Hiroshi Arima

261 papers receiving 4.4k citations

Peers

Hiroshi Arima
Comparison fields: 5 of 155
  • Endocrine and Autonomic Systems 828
  • Behavioral Neuroscience 267
  • Cellular and Molecular Neuroscience 590
  • Endocrinology, Diabetes and Metabolism 492
  • Developmental Neuroscience 114
Replace Takashi Suzuki with:
Takashi Suzuki Japan
John S. Torday United States
Paul A. Smith United Kingdom
David J. Singel United States
Tomio Inoue Japan
Jirô Suzuki Japan
Geoffrey D. Clarke United States
Kazuo Watanabe Japan
Ravinder Reddy United States
David I. Finkelstein Australia
Hiroshi Arima relative to Takashi Suzuki Japan Takashi Suzuki's profile →
Citations per field
00.5×6.5×
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-authors

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

Showing the 20 most-cited of 270 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 2008106
3 199699
4 201595
5 200794
6 201584
7 200583
8 200178
9 201276
10 201971
11 200663
12 202161
13 202060
14 200058
15 201756
16 202255
17 199654
18 199854
19 201850
20 201450

About Hiroshi Arima

Hiroshi Arima is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Social Psychology, Materials Chemistry and Endocrinology, Diabetes and Metabolism, having authored 270 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (42 papers), Electrolyte and hormonal disorders (34 papers), Regulation of Appetite and Obesity (33 papers), High-pressure geophysics and materials (30 papers), Pancreatic function and diabetes (22 papers), X-ray Diffraction in Crystallography (18 papers), Ion Transport and Channel Regulation (16 papers) and Biochemical Analysis and Sensing Techniques (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (828 citations), Behavioral Neuroscience (267 citations), Cellular and Molecular Neuroscience (590 citations), Endocrinology, Diabetes and Metabolism (492 citations) and Developmental Neuroscience (114 citations). Hiroshi Arima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yutaka Oiso, Shintaro Iwama, Hiroshi Nagasaki, Motomitsu Goto, Yoshihisa Sugimura, Ryoichi Banno, Takashi Murase, Kunïkazu Kondo, Hidetaka Suga and Nobuaki Ozaki. Their work appears in journals such as Endocrinology, Journal of Mineralogical and Petrological Sciences, Scientific Reports, American Journal of Physiology-Endocrinology and Metabolism and Peptides.

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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