Yaichiro Yukimura

35 total papers · 827 total citations
19 papers, 664 citations indexed

About

Yaichiro Yukimura is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Yaichiro Yukimura has authored 19 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Yaichiro Yukimura's work include Thyroid Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Hormonal Regulation and Hypertension (3 papers). Yaichiro Yukimura is often cited by papers focused on Thyroid Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Hormonal Regulation and Hypertension (3 papers). Yaichiro Yukimura collaborates with scholars based in Japan and United States. Yaichiro Yukimura's co-authors include George A. Bray, David A. York, Takashi Yamada, Masaki Ishihara, Masanobu Kotani, Toru Aizawa, Ichiro Komiya, Kohzy Hiramatsu, Kazuo Ichikawa and Takashi Yamada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Yaichiro Yukimura

18 papers receiving 601 citations

Author Peers

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

Author						Papers	Cites
Yaichiro Yukimura	304	281	141	98	96	19	664
John S. Cowan	368 1.2×	196 0.7×	67 0.5×	118 1.2×	134 1.4×	27	649
Lars P. Klieverik	325 1.1×	271 1.0×	244 1.7×	55 0.6×	139 1.4×	18	702
Aage Prange Hansen	475 1.6×	174 0.6×	94 0.7×	107 1.1×	153 1.6×	26	779
Cintia B. Ueta	346 1.1×	276 1.0×	125 0.9×	37 0.4×	142 1.5×	14	728
Tatsuya Ishizuka	215 0.7×	171 0.6×	124 0.9×	92 0.9×	117 1.2×	17	564
R. Rizza	484 1.6×	267 1.0×	84 0.6×	212 2.2×	237 2.5×	14	760
Maurizio Capelli	463 1.5×	143 0.5×	82 0.6×	103 1.1×	136 1.4×	28	779
Saraswathy Nair	239 0.8×	222 0.8×	39 0.3×	64 0.7×	117 1.2×	19	556
H. L. Lickley	239 0.8×	331 1.2×	54 0.4×	205 2.1×	179 1.9×	30	666
Nina Perwitz	149 0.5×	401 1.4×	126 0.9×	112 1.1×	198 2.1×	17	703

Countries citing papers authored by Yaichiro Yukimura

Since Specialization

Citations

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

Fields of papers citing papers by Yaichiro Yukimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaichiro Yukimura

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