Monojit Debnath
Impact in
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
-
- Tryptophan and brain disorders 35
- Immunology 23
- Reproductive System and Pregnancy 8
- Co-authors
- Michael Berk (17 shared papers)Ganesan Venkatasubramanian (34 shared papers)Michaël Maes (9 shared papers)Ashwini Rajasekaran (9 shared papers)Moinak Banerjee (4 shared papers)Venkataram Shivakumar (25 shared papers)Tapas K. Chaudhuri (9 shared papers)Janardhanan C. Narayanaswamy (16 shared papers)
In The Last Decade
Monojit Debnath
89 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Biological Psychiatry 692
- Behavioral Neuroscience 283
- Neurology 233
- Psychiatry and Mental health 324
- Immunology 257
Countries citing papers authored by Monojit Debnath
This map shows the geographic impact of Monojit Debnath'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 Monojit Debnath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monojit Debnath more than expected).
Fields of papers citing papers by Monojit Debnath
This network shows the impact of papers produced by Monojit Debnath. 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 Monojit Debnath. The network helps show where Monojit Debnath may publish in the future.
Co-authors
The 25 scholars most cited alongside Monojit Debnath, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 239 | |
| 2 | 2014 | 200 | |
| 3 | 2014 | 95 | |
| 4 | 2020 | 95 | |
| 5 | 2014 | 54 | |
| 6 | 2020 | 53 | |
| 7 | 2015 | 49 | |
| 8 | 2021 | 46 | |
| 9 | 2012 | 44 | |
| 10 | 2013 | 42 | |
| 11 | 2018 | 41 | |
| 12 | 2022 | 36 | |
| 13 | 2015 | 33 | |
| 14 | 2021 | 32 | |
| 15 | 2016 | 28 | |
| 16 | 2012 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 2019 | 24 |
About Monojit Debnath
Monojit Debnath is a scholar working on Biological Psychiatry, Immunology, Molecular Biology, Behavioral Neuroscience and Psychiatry and Mental health, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (35 papers), Stress Responses and Cortisol (15 papers), Hereditary Neurological Disorders (8 papers), Reproductive System and Pregnancy (8 papers), Schizophrenia research and treatment (7 papers), Mindfulness and Compassion Interventions (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Peripheral Neuropathies and Disorders (6 papers). The work is most often cited by research in Biological Psychiatry (692 citations), Behavioral Neuroscience (283 citations), Neurology (233 citations), Psychiatry and Mental health (324 citations) and Immunology (257 citations). Monojit Debnath has collaborated with scholars based in India, Australia and Bulgaria. Frequent co-authors include Michael Berk, Ganesan Venkatasubramanian, Michaël Maes, Ashwini Rajasekaran, Moinak Banerjee, Venkataram Shivakumar, Tapas K. Chaudhuri, Janardhanan C. Narayanaswamy, G. Paul Amminger and Patrick D. McGorry. Their work appears in journals such as Asian Journal of Psychiatry, Cytokine, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal of Psychiatric Research and Neuroscience & Biobehavioral Reviews.
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.