Arjun Muralidharan

33 total papers · 598 total citations
19 papers, 422 citations indexed

About

Arjun Muralidharan is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Arjun Muralidharan has authored 19 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Arjun Muralidharan's work include Pain Mechanisms and Treatments (13 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (3 papers). Arjun Muralidharan is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (3 papers). Arjun Muralidharan collaborates with scholars based in Australia, United States and India. Arjun Muralidharan's co-authors include Maree T. Smith, Bruce Wyse, Trent M. Woodruff, Thomas Walther, Ramamoorthy Rajkumar, V. S. Rao, Radhakrishnan Mahesh, Dilip K. Pandey, Nemat Khan and Laura Corradini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society B Biological Sciences and British Journal of Pharmacology.

In The Last Decade

Arjun Muralidharan

18 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Arjun Muralidharan 192 142 110 72 44 19 422
Yishan Lei 181 0.9× 80 0.6× 89 0.8× 49 0.7× 50 1.1× 23 425
F. Caussade 179 0.9× 102 0.7× 105 1.0× 102 1.4× 37 0.8× 19 453
Fang Luo 233 1.2× 204 1.4× 156 1.4× 48 0.7× 20 0.5× 23 445
Lanxiang Wu 220 1.1× 86 0.6× 93 0.8× 43 0.6× 15 0.3× 26 478
Vasiliki Mitsi 275 1.4× 211 1.5× 151 1.4× 80 1.1× 22 0.5× 11 469
O Varoquaux 67 0.3× 103 0.7× 83 0.8× 87 1.2× 14 0.3× 23 393
Marc J. Barjavel 191 1.0× 159 1.1× 84 0.8× 27 0.4× 23 0.5× 11 426
Shushan Jia 278 1.4× 155 1.1× 189 1.7× 49 0.7× 18 0.4× 21 490
Peng Zhou 94 0.5× 103 0.7× 137 1.2× 66 0.9× 37 0.8× 13 446
Jarkko Kalliomäki 236 1.2× 127 0.9× 56 0.5× 172 2.4× 38 0.9× 15 451

Countries citing papers authored by Arjun Muralidharan

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Muralidharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Muralidharan

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Muralidharan. A scholar is included among the top collaborators of Arjun Muralidharan 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 Arjun Muralidharan. Arjun Muralidharan 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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