Shun Kondo

65 total papers · 444 total citations
38 papers, 359 citations indexed

About

Shun Kondo is a scholar working on Urology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shun Kondo has authored 38 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Urology, 10 papers in Molecular Biology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shun Kondo's work include Urinary Bladder and Prostate Research (13 papers), Receptor Mechanisms and Signaling (7 papers) and Hormonal and reproductive studies (7 papers). Shun Kondo is often cited by papers focused on Urinary Bladder and Prostate Research (13 papers), Receptor Mechanisms and Signaling (7 papers) and Hormonal and reproductive studies (7 papers). Shun Kondo collaborates with scholars based in Japan, United States and Finland. Shun Kondo's co-authors include Takashi Morita, Robert M. Weiss, Jamshid Latifpour, Angelo E. Gousse, Hiroyuki Iizuka, Yohtalou Tashima, Fumiaki Hata, Hideharu Ishida, Seigi Tsuchida and Shigeru Hirano and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Shun Kondo

36 papers receiving 342 citations

Author Peers

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

Author						Papers	Cites
Shun Kondo	181	119	99	65	58	38	359
Hironori Yuyama	166 0.9×	85 0.7×	123 1.2×	42 0.6×	51 0.9×	28	372
E. Marcel van Gelderen	54 0.3×	86 0.7×	102 1.0×	41 0.6×	26 0.4×	19	368
Tatsuya Ihara	91 0.5×	110 0.9×	98 1.0×	14 0.2×	27 0.5×	28	349
Stephanie L. Daugherty	167 0.9×	95 0.8×	105 1.1×	48 0.7×	7 0.1×	23	357
Young Sam Cho	141 0.8×	66 0.6×	32 0.3×	34 0.5×	43 0.7×	37	365
Zhijun Lin	45 0.2×	106 0.9×	72 0.7×	43 0.7×	14 0.2×	26	347
Yoshiyuki Ishiura	218 1.2×	27 0.2×	62 0.6×	44 0.7×	11 0.2×	27	325
Ke Liu	45 0.2×	141 1.2×	34 0.3×	29 0.4×	14 0.2×	28	354
Hai‐Lei Zhu	29 0.2×	210 1.8×	103 1.0×	70 1.1×	16 0.3×	24	388
Manabu Kamiyama	96 0.5×	103 0.9×	67 0.7×	9 0.1×	15 0.3×	31	346

Countries citing papers authored by Shun Kondo

Since Specialization

Citations

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

Fields of papers citing papers by Shun Kondo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Kondo

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