Darryl T. Hamamoto

28 total papers · 721 total citations
20 papers, 550 citations indexed

About

Darryl T. Hamamoto is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Darryl T. Hamamoto has authored 20 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Darryl T. Hamamoto's work include Pain Mechanisms and Treatments (10 papers), Cannabis and Cannabinoid Research (3 papers) and Pediatric Pain Management Techniques (3 papers). Darryl T. Hamamoto is often cited by papers focused on Pain Mechanisms and Treatments (10 papers), Cannabis and Cannabinoid Research (3 papers) and Pediatric Pain Management Techniques (3 papers). Darryl T. Hamamoto collaborates with scholars based in United States, Qatar and Thailand. Darryl T. Hamamoto's co-authors include Donald A. Simone, George L. Wilcox, Brian L. Schmidt, Sergey G. Khasabov, Catherine Harding-Rose, Lois J. Kehl, Paul W. Wacnik, Keith C. Kajander, David M. Cain and James S. Hodges and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Brain Research.

In The Last Decade

Darryl T. Hamamoto

19 papers receiving 538 citations

Author Peers

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

Author Last Decade Papers Cites
Darryl T. Hamamoto 285 140 133 121 99 20 550
Nava Blumen 264 0.9× 104 0.7× 164 1.2× 107 0.9× 43 0.4× 16 558
Linda M. Pedersen 253 0.9× 74 0.5× 268 2.0× 65 0.5× 37 0.4× 28 559
Lucy Gee 226 0.8× 120 0.9× 87 0.7× 33 0.3× 102 1.0× 30 558
Christine L. Weisshaar 287 1.0× 118 0.8× 173 1.3× 57 0.5× 77 0.8× 25 618
Maarten Swartjes 290 1.0× 62 0.4× 167 1.3× 43 0.4× 62 0.6× 13 480
Mélanie Kremer 394 1.4× 160 1.1× 123 0.9× 122 1.0× 53 0.5× 12 574
Alberto Subieta 320 1.1× 134 1.0× 49 0.4× 98 0.8× 51 0.5× 16 591
Glenn Hægerstam 270 0.9× 99 0.7× 79 0.6× 71 0.6× 39 0.4× 29 512
Julia Forstenpointner 279 1.0× 104 0.7× 142 1.1× 36 0.3× 35 0.4× 33 544
Erkki Jyväsjärvi 309 1.1× 206 1.5× 36 0.3× 84 0.7× 43 0.4× 26 587

Countries citing papers authored by Darryl T. Hamamoto

Since Specialization
Citations

This map shows the geographic impact of Darryl T. Hamamoto'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 Darryl T. Hamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl T. Hamamoto more than expected).

Fields of papers citing papers by Darryl T. Hamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darryl T. Hamamoto. 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 Darryl T. Hamamoto. The network helps show where Darryl T. Hamamoto may publish in the future.

Co-authorship network of co-authors of Darryl T. Hamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Darryl T. Hamamoto. A scholar is included among the top collaborators of Darryl T. Hamamoto 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 Darryl T. Hamamoto. Darryl T. Hamamoto 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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