholar working on Pharmacology, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Clinical Psychology and Biological Psychiatry, having authored 11 papers that have together received 229 indexed citations. Recurring topics across this work include Treatment of Major Depression (4 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Tryptophan and brain disorders (1 paper), Musculoskeletal pain and rehabilitation (1 paper), COVID-19 and Mental Health (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Biological Psychiatry (34 citations), Pharmacology (74 citations), Psychiatry and Mental health (44 citations), Clinical Psychology (63 citations) and Behavioral Neuroscience (6 citations). Nisha Ravindran has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Arun Ravindran, Lin Lü, Mao‐Sheng Ran, Jie Shi, Yanping Bao, Michael Van Ameringen, Yunhe Wang, Jianyu Que, Zheng-An Lu and Lin Liu. Their work appears in journals such as Journal of Affective Disorders, Asian Journal of Psychiatry, Therapeutic Advances in Drug Safety, The Canadian Journal of Psychiatry and European Psychiatry.
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.