Sudar Alagarsamy

562 total citations
10 papers, 464 citations indexed

About

Sudar Alagarsamy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Sudar Alagarsamy has authored 10 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Sudar Alagarsamy's work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Sudar Alagarsamy is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Sudar Alagarsamy collaborates with scholars based in United States, Switzerland and Australia. Sudar Alagarsamy's co-authors include P. Jeffrey Conn, Taku Sugawara, Guido Mannaioni, Stephen F. Traynelis, Pak H. Chan, Candice Junge, Daniel J. Brat, Andrew C. Papanicolaou, Robert L. Rogers and Howard M. Eisenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Gastroenterology.

In The Last Decade

Sudar Alagarsamy

10 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudar Alagarsamy United States 7 176 165 133 99 49 10 464
Kathrin Baldauf Germany 8 152 0.9× 75 0.5× 103 0.8× 33 0.3× 21 0.4× 15 407
Hideaki Ishiguro Japan 13 155 0.9× 71 0.4× 206 1.5× 25 0.3× 16 0.3× 34 538
Mariusz Mucha United Kingdom 9 205 1.2× 52 0.3× 249 1.9× 20 0.2× 39 0.8× 13 573
Pauline Obiang France 9 100 0.6× 62 0.4× 75 0.6× 31 0.3× 64 1.3× 9 366
Stefania Bigoni Italy 14 105 0.6× 90 0.5× 190 1.4× 24 0.2× 6 0.1× 33 520
Greta I. Berg United States 6 134 0.8× 69 0.4× 138 1.0× 14 0.1× 48 1.0× 10 442
Renée Ribacoba Spain 12 82 0.5× 105 0.6× 155 1.2× 8 0.1× 38 0.8× 16 486
Corinne Pfister Switzerland 7 124 0.7× 429 2.6× 279 2.1× 14 0.1× 10 0.2× 9 834
Niccole J. Larsen United States 6 111 0.6× 116 0.7× 74 0.6× 25 0.3× 7 0.1× 7 337
David McCue United States 9 142 0.8× 63 0.4× 135 1.0× 102 1.0× 12 0.2× 15 424

Countries citing papers authored by Sudar Alagarsamy

Since Specialization
Citations

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

Fields of papers citing papers by Sudar Alagarsamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudar Alagarsamy

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

All Works

10 of 10 papers shown
3.
Hargrove, Diane M., Sudar Alagarsamy, Karthik Srinivasan, et al.. (2011). Pharmacological Characterization of FE 203799, a Novel Long Acting Peptide Analog of Glucagon-Like Peptide-2 (GLP-2). Gastroenterology. 140(5). S–293. 2 indexed citations
4.
Wiśniewski, Kazimierz, Robert Galyean, Sudar Alagarsamy, et al.. (2009). Synthesis and in vitro Pharmacological Profile of Potent and Selective Peptidic V1a Receptor Agonists.. Advances in experimental medicine and biology. 611. 507–508. 8 indexed citations
5.
Alagarsamy, Sudar, et al.. (2005). NMDA-induced potentiation of mGluR5 is mediated by activation of protein phosphatase 2B/calcineurin. Neuropharmacology. 49. 135–145. 76 indexed citations
6.
Doherty, James, Sudar Alagarsamy, Kristopher J. Bough, et al.. (2004). Metabotropic glutamate receptors modulate feedback inhibition in a developmentally regulated manner in rat dentate gyrus. The Journal of Physiology. 561(2). 395–401. 20 indexed citations
7.
Junge, Candice, Taku Sugawara, Guido Mannaioni, et al.. (2003). The contribution of protease-activated receptor 1 to neuronal damage caused by transient focal cerebral ischemia. Proceedings of the National Academy of Sciences. 100(22). 13019–13024. 171 indexed citations
8.
Alagarsamy, Sudar, Susan T. Rouse, George W. Hubert, et al.. (2002). NMDA-induced phosphorylation and regulation of mGluR5. Pharmacology Biochemistry and Behavior. 73(2). 299–306. 51 indexed citations
9.
Pappas, Todd C., Sudar Alagarsamy, Richard B. Pollard, & Mostafa Nokta. (1998). HIV Decreases Glutamate Transport in Sk-N-Mc Neuroblastoma Cells. Journal of NeuroVirology. 4(1). 69–79. 9 indexed citations
10.
Rogers, Robert L., et al.. (1991). Localization of the P3 sources using magnetoencephalography and magnetic resonance imaging. Electroencephalography and Clinical Neurophysiology. 79(4). 308–321. 117 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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