Manjula Subbanna
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
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- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 7
- Co-authors
- Monojit Debnath (19 shared papers)Venkataram Shivakumar (17 shared papers)Ganesan Venkatasubramanian (16 shared papers)Janardhanan C. Narayanaswamy (12 shared papers)Sunil V. Kalmady (9 shared papers)Sri Mahavir Agarwal (6 shared papers)Ashwini Rajasekaran (5 shared papers)Anekal C. Amaresha (6 shared papers)
In The Last Decade
Manjula Subbanna
22 papers receiving 262 citations
Peers
Comparison fields: 5 of 54
- Biological Psychiatry 79
- Behavioral Neuroscience 26
- Neurology 45
- Neurology 41
- Sensory Systems 13
Countries citing papers authored by Manjula Subbanna
This map shows the geographic impact of Manjula Subbanna'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 Manjula Subbanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manjula Subbanna more than expected).
Fields of papers citing papers by Manjula Subbanna
This network shows the impact of papers produced by Manjula Subbanna. 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 Manjula Subbanna. The network helps show where Manjula Subbanna may publish in the future.
Co-authors
The 25 scholars most cited alongside Manjula Subbanna, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 27 | |
| 2 | 2018 | 26 | |
| 3 | 2019 | 22 | |
| 4 | 2015 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2023 | 11 | |
| 13 | Physiological mechanism underlying the progressive resistance to noise induced hearing loss | 1989 | 10 |
| 14 | 2020 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2023 | 2 |
About Manjula Subbanna
Manjula Subbanna is a scholar working on Biological Psychiatry, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Clinical Psychology, having authored 22 papers that have together received 263 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (7 papers), Hereditary Neurological Disorders (3 papers), Transcranial Magnetic Stimulation Studies (3 papers), Peripheral Neuropathies and Disorders (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Endometriosis Research and Treatment (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Biological Psychiatry (79 citations), Behavioral Neuroscience (26 citations), Neurology (45 citations), Neurology (41 citations) and Sensory Systems (13 citations). Manjula Subbanna has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Monojit Debnath, Venkataram Shivakumar, Ganesan Venkatasubramanian, Janardhanan C. Narayanaswamy, Sunil V. Kalmady, Sri Mahavir Agarwal, Ashwini Rajasekaran, Anekal C. Amaresha, Michael Berk and Shivarama Varambally. Their work appears in journals such as Asian Journal of Psychiatry, Cytokine, Journal of Psychiatric Research, Journal of Neuroimmunology and Journal of Neural Transmission.
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.