Susheel Vijayraghavan

2.7k total citations · 2 hit papers
13 papers, 2.0k citations indexed

About

Susheel Vijayraghavan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Susheel Vijayraghavan has authored 13 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Susheel Vijayraghavan's work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (6 papers) and Receptor Mechanisms and Signaling (6 papers). Susheel Vijayraghavan is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (6 papers) and Receptor Mechanisms and Signaling (6 papers). Susheel Vijayraghavan collaborates with scholars based in United States, Canada and Czechia. Susheel Vijayraghavan's co-authors include Min Wang, Amy F.T. Arnsten, Shari G. Birnbaum, Graham V. Williams, Patricia S. Goldman‐Rakic, Stefan Everling, Constantinos D. Paspalas, Brian P. Ramos, Avis R. Brennan and Eric Nou and has published in prestigious journals such as Science, Cell and Neuron.

In The Last Decade

Susheel Vijayraghavan

13 papers receiving 2.0k citations

Hit Papers

Inverted-U dopamine D1 receptor actions on prefrontal neu... 2007 2026 2013 2019 2007 2007 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory
    2007 784 citations Susheel Vijayraghavan, Min Wang et al. Nature Neuroscience profile →
  2. α2A-Adrenoceptors Strengthen Working Memory Networks by Inhibiting cAMP-HCN Channel Signaling in Prefrontal Cortex
    2007 527 citations Min Wang, Brian P. Ramos et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susheel Vijayraghavan United States 11 1.2k 1.0k 610 383 193 13 2.0k
Brian P. Ramos United States 12 817 0.7× 976 1.0× 677 1.1× 280 0.7× 214 1.1× 14 1.9k
Timothy Spellman United States 16 1.5k 1.2× 1.3k 1.3× 388 0.6× 201 0.5× 226 1.2× 21 2.5k
Nao J. Gamo United States 15 838 0.7× 688 0.7× 394 0.6× 257 0.7× 104 0.5× 19 1.5k
Stacy A. Castner United States 21 639 0.5× 1.1k 1.1× 601 1.0× 407 1.1× 231 1.2× 31 2.0k
Bianca Jupp Australia 25 609 0.5× 876 0.9× 332 0.5× 300 0.8× 118 0.6× 49 1.6k
Brooke E. Schmeichel United States 14 823 0.7× 821 0.8× 286 0.5× 450 1.2× 167 0.9× 19 1.7k
Andrew M. Farrar United States 21 661 0.6× 1.2k 1.2× 487 0.8× 234 0.6× 156 0.8× 26 2.0k
Maric Tse Canada 14 878 0.7× 1.0k 1.0× 349 0.6× 188 0.5× 302 1.6× 16 1.7k
Sven Kroener United States 22 724 0.6× 811 0.8× 478 0.8× 150 0.4× 107 0.6× 36 1.7k
Grazia Caforio Italy 23 1.1k 1.0× 494 0.5× 420 0.7× 692 1.8× 95 0.5× 36 2.0k

Countries citing papers authored by Susheel Vijayraghavan

Since Specialization
Citations

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

Fields of papers citing papers by Susheel Vijayraghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susheel Vijayraghavan

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

All Works

13 of 13 papers shown
1.
Vijayraghavan, Susheel & Stefan Everling. (2021). Neuromodulation of Persistent Activity and Working Memory Circuitry in Primate Prefrontal Cortex by Muscarinic Receptors. Frontiers in Neural Circuits. 15. 648624–648624. 7 indexed citations
2.
Vijayraghavan, Susheel, et al.. (2018). Muscarinic M1 Receptor Overstimulation Disrupts Working Memory Activity for Rules in Primate Prefrontal Cortex. Neuron. 98(6). 1256–1268.e4. 39 indexed citations
3.
Vijayraghavan, Susheel, et al.. (2017). Cholinergic Overstimulation Attenuates Rule Selectivity in Macaque Prefrontal Cortex. Journal of Neuroscience. 38(5). 1137–1150. 14 indexed citations
4.
Vijayraghavan, Susheel, et al.. (2017). Neuromodulation of Prefrontal Cortex in Non-Human Primates by Dopaminergic Receptors during Rule-Guided Flexible Behavior and Cognitive Control. Frontiers in Neural Circuits. 11. 91–91. 25 indexed citations
5.
Vijayraghavan, Susheel, et al.. (2016). Dopamine D1 and D2 Receptors Make Dissociable Contributions to Dorsolateral Prefrontal Cortical Regulation of Rule-Guided Oculomotor Behavior. Cell Reports. 16(3). 805–816. 24 indexed citations
6.
Gamo, Nao J., György Lür, Michael J. Higley, et al.. (2015). Stress Impairs Prefrontal Cortical Function via D1 Dopamine Receptor Interactions With Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels. Biological Psychiatry. 78(12). 860–870. 76 indexed citations
7.
Vijayraghavan, Susheel, et al.. (2015). Muscarinic Attenuation of Mnemonic Rule Representation in Macaque Dorsolateral Prefrontal Cortex during a Pro- and Anti-Saccade Task. Journal of Neuroscience. 35(49). 16064–16076. 28 indexed citations
8.
Gamo, Nao J., György Lür, Michael J. Higley, et al.. (2015). Stress Impairs Prefrontal Cortical Function Via D1 Dopamine Receptor Interactions With HCN Channels. 11 indexed citations
9.
Vijayraghavan, Susheel. (2008). Physiological actions and signaling mechanisms of dopamine D1-D5 receptor modulation of working memory circuitry in prefrontal cortex. 1 indexed citations
10.
Wang, Min, Brian P. Ramos, Constantinos D. Paspalas, et al.. (2007). α2A-Adrenoceptors Strengthen Working Memory Networks by Inhibiting cAMP-HCN Channel Signaling in Prefrontal Cortex. Cell. 129(2). 397–410. 527 indexed citations breakdown →
11.
Vijayraghavan, Susheel, Min Wang, Shari G. Birnbaum, Graham V. Williams, & Amy F.T. Arnsten. (2007). Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory. Nature Neuroscience. 10(3). 376–384. 784 indexed citations breakdown →
12.
Birnbaum, Shari G., P Yuan, M. Wang, et al.. (2004). Protein Kinase C Overactivity Impairs Prefrontal Cortical Regulation of Working Memory. Science. 306(5697). 882–884. 241 indexed citations
13.
Wang, Min, Susheel Vijayraghavan, & Patricia S. Goldman‐Rakic. (2004). Selective D2 Receptor Actions on the Functional Circuitry of Working Memory. Science. 303(5659). 853–856. 256 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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