Deepak R. Thakker

26 total papers · 1.2k total citations
19 papers, 952 citations indexed

About

Deepak R. Thakker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Deepak R. Thakker has authored 19 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Deepak R. Thakker's work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers) and RNA Interference and Gene Delivery (4 papers). Deepak R. Thakker is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers) and RNA Interference and Gene Delivery (4 papers). Deepak R. Thakker collaborates with scholars based in United States, Switzerland and Ireland. Deepak R. Thakker's co-authors include Daniël Hoyer, John F. Cryan, Kelly M. Standifer, Herman van der Putten, François Natt, Rainer Maier, Dieter Hüsken, Marcy R. Weatherspoon, William F. Kaemmerer and Matthias Müller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Brain.

In The Last Decade

Deepak R. Thakker

19 papers receiving 928 citations

Author Peers

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

Author Last Decade Papers Cites
Deepak R. Thakker 634 502 204 119 81 19 952
Kimberly F. Raab‐Graham 820 1.3× 550 1.1× 163 0.8× 91 0.8× 117 1.4× 34 1.2k
Yanmei Tao 733 1.2× 465 0.9× 104 0.5× 86 0.7× 103 1.3× 20 1.2k
Tatjana Yakovleva 702 1.1× 362 0.7× 117 0.6× 70 0.6× 57 0.7× 25 1.1k
Kusumika Gharami 482 0.8× 485 1.0× 128 0.6× 81 0.7× 80 1.0× 13 1.0k
Hisatsugu Koshimizu 560 0.9× 621 1.2× 141 0.7× 96 0.8× 86 1.1× 34 1.2k
Stylianos Kosmidis 582 0.9× 263 0.5× 250 1.2× 73 0.6× 83 1.0× 23 1.2k
R. Dayne Mayfield 608 1.0× 635 1.3× 129 0.6× 119 1.0× 93 1.1× 27 1.2k
Simon Pieraut 527 0.8× 358 0.7× 270 1.3× 100 0.8× 77 1.0× 19 928
Mireille Daigle 509 0.8× 346 0.7× 115 0.6× 95 0.8× 152 1.9× 24 994
Alison M. Beckmann 550 0.9× 718 1.4× 133 0.7× 112 0.9× 149 1.8× 10 1.1k

Countries citing papers authored by Deepak R. Thakker

Since Specialization
Citations

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

Fields of papers citing papers by Deepak R. Thakker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak R. Thakker. 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 Deepak R. Thakker. The network helps show where Deepak R. Thakker may publish in the future.

Co-authorship network of co-authors of Deepak R. Thakker

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak R. Thakker. A scholar is included among the top collaborators of Deepak R. Thakker 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 Deepak R. Thakker. Deepak R. Thakker 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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2026