Surabi Veeraragavan

27 total papers · 740 total citations
12 papers, 438 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 438 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 Autism Spectrum Disorder Research (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Surabi Veeraragavan is often cited by papers focused on Autism Spectrum Disorder Research (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Surabi Veeraragavan collaborates with scholars based in United States, Germany and Netherlands. Surabi Veeraragavan's co-authors include Richard Paylor, Lisa A. Yuva‐Paylor, Nghiem Bui, Shannon Hamilton, Jennie R. Green, Aaron McCoy, Yumei Wu, Diana Ji, Joe Warren and Edward J. Weinstein 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 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Surabi Veeraragavan 250 226 222 65 35 12 438
Freddy Zhang 165 0.7× 134 0.6× 202 0.9× 74 1.1× 46 1.3× 8 372
Darine Froy N. Mabunga 184 0.7× 253 1.1× 115 0.5× 70 1.1× 34 1.0× 14 470
Mellanie Fontes‐Dutra 164 0.7× 246 1.1× 104 0.5× 53 0.8× 27 0.8× 18 410
Hana Seung 166 0.7× 221 1.0× 118 0.5× 89 1.4× 28 0.8× 13 398
Diane Dufour‐Rainfray 133 0.5× 192 0.8× 154 0.7× 32 0.5× 73 2.1× 23 491
Lionel Host 175 0.7× 84 0.4× 297 1.3× 98 1.5× 33 0.9× 10 436
Michelle A. Cheh 230 0.9× 262 1.2× 139 0.6× 73 1.1× 25 0.7× 8 441
Luigi Balasco 116 0.5× 238 1.1× 93 0.4× 61 0.9× 16 0.5× 14 388
Ayse Özge Sungur 178 0.7× 210 0.9× 153 0.7× 144 2.2× 18 0.5× 14 454
Federica Filice 212 0.8× 237 1.0× 128 0.6× 171 2.6× 19 0.5× 10 473

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

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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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