Ryan F. Yoshimura

31 total papers · 530 total citations
26 papers, 421 citations indexed

About

Ryan F. Yoshimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ryan F. Yoshimura has authored 26 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Ryan F. Yoshimura's work include Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (9 papers) and Receptor Mechanisms and Signaling (6 papers). Ryan F. Yoshimura is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (9 papers) and Receptor Mechanisms and Signaling (6 papers). Ryan F. Yoshimura collaborates with scholars based in United States, Denmark and Australia. Ryan F. Yoshimura's co-authors include Derk J. Hogenkamp, Kelvin W. Gee, Minhtam Tran, Timothy Johnstone, Edward R. Whittemore, James D. Belluzzi, Geoffrey W. Abbott, Amal Alachkar, Richard E. Kanner and Ronald Paquette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The FASEB Journal.

In The Last Decade

Ryan F. Yoshimura

26 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Ryan F. Yoshimura	245	165	57	43	36	26	421
Kyu Suk Cho	127 0.5×	81 0.5×	40 0.7×	83 1.9×	32 0.9×	24	459
Hirofumi Tokuoka	184 0.8×	206 1.2×	64 1.1×	58 1.3×	18 0.5×	23	457
Tomoko Kuno	321 1.3×	274 1.7×	23 0.4×	37 0.9×	21 0.6×	17	487
Shubha Shukla	182 0.7×	141 0.9×	39 0.7×	55 1.3×	13 0.4×	14	452
Beatrice Garrone	182 0.7×	151 0.9×	36 0.6×	49 1.1×	57 1.6×	25	430
Takuya Kawanai	137 0.6×	109 0.7×	77 1.4×	50 1.2×	17 0.5×	24	479
Gisela Kindel	155 0.6×	212 1.3×	56 1.0×	44 1.0×	9 0.3×	27	478
Akito Nakao	140 0.6×	111 0.7×	29 0.5×	42 1.0×	15 0.4×	26	400
Shu-Hui Chuang	187 0.8×	186 1.1×	44 0.8×	30 0.7×	23 0.6×	13	435
Yoshihisa Ito	202 0.8×	270 1.6×	48 0.8×	45 1.0×	8 0.2×	26	434

Countries citing papers authored by Ryan F. Yoshimura

Since Specialization

Citations

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

Fields of papers citing papers by Ryan F. Yoshimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan F. Yoshimura. 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 Ryan F. Yoshimura. The network helps show where Ryan F. Yoshimura may publish in the future.

Co-authorship network of co-authors of Ryan F. Yoshimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan F. Yoshimura. A scholar is included among the top collaborators of Ryan F. Yoshimura 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 Ryan F. Yoshimura. Ryan F. Yoshimura 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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