Surabi Veeraragavan

750 total citations
12 papers, 440 citations indexed

About

Surabi Veeraragavan is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Surabi Veeraragavan has authored 12 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Surabi Veeraragavan's work include Genetics and Neurodevelopmental Disorders (6 papers), Autism Spectrum Disorder Research (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Surabi Veeraragavan is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), Autism Spectrum Disorder Research (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Surabi Veeraragavan collaborates with scholars based in United States, Netherlands and Germany. Surabi Veeraragavan's co-authors include Richard Paylor, Nghiem Bui, Lisa A. Yuva‐Paylor, Jennie R. Green, Shannon Hamilton, Edward J. Weinstein, Joe Warren, Yumei Wu, Xiaoxia Cui and Diana Ji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Surabi Veeraragavan

12 papers receiving 439 citations

Peers

Surabi Veeraragavan
Surabi Veeraragavan
Citations per year, relative to Surabi Veeraragavan Surabi Veeraragavan (= 1×) peers Alexandros K. Kanellopoulos

Countries citing papers authored by Surabi Veeraragavan

Since Specialization
Citations

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

Fields of papers citing papers by Surabi Veeraragavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surabi Veeraragavan

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

All Works

12 of 12 papers shown
1.
Kamal, Abu Hena Mostafa, Cristian Coarfa, Sang Jun Han, et al.. (2024). Identification of distinct stool metabolites in women with endometriosis for non-invasive diagnosis and potential for microbiota-based therapies. Med. 6(2). 100517–100517. 8 indexed citations
2.
Veeraragavan, Surabi, Siyuan Song, Masashi Fujita, et al.. (2024). Alzheimer’s disease risk gene CD2AP is a dose-sensitive determinant of synaptic structure and plasticity. Human Molecular Genetics. 33(20). 1815–1832. 5 indexed citations
3.
McInnes, Joseph, et al.. (2024). Olfactory deficit and gastrointestinal dysfunction precede motor abnormalities in alpha-Synuclein G51D knock-in mice. Proceedings of the National Academy of Sciences. 121(39). e2406479121–e2406479121. 2 indexed citations
4.
Jain, Antrix, Susanne Theiß, Christian P. Schaaf, et al.. (2023). Magel2 truncation alters select behavioral and physiological outcomes in a rat model of Schaaf-Yang syndrome. Disease Models & Mechanisms. 16(2). 6 indexed citations
5.
Luk, Berkley, Surabi Veeraragavan, Melinda A. Engevik, et al.. (2018). Postnatal colonization with human "infant-type" Bifidobacterium species alters behavior of adult gnotobiotic mice. PLoS ONE. 13(5). e0196510–e0196510. 67 indexed citations
6.
Gulinello, Maria, Heather A. Mitchell, Qiang Chang, et al.. (2018). Rigor and reproducibility in rodent behavioral research. Neurobiology of Learning and Memory. 165. 106780–106780. 74 indexed citations
7.
Veeraragavan, Surabi, Ying-Wooi Wan, Shannon Hamilton, et al.. (2016). Loss of MeCP2 in the rat models regression, impaired sociability and transcriptional deficits of Rett syndrome. Human Molecular Genetics. 25(15). 3284–3302. 47 indexed citations
8.
Hamilton, Shannon, Jennie R. Green, Surabi Veeraragavan, et al.. (2014). Fmr1 and Nlgn3 knockout rats: Novel tools for investigating autism spectrum disorders.. Behavioral Neuroscience. 128(2). 103–109. 111 indexed citations
9.
Paylor, Richard, Alexia M. Thomas, Surabi Veeraragavan, & Corinne M. Spencer. (2013). Putting Into Perspective the Use of the Fmr1 Knockout Mouse as a Model for Autism Spectrum Disorder. Oxford University Press eBooks. 1 indexed citations
10.
Veeraragavan, Surabi, et al.. (2011). Modulation of behavioral phenotypes by a muscarinic M1 antagonist in a mouse model of fragile X syndrome. Psychopharmacology. 217(1). 143–151. 50 indexed citations
11.
Veeraragavan, Surabi, Deanna Graham, Nghiem Bui, et al.. (2011). Genetic reduction of muscarinic M4 receptor modulates analgesic response and acoustic startle response in a mouse model of fragile X syndrome (FXS). Behavioural Brain Research. 228(1). 1–8. 41 indexed citations
12.
Veeraragavan, Surabi, et al.. (2011). The modulation of fragile X behaviors by the muscarinic M4 antagonist, tropicamide.. Behavioral Neuroscience. 125(5). 783–790. 28 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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