Ken Terui

736 citations
35 papers · 583 · h-index 13

Impact in

Papers in

Ken Terui

35 papers receiving 573 citations

Peers

Ken Terui
Comparison fields: 5 of 78
  • Behavioral Neuroscience 170
  • Endocrinology, Diabetes and Metabolism 303
  • Biological Psychiatry 22
  • Physiology 110
  • Endocrine and Autonomic Systems 20
Replace Agostino Paoletta with:
Agostino Paoletta Italy
Kazumi Iino Japan
W. A. Ratcliffe United Kingdom
Patrick Roger France
Guido F. Sasso Italy
WM Drake United Kingdom
Deepashree Gupta United States
M. Hotta Japan
Antonio Martocchia Italy
N. S. BROWN United Kingdom
Ken Terui relative to Agostino Paoletta Italy Agostino Paoletta's profile →
Citations per field
00.5×2.6×
Agostino Paoletta · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ken Terui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Terui Line = papers co-authored together Ken Terui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200180
2 201677
3 200356
4 201749
5 201643
6 201242
7 200332
8 201028
9 200621
10 200217
11 201916
12 200815
13 201712
14 201311
15 20109
16 20099
17 20078
18 20048
19 20137
20 20207

About Ken Terui

Ken Terui is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Molecular Biology, Surgery and Physiology, having authored 35 papers that have together received 583 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Hormonal Regulation and Hypertension (10 papers), Adrenal Hormones and Disorders (8 papers), Stress Responses and Cortisol (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Adrenal and Paraganglionic Tumors (5 papers), Adipose Tissue and Metabolism (4 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Behavioral Neuroscience (170 citations), Endocrinology, Diabetes and Metabolism (303 citations), Biological Psychiatry (22 citations), Physiology (110 citations) and Endocrine and Autonomic Systems (20 citations). Ken Terui has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazunori Kageyama, Toshihiro Suda, Takeshi Nigawara, Satoru Sakihara, Shigeru Motomura, Shinobu Takayasu, Makoto Daimon, Toshio Suda, Hiroshi Murakami and Miyuki Yanagimachi. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Journal of the Renin-Angiotensin-Aldosterone System, Journal of Endocrinology and BMC Nephrology.

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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