S Yunoki

514 citations
22 papers · 441 · h-index 10

Impact in

Papers in

S Yunoki

22 papers receiving 403 citations

Peers

S Yunoki
Comparison fields: 5 of 62
  • Behavioral Neuroscience 93
  • Toxicology 78
  • Endocrinology, Diabetes and Metabolism 144
  • Biological Psychiatry 18
  • Endocrine and Autonomic Systems 49
Replace C. Salvestroni with:
C. Salvestroni Italy
Thomas H. Privette United States
David Lozovsky United States
Maja Franceschi Croatia
Jessica A. Siegel United States
Barton G. Weick United States
Carol R. Sterling United States
M. Criscuolo Italy
Carolyn J. Koonce United States
Shaefali P. Rodgers United States
S Yunoki relative to C. Salvestroni Italy C. Salvestroni's profile →
Citations per field
00.5×11.1×
C. Salvestroni · 1×
Citations per year

Countries citing papers authored by S Yunoki

Since Specialization
Citations

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

Fields of papers citing papers by S Yunoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S Yunoki, 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 S Yunoki Line = papers co-authored together S Yunoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977169
2 198055
3 198049
4 197835
5 197929
6 198018
7 197617
8 198013
9 197913
10 19819
11 19947
12 19784
13 19764
14 19793
15 19813
16 19813
17
[A case of pituitary hyperplasia associated with primary hypothyroidism].
19873
18 20082
19 19822
20
Effects of Monoamines of the Release of Corticotropin Releasing Factor in the Rat
19781

About S Yunoki

S Yunoki is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Physiology, Cellular and Molecular Neuroscience and Social Psychology, having authored 22 papers that have together received 441 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Pituitary Gland Disorders and Treatments (5 papers), Neuroendocrine regulation and behavior (4 papers), Adrenal Hormones and Disorders (4 papers), Diet and metabolism studies (4 papers), Adipose Tissue and Metabolism (3 papers), Biochemical effects in animals (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Behavioral Neuroscience (93 citations), Toxicology (78 citations), Endocrinology, Diabetes and Metabolism (144 citations), Biological Psychiatry (18 citations) and Endocrine and Autonomic Systems (49 citations). S Yunoki has collaborated with scholars based in Japan. Frequent co-authors include T Ofuji, Jiro Takahara, Yukio Yamane, Kozo Hashimoto, Jingo Kageyama, Norio Ogawa, J Takahara, Jun Yamauchi, Katsushi Hashimoto and Naoki Kageyama. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, Life Sciences, Experimental Biology and Medicine and Neuroendocrinology.

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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