Darryl S. Inaba

24 total papers · 614 total citations
17 papers, 402 citations indexed

About

Darryl S. Inaba is a scholar working on Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Psychiatry and Mental health. According to data from OpenAlex, Darryl S. Inaba has authored 17 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Psychiatry and Mental health. Recurrent topics in Darryl S. Inaba's work include Neurotransmitter Receptor Influence on Behavior (3 papers), Epilepsy research and treatment (3 papers) and Opioid Use Disorder Treatment (3 papers). Darryl S. Inaba is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (3 papers), Epilepsy research and treatment (3 papers) and Opioid Use Disorder Treatment (3 papers). Darryl S. Inaba collaborates with scholars based in United States and Hungary. Darryl S. Inaba's co-authors include George R. Gay, Andrea Morrison, Jack W. Berry, Lynn E. O’Connor, Joseph Weiss, C. W. Sheppard, G R Gray, John A. Newmeyer, Walter J. Decker and John Femino and has published in prestigious journals such as New England Journal of Medicine, JAMA and Anesthesia & Analgesia.

In The Last Decade

Darryl S. Inaba

17 papers receiving 353 citations

Author Peers

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

Author						Papers	Cites
Darryl S. Inaba	105	98	67	61	58	17	402
Nancy C. Brahm	67 0.6×	73 0.7×	64 1.0×	31 0.5×	57 1.0×	50	432
Diana J. Walker	39 0.4×	58 0.6×	91 1.4×	36 0.6×	43 0.7×	23	411
Jon Mordal	72 0.7×	102 1.0×	51 0.8×	65 1.1×	39 0.7×	22	353
Keith Flower	50 0.5×	61 0.6×	142 2.1×	104 1.7×	76 1.3×	10	337
M Grassi	42 0.4×	51 0.5×	75 1.1×	42 0.7×	38 0.7×	42	436
Paula Rosca	35 0.3×	205 2.1×	44 0.7×	70 1.1×	72 1.2×	25	423
Christine Goodair	178 1.7×	115 1.2×	79 1.2×	65 1.1×	72 1.2×	23	381
Rachel B. Geyer	35 0.3×	54 0.6×	26 0.4×	75 1.2×	36 0.6×	13	359
Todd W. Estroff	26 0.2×	177 1.8×	94 1.4×	103 1.7×	61 1.1×	16	432
Steven E. Lerner	39 0.4×	55 0.6×	139 2.1×	40 0.7×	39 0.7×	21	399

Countries citing papers authored by Darryl S. Inaba

Since Specialization

Citations

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

Fields of papers citing papers by Darryl S. Inaba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darryl S. Inaba

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