Dipesh Chaudhury
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 2%
- Molecular Biology top 10%
- Behavioral Neuroscience top 0.5%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Christopher S. ColwellMing‐Hu HanEric J. NestlerAllyson K. FriedmanDavid DietzJa Wook KooRachael L. NeveMary Kay Lobo
- Topics
- Circadian rhythm and melatonin (13 papers)Neuroscience and Neuropharmacology Research (12 papers)Stress Responses and Cortisol (9 papers)
- Journals
- NatureScienceNature Communications
- Partner nations
- United StatesUnited Arab EmiratesUnited Kingdom
In The Last Decade
Dipesh Chaudhury
38 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 2.0k
- Cognitive Neuroscience 1.1k
- Molecular Biology 986
- Behavioral Neuroscience 674
- Endocrine and Autonomic Systems 672
Countries citing papers authored by Dipesh Chaudhury
This map shows the geographic impact of Dipesh Chaudhury'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 Dipesh Chaudhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipesh Chaudhury more than expected).
Fields of papers citing papers by Dipesh Chaudhury
This network shows the impact of papers produced by Dipesh Chaudhury. 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 Dipesh Chaudhury. The network helps show where Dipesh Chaudhury may publish in the future.
Co-authorship network of co-authors of Dipesh Chaudhury
This figure shows the co-authorship network connecting the top 25 collaborators of Dipesh Chaudhury. A scholar is included among the top collaborators of Dipesh Chaudhury 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 Dipesh Chaudhury. Dipesh Chaudhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 15 | |
| 6 | 14 | |
| 7 | 91 | |
| 8 | 40 | |
| 9 | KCNQ channel openers reverse depressive symptoms via an active resilience mechanism | 35 |
| 10 | 165 | |
| 11 | Ventral hippocampal afferents to the nucleus accumbens regulate susceptibility to depressionbreakdown → | 363 |
| 12 | 358 | |
| 13 | 64 | |
| 14 | 165 | |
| 15 | 131 | |
| 16 | 62 | |
| 17 | 96 | |
| 18 | 56 | |
| 19 | 126 | |
| 20 | 218 |
About Dipesh Chaudhury
Dipesh Chaudhury is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 39 papers that have together received 3.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (13 papers), Neuroscience and Neuropharmacology Research (12 papers) and Stress Responses and Cortisol (9 papers). The work is most often cited by research in Biological Psychiatry (474 citations), Behavioral Neuroscience (674 citations) and Cellular and Molecular Neuroscience (2.0k citations). Dipesh Chaudhury has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include Christopher S. Colwell, Ming‐Hu Han, Eric J. Nestler, Allyson K. Friedman, David Dietz, Ja Wook Koo, Rachael L. Neve, Mary Kay Lobo, Karl Deisseroth and HaoSheng Sun. Their work appears in journals such as Nature, Science and Nature Communications.
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.