YOICHI KASHIO

19 total papers · 528 total citations
18 papers, 453 citations indexed

About

YOICHI KASHIO is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, YOICHI KASHIO has authored 18 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in YOICHI KASHIO's work include Growth Hormone and Insulin-like Growth Factors (12 papers), Regulation of Appetite and Obesity (5 papers) and Pituitary Gland Disorders and Treatments (5 papers). YOICHI KASHIO is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (12 papers), Regulation of Appetite and Obesity (5 papers) and Pituitary Gland Disorders and Treatments (5 papers). YOICHI KASHIO collaborates with scholars based in Japan, United States and Canada. YOICHI KASHIO's co-authors include Tetsuya Kita, Yasuhiko Okimura, Takuo Fujita, Kazuo Chihara, Hidesuke Kaji, Hiromi Abe, Naoto Minamitani, Thomas R. Downs, Lawrence A. Frohman and Kazuo Chihara and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and European Journal of Endocrinology.

In The Last Decade

YOICHI KASHIO

18 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
YOICHI KASHIO	294	131	93	78	75	18	453
Donald R. Martinson	197 0.7×	183 1.4×	104 1.1×	103 1.3×	99 1.3×	14	466
S. Hojvat	240 0.8×	111 0.8×	99 1.1×	96 1.2×	95 1.3×	14	446
YUZURU KATO	252 0.9×	178 1.4×	109 1.2×	94 1.2×	75 1.0×	14	423
Yutaka Taniguchi	157 0.5×	88 0.7×	123 1.3×	65 0.8×	86 1.1×	23	424
J. B. Baumann	214 0.7×	100 0.8×	56 0.6×	52 0.7×	81 1.1×	30	516
Ping Wu	190 0.6×	52 0.4×	100 1.1×	77 1.0×	114 1.5×	19	472
C Y Bowers	243 0.8×	102 0.8×	182 2.0×	89 1.1×	103 1.4×	14	510
Aihua Cai	141 0.5×	107 0.8×	216 2.3×	76 1.0×	78 1.0×	18	449
Yoshiko Iwasaki	207 0.7×	244 1.9×	91 1.0×	121 1.6×	91 1.2×	9	437
M.B. Nikitovitch-Winer	238 0.8×	45 0.3×	58 0.6×	153 2.0×	89 1.2×	23	507

Countries citing papers authored by YOICHI KASHIO

Since Specialization

Citations

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

Fields of papers citing papers by YOICHI KASHIO

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of YOICHI KASHIO

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