Naoki Yoshimura

51 total papers · 784 total citations
30 papers, 616 citations indexed

About

Naoki Yoshimura is a scholar working on Urology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Naoki Yoshimura has authored 30 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Urology, 9 papers in Physiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Naoki Yoshimura's work include Urinary Bladder and Prostate Research (12 papers), Pain Mechanisms and Treatments (9 papers) and Herpesvirus Infections and Treatments (4 papers). Naoki Yoshimura is often cited by papers focused on Urinary Bladder and Prostate Research (12 papers), Pain Mechanisms and Treatments (9 papers) and Herpesvirus Infections and Treatments (4 papers). Naoki Yoshimura collaborates with scholars based in United States and Japan. Naoki Yoshimura's co-authors include Joseph C. Glorioso, William F. Goins, Michael B. Chancellor, William C. de Groat, James R. Goss, Katsumi Sasaki, Michael W. Phelan, Darren Wolfe, Nelson Bennett and Matthew O. Fraser and has published in prestigious journals such as Diabetes, Biochemical and Biophysical Research Communications and The Journal of Urology.

In The Last Decade

Naoki Yoshimura

28 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Naoki Yoshimura	280	142	131	120	112	30	616
K Venkateswarlu	189 0.7×	112 0.8×	42 0.3×	109 0.9×	178 1.6×	46	609
Gerald P. McCafferty	113 0.4×	98 0.7×	178 1.4×	36 0.3×	179 1.6×	29	606
Tim Robson	86 0.3×	56 0.4×	98 0.7×	144 1.2×	98 0.9×	13	647
Ana Cristina Martı́nez	167 0.6×	194 1.4×	88 0.7×	139 1.2×	110 1.0×	42	657
Nancy S. Day	220 0.8×	80 0.6×	67 0.5×	165 1.4×	200 1.8×	27	547
Ángeles García-Pascual	284 1.0×	281 2.0×	81 0.6×	65 0.5×	114 1.0×	41	606
Tae-Kon Hwang	405 1.4×	56 0.4×	62 0.5×	134 1.1×	107 1.0×	25	680
B. Frias	284 1.0×	160 1.1×	73 0.6×	87 0.7×	47 0.4×	21	607
Zhiguo Tang	148 0.5×	48 0.3×	20 0.2×	97 0.8×	136 1.2×	26	619
Arne Nergårdh	298 1.1×	56 0.4×	91 0.7×	124 1.0×	33 0.3×	24	530

Countries citing papers authored by Naoki Yoshimura

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Yoshimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Yoshimura

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