Kaustav Chakraborty

1.9k total citations
68 papers, 963 citations indexed

About

Kaustav Chakraborty is a scholar working on Psychiatry and Mental health, Clinical Psychology and Epidemiology. According to data from OpenAlex, Kaustav Chakraborty has authored 68 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Psychiatry and Mental health, 18 papers in Clinical Psychology and 6 papers in Epidemiology. Recurrent topics in Kaustav Chakraborty's work include Bipolar Disorder and Treatment (15 papers), Schizophrenia research and treatment (12 papers) and Electroconvulsive Therapy Studies (10 papers). Kaustav Chakraborty is often cited by papers focused on Bipolar Disorder and Treatment (15 papers), Schizophrenia research and treatment (12 papers) and Electroconvulsive Therapy Studies (10 papers). Kaustav Chakraborty collaborates with scholars based in India, United States and France. Kaustav Chakraborty's co-authors include Sandeep Grover, Moumita Chatterjee, Ajit Avasthi, Ashima Bhattacharjee, Arindam Bhattacharyya, Suresh Kumar, Rajarshi Neogi, Soumya Chatterjee, Debasish Basu and Amitava Dan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Psychiatry Research.

In The Last Decade

Kaustav Chakraborty

61 papers receiving 914 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaustav Chakraborty India 18 312 286 163 117 75 68 963
Ursina Meyer Switzerland 21 90 0.3× 205 0.7× 105 0.6× 95 0.8× 84 1.1× 45 2.6k
Karen Davison Canada 20 221 0.7× 150 0.5× 112 0.7× 86 0.7× 31 0.4× 56 1.0k
Cindy Tworek United States 23 315 1.0× 156 0.5× 114 0.7× 30 0.3× 37 0.5× 40 1.7k
Hans Wouters Netherlands 21 141 0.5× 251 0.9× 69 0.4× 104 0.9× 15 0.2× 61 1.6k
P Marimuthu India 17 135 0.4× 150 0.5× 121 0.7× 67 0.6× 55 0.7× 82 969
Shaiful Bahari Ismail Malaysia 18 297 1.0× 142 0.5× 64 0.4× 118 1.0× 24 0.3× 94 1.4k
Mark L. Rubinstein United States 25 220 0.7× 58 0.2× 158 1.0× 53 0.5× 70 0.9× 42 1.7k
Jacqueline Lewis Canada 19 176 0.6× 147 0.5× 155 1.0× 101 0.9× 55 0.7× 36 2.3k
Eun Young Kim South Korea 19 249 0.8× 69 0.2× 135 0.8× 79 0.7× 50 0.7× 102 1.3k
Patricia González United States 27 491 1.6× 76 0.3× 456 2.8× 209 1.8× 75 1.0× 65 2.2k

Countries citing papers authored by Kaustav Chakraborty

Since Specialization
Citations

This map shows the geographic impact of Kaustav Chakraborty'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 Kaustav Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaustav Chakraborty more than expected).

Fields of papers citing papers by Kaustav Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaustav Chakraborty. 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 Kaustav Chakraborty. The network helps show where Kaustav Chakraborty may publish in the future.

Co-authorship network of co-authors of Kaustav Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Kaustav Chakraborty. A scholar is included among the top collaborators of Kaustav Chakraborty 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 Kaustav Chakraborty. Kaustav Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Avasthi, Ajit, Amitava Dan, Kaustav Chakraborty, et al.. (2025). Factors associated with lifetime rapid cycling in bipolar disorder: Findings from the Bipolar Disorder Course and Outcome study from India (BiD-CoIN study). Journal of Affective Disorders. 378. 13–18.
2.
Chakraborty, Kaustav, et al.. (2024). Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers. 9953–9959. 1 indexed citations
3.
Chakraborty, Kaustav, Srijan Sengupta, & Yuguo Chen. (2024). Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling. Journal of Computational and Graphical Statistics. 34(3). 1127–1139. 2 indexed citations
4.
Avasthi, Ajit, Amitava Dan, Kaustav Chakraborty, et al.. (2024). Factors associated with seasonal affective disorder: Findings from the bipolar disorder course and outcome study from India (BiD-CoIN study). Psychiatry Research. 342. 116232–116232.
5.
Chakraborty, Kaustav, et al.. (2023). The Queer and the Vernacular Languages in India.
6.
Grover, Sandeep, Ajit Avasthi, Amitava Dan, et al.. (2022). Prevalence and association of comorbid substance dependence on the course and outcome of bipolar disorder: Findings from the bipolar disorder course and outcome study from India (BiD-CoIN study). Indian Journal of Psychiatry. 64(5). 449–456. 4 indexed citations
7.
Chakraborty, Kaustav & Moumita Chatterjee. (2020). Psychological impact of COVID-19 pandemic on general population in West Bengal: A cross-sectional study. Indian Journal of Psychiatry. 62(3). 266–266. 96 indexed citations
8.
Grover, Sandeep, Ajit Avasthi, Amitava Dan, et al.. (2020). Bipolar Disorder Course and Outcome Study from India (BiD-CoIN study): Sample Description & Methods. Journal of Affective Disorders. 280(Pt B). 16–23. 14 indexed citations
9.
Bhattacharyya, Ranjan, et al.. (2019). A comparative study of temperamental, behavioral, and cognitive changes in thalassemia major, thalassemia minor, and normal population. Indian Journal of Psychiatry. 61(6). 618–618. 2 indexed citations
10.
Chakraborty, Kaustav, et al.. (2018). Vinegar production from vegetable waste: Optimization of physical condition and kinetic modeling of fermentation process. 24(5). 508–516. 5 indexed citations
11.
Chakraborty, Kaustav. (2018). District Mental Health Program – Moving beyond Bellary model. Indian Journal of Psychiatry. 60(4). 510–510. 1 indexed citations
12.
Chakraborty, Kaustav. (2018). Radical Grace: Hymning of ‘Womanhood’ in Therigatha. Feminist Theology. 26(2). 160–170.
13.
Chakraborty, Kaustav, Avijit Dey, Arindam Bhattacharyya, & Subir Chandra Dasgupta. (2018). Anti-fibrotic effect of black tea (Camellia sinensis) extract in experimental pulmonary fibrosis. Tissue and Cell. 56. 14–22. 13 indexed citations
14.
15.
Chatterjee, Seshadri Sekhar, et al.. (2015). Prevalence of restless legs syndrome in somatoform pain disorder and its effect on quality of life. Journal of Neurosciences in Rural Practice. 6(2). 160–164. 8 indexed citations
16.
Chakraborty, Kaustav, et al.. (2014). Tropical fruit wines: Amini review.. 10(7). 1 indexed citations
17.
Chakraborty, Kaustav, Soumya Chatterjee, & Arindam Bhattacharyya. (2014). Modulation of phenotypic and functional maturation of murine bone-marrow-derived dendritic cells (BMDCs) induced by cadmium chloride. International Immunopharmacology. 20(1). 131–140. 15 indexed citations
18.
Mattoo, Surendra K., et al.. (2011). Prevalence & correlates of metabolic syndrome in alcohol & opioid dependent inpatients.. PubMed. 134. 341–8. 18 indexed citations
19.
Mattoo, S. K., Abhishek Ghosh, & Kaustav Chakraborty. (2011). Newer molecules in the treatment of schizophrenia: A clinical update. Indian Journal of Pharmacology. 43(2). 105–105. 10 indexed citations
20.
Maitra, Animesh, et al.. (2009). Comparison of TRMM estimated rainfall with ground truth over Calcutta. 1–4. 1 indexed citations

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.

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