Rahul Srinivasan

76 total papers · 2.5k total citations
49 papers, 1.8k citations indexed

About

Rahul Srinivasan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Rahul Srinivasan has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Rahul Srinivasan's work include Nicotinic Acetylcholine Receptors Study (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (8 papers). Rahul Srinivasan is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (8 papers). Rahul Srinivasan collaborates with scholars based in United States, India and United Kingdom. Rahul Srinivasan's co-authors include Henry A. Lester, Baljit S. Khakh, Ben Huang, Peyman Golshani, Julie M. Miwa, April D. Johnston, Christopher I. Richards, Sharmila Venugopal, Hongkui Zeng and Rigo Pantoja and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Rahul Srinivasan

47 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Rahul Srinivasan 921 855 437 231 160 49 1.8k
Krzysztof Hyrc 848 0.9× 801 0.9× 300 0.7× 287 1.2× 73 0.5× 39 1.8k
Misty J. Eaton 1.1k 1.2× 1.0k 1.2× 246 0.6× 194 0.8× 132 0.8× 72 1.9k
Ji Xu 909 1.0× 905 1.1× 607 1.4× 284 1.2× 182 1.1× 45 2.0k
Douglas B. Kintner 1.1k 1.2× 942 1.1× 520 1.2× 232 1.0× 74 0.5× 53 2.1k
Christian Lohr 680 0.7× 938 1.1× 393 0.9× 170 0.7× 105 0.7× 74 1.9k
J. Hartmann 1.1k 1.2× 1.1k 1.2× 275 0.6× 251 1.1× 126 0.8× 47 2.0k
Kari R. Hoyt 1.1k 1.2× 1.0k 1.2× 205 0.5× 387 1.7× 140 0.9× 42 2.1k
Rochelle M. Hines 983 1.1× 1.2k 1.4× 347 0.8× 179 0.8× 332 2.1× 35 2.2k
Zsolt Csaba 786 0.9× 467 0.5× 227 0.5× 160 0.7× 121 0.8× 63 2.1k
Sandra H. Vaz 677 0.7× 711 0.8× 346 0.8× 289 1.3× 113 0.7× 55 1.6k

Countries citing papers authored by Rahul Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Srinivasan

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