Ken Terui

727 citations
35 papers · 579 · h-index 13

Impact in

Papers in

    • Pituitary Gland Disorders and Treatments 11
    • Adrenal Hormones and Disorders 11
    • Hormonal Regulation and Hypertension 10
    • Growth Hormone and Insulin-like Growth Factors 7
    • Adrenal and Paraganglionic Tumors 8

Ken Terui

34 papers receiving 568 citations

Peers

Ken Terui
Comparison fields: 5 of 86
  • Behavioral Neuroscience 177
  • Endocrinology, Diabetes and Metabolism 344
  • Biological Psychiatry 23
  • Physiology 138
  • Endocrine and Autonomic Systems 24
Replace Agostino Paoletta with:
Agostino Paoletta Italy
Deepashree Gupta United States
Hitoshi Yanaihara Japan
P. Bouloux United Kingdom
Nicholas G. Baranetsky United States
W. A. Ratcliffe United Kingdom
R. S. Perlstein United States
Emre Yıldırım Türkiye
N. S. BROWN United Kingdom
Blandine Gatta France
Ken Terui relative to Agostino Paoletta Italy Agostino Paoletta's profile →
Citations per field
00.5×1.5×2.1×
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 201676
3 200356
4 201749
5 201642
6 201242
7 200332
8 201028
9 200621
10 200217
11 201916
12 200815
13 201712
14 201310
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, Surgery, Behavioral Neuroscience, Molecular Biology and Physiology, having authored 35 papers that have together received 579 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Adrenal Hormones and Disorders (11 papers), Hormonal Regulation and Hypertension (10 papers), Stress Responses and Cortisol (9 papers), Adrenal and Paraganglionic Tumors (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Adipose Tissue and Metabolism (4 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Behavioral Neuroscience (177 citations), Endocrinology, Diabetes and Metabolism (344 citations), Biological Psychiatry (23 citations), Physiology (138 citations) and Endocrine and Autonomic Systems (24 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 N Horiba. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Scientific Reports, Neurologia medico-chirurgica and Endocrinology.

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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