Ken Terui

47 total papers · 718 total citations
35 papers, 574 citations indexed

About

Ken Terui is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Behavioral Neuroscience. According to data from OpenAlex, Ken Terui has authored 35 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 9 papers in Behavioral Neuroscience. Recurrent topics in Ken Terui's work include Pituitary Gland Disorders and Treatments (11 papers), Adrenal Hormones and Disorders (11 papers) and Hormonal Regulation and Hypertension (10 papers). Ken Terui is often cited by papers focused on Pituitary Gland Disorders and Treatments (11 papers), Adrenal Hormones and Disorders (11 papers) and Hormonal Regulation and Hypertension (10 papers). Ken Terui collaborates with scholars based in Japan and United States. Ken Terui's co-authors include Kazunori Kageyama, Toshihiro Suda, Takeshi Nigawara, Shigeru Motomura, Satoru Sakihara, Shinobu Takayasu, Makoto Daimon, Toshio Suda, N Horiba and Hiroshi Murakami and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Ken Terui

33 papers receiving 562 citations

Author Peers

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

Author Last Decade Papers Cites
Ken Terui 342 176 136 135 63 35 574
P.M. Horrocks 230 0.7× 90 0.5× 81 0.6× 137 1.0× 57 0.9× 24 556
Makoto Imamura 224 0.7× 83 0.5× 61 0.4× 96 0.7× 113 1.8× 37 512
C. R. Strakosch 370 1.1× 74 0.4× 45 0.3× 80 0.6× 88 1.4× 31 687
J. M. Thomas 177 0.5× 53 0.3× 128 0.9× 83 0.6× 60 1.0× 22 552
L Devilla 308 0.9× 67 0.4× 54 0.4× 60 0.4× 93 1.5× 43 591
L. Hummer 266 0.8× 83 0.5× 49 0.4× 72 0.5× 45 0.7× 28 693
H. Brauman 225 0.7× 158 0.9× 39 0.3× 84 0.6× 63 1.0× 41 646
P. J. A. MOULT 248 0.7× 63 0.4× 69 0.5× 49 0.4× 83 1.3× 21 645
Shinji Sawano 375 1.1× 48 0.3× 108 0.8× 69 0.5× 88 1.4× 38 569
Hitoshi Yanaihara 107 0.3× 221 1.3× 144 1.1× 105 0.8× 48 0.8× 33 511

Countries citing papers authored by Ken Terui

Since Specialization
Citations

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

Fields of papers citing papers by Ken Terui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Terui

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Terui. A scholar is included among the top collaborators of Ken Terui 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 Ken Terui. Ken Terui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026