Swagata Sinha

1.3k total citations
76 papers, 986 citations indexed

About

Swagata Sinha is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Swagata Sinha has authored 76 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 41 papers in Psychiatry and Mental health and 37 papers in Genetics. Recurrent topics in Swagata Sinha's work include Attention Deficit Hyperactivity Disorder (37 papers), Genetics and Neurodevelopmental Disorders (35 papers) and Autism Spectrum Disorder Research (35 papers). Swagata Sinha is often cited by papers focused on Attention Deficit Hyperactivity Disorder (37 papers), Genetics and Neurodevelopmental Disorders (35 papers) and Autism Spectrum Disorder Research (35 papers). Swagata Sinha collaborates with scholars based in India, United States and Sweden. Swagata Sinha's co-authors include Kanchan Mukhopadhyay, Usha Rajamma, Anindita Chatterjee, Saurabh Ghosh, Manoranjan Singh, Prasanta Kumar Gangopadhyay, Anindita Chattopadhyay, Subhrangshu Guhathakurta, Kochupurackal P. Mohanakumar and Arpita Chatterjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Swagata Sinha

73 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swagata Sinha India 20 450 430 357 210 172 76 986
Chris Stodgell United States 18 603 1.3× 406 0.9× 486 1.4× 284 1.4× 103 0.6× 38 1.4k
Yoav Kohn Israel 21 189 0.4× 231 0.5× 402 1.1× 332 1.6× 159 0.9× 55 1.2k
Jytte Bieber Nielsen Denmark 15 489 1.1× 377 0.9× 403 1.1× 315 1.5× 81 0.5× 27 1.1k
Hagit Flusser Israel 20 306 0.7× 156 0.4× 255 0.7× 533 2.5× 124 0.7× 46 1.3k
Nicholas Craddock United Kingdom 17 188 0.4× 383 0.9× 449 1.3× 349 1.7× 118 0.7× 21 1.3k
Francesco Bettella Norway 25 368 0.8× 528 1.2× 711 2.0× 375 1.8× 85 0.5× 61 1.7k
Gianluca Ursini United States 20 339 0.8× 287 0.7× 242 0.7× 320 1.5× 278 1.6× 38 1.1k
Dov Inbar Israel 16 185 0.4× 311 0.7× 155 0.4× 203 1.0× 74 0.4× 37 895
Sarah Tosato Italy 21 173 0.4× 458 1.1× 130 0.4× 140 0.7× 85 0.5× 55 1000
Alberto Fernández‐Jaén Spain 16 270 0.6× 397 0.9× 138 0.4× 171 0.8× 75 0.4× 126 902

Countries citing papers authored by Swagata Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Swagata Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swagata Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Swagata Sinha. A scholar is included among the top collaborators of Swagata Sinha 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 Swagata Sinha. Swagata Sinha 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.
Sinha, Swagata, et al.. (2024). Indian ASD probands with 25(OH)D and vitamin D binding protein deficiency exhibited higher severity. Scientific Reports. 14(1). 19242–19242. 2 indexed citations
2.
Sinha, Swagata, et al.. (2023). Analysis of neurotransmitters validates the importance of the dopaminergic system in autism spectrum disorder. World Journal of Pediatrics. 19(8). 770–781. 8 indexed citations
3.
Sinha, Swagata, et al.. (2023). Glutamate receptor genetic variants affected peripheral glutamatergic transmission and treatment induced improvement of Indian ADHD probands. Scientific Reports. 13(1). 19922–19922. 1 indexed citations
4.
Sinha, Swagata, et al.. (2022). A three-pronged analysis confirms the association of the serotoninergic system with attention deficit hyperactivity disorder. World Journal of Pediatrics. 18(12). 825–834. 7 indexed citations
5.
Roychowdhury, Anirban, et al.. (2022). Specific dopaminergic genetic variants influence impulsivity, cognitive deficit, and disease severity of Indian ADHD probands. Molecular Biology Reports. 49(8). 7315–7325. 1 indexed citations
6.
Sinha, Swagata, et al.. (2022). GABA Receptor SNPs and Elevated Plasma GABA Levels Affect the Severity of the Indian ASD Probands. Journal of Molecular Neuroscience. 72(6). 1300–1312. 5 indexed citations
7.
Sinha, Swagata, et al.. (2022). Kainate receptor subunit 1 (GRIK1) risk variants and GRIK1 deficiency were detected in the Indian ADHD probands. Scientific Reports. 12(1). 18449–18449. 5 indexed citations
8.
Ray, Anirban, et al.. (2022). Post-treatment symptomatic improvement of the eastern Indian ADHD probands is influenced by CYP2D6 genetic variations. Drug Metabolism and Personalized Therapy. 38(1). 45–56. 2 indexed citations
10.
Sinha, Swagata, et al.. (2017). Components of the folate metabolic pathway and ADHD core traits: an exploration in eastern Indian probands. Journal of Human Genetics. 62(7). 687–695. 19 indexed citations
11.
Sinha, Swagata, et al.. (2017). Cyclin-dependent Kinase 5: Novel role of gene variants identified in ADHD. Scientific Reports. 7(1). 6828–6828. 7 indexed citations
12.
Mukherjee, Kaushik, et al.. (2016). Pilot Study Revealed Association of DRD4 Promoter Variants with ADHD Associated Functional Deficit in Indian Probands. Journal of medical research/˜The œjournal of medical research. 2 indexed citations
13.
Ghosh, P., et al.. (2013). DOPAMINE BETA HYDROXYLASE: ITS RELEVANCE IN THE ETIOLOGY OF ATTENTION DEFICIT HYPERACTIVITY DISORDER. Journal of Proteins and Proteomics. 3(3). 2 indexed citations
14.
Ghosh, Debarati, et al.. (2012). No Evidence for Mutations that Deregulate GARS–AIRS–GART Protein Levels in Children with Down Syndrome. Indian Journal of Clinical Biochemistry. 27(1). 46–51.
15.
Chatterjee, Arpita, et al.. (2011). Exploratory investigation on functional significance of ETS2 and SIM2 genes in Down syndrome.. SHILAP Revista de lepidopterología. 31(5). 247–57. 5 indexed citations
16.
Shaw, Jyoti, Arpita Chatterjee, Usha Rajamma, et al.. (2011). Importance of gene variants and co-factors of folate metabolic pathway in the etiology of idiopathic intellectual disability. Nutritional Neuroscience. 14(5). 202–209. 9 indexed citations
17.
Sinha, Swagata, et al.. (2009). Family‐based studies indicate association of Engrailed 2 gene with autism in an Indian population. Genes Brain & Behavior. 9(2). 248–255. 35 indexed citations
18.
Das, Manali, et al.. (2009). Screening of rural children in West Bengal for fragile-X syndrome.. PubMed. 130(6). 714–9. 3 indexed citations
19.
Ghosh, Debarati, Swagata Sinha, Anindita Chatterjee, & Krishnadas Nandagopal. (2009). A study of GluK1 kainate receptor polymorphisms in Down syndrome reveals allelic non-disjunction at 1173(C/T).. SHILAP Revista de lepidopterología. 27(2). 45–54. 2 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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