Hiroshi Arima

255 papers receiving 4.3k citations

Peers

Hiroshi Arima
Comparison fields: 5 of 156
  • Endocrine and Autonomic Systems 868
  • Behavioral Neuroscience 280
  • Endocrinology, Diabetes and Metabolism 572
  • Cellular and Molecular Neuroscience 611
  • Developmental Neuroscience 117
Replace Takashi Suzuki with:
Takashi Suzuki Japan
Paul A. Smith United Kingdom
John S. Torday United States
Franck Delaunay France
David J. Singel United States
Tomio Inoue Japan
Masaki Ueno Japan
Geoffrey D. Clarke United States
Jirô Suzuki Japan
Michael J. Sole Canada
Hiroshi Arima relative to Takashi Suzuki Japan Takashi Suzuki's profile →
Citations per field
00.5×6.4×
Takashi Suzuki · 1×
Citations per year

Countries citing papers authored by Hiroshi Arima

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Arima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hiroshi Arima, 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 Hiroshi Arima Line = papers co-authored together Hiroshi Arima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20245
5 20231
6 20231
7 20223
8 20222
9 20221
10 202223
11 20223
12 20214
13 202018
14 20209
15 20193
16 201820
17 20187
18 2018119
19 201517
20 19985

About Hiroshi Arima

Hiroshi Arima is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience, Aging, Developmental Neuroscience and Geophysics, having authored 268 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (42 papers), Regulation of Appetite and Obesity (34 papers), Electrolyte and hormonal disorders (34 papers), High-pressure geophysics and materials (30 papers), Pancreatic function and diabetes (28 papers), X-ray Diffraction in Crystallography (18 papers), Ion Transport and Channel Regulation (16 papers) and Pituitary Gland Disorders and Treatments (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (868 citations), Behavioral Neuroscience (280 citations), Endocrinology, Diabetes and Metabolism (572 citations), Cellular and Molecular Neuroscience (611 citations) and Developmental Neuroscience (117 citations). Hiroshi Arima has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yutaka Oiso, Shintaro Iwama, Hiroshi Nagasaki, Motomitsu Goto, Yoshihisa Sugimura, Ryoichi Banno, Takashi Murase, Kunïkazu Kondo, Hidetaka Suga and Ikuko Sato. Their work appears in journals such as Endocrinology, Journal of Mineralogical and Petrological Sciences, Scientific Reports, Peptides and American Journal of Physiology-Endocrinology and Metabolism.

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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