Satoshi Suo

26 papers receiving 1.1k citations

Peers

Satoshi Suo
Comparison fields: 5 of 99
  • Aging 372
  • Endocrine and Autonomic Systems 281
  • Cellular and Molecular Neuroscience 359
  • Biological Psychiatry 39
  • Psychiatry and Mental health 158
Replace Rachel N. Arey with:
Rachel N. Arey United States
Tammy Jessen United States
Marlene Cervantes United States
Hidetoshi Komatsu Japan
Fumiyuki Hatanaka Japan
Julie S. Pendergast United States
Luoying Zhang China
James E. Madl United States
Ji Ying Sze United States
Balaji Krishnan United States
Satoshi Suo relative to Rachel N. Arey United States Rachel N. Arey's profile →
Citations per field
00.5×2.7×
Rachel N. Arey · 1×
Citations per year

Countries citing papers authored by Satoshi Suo

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001352
2 200695
3 201881
4 200375
5 200964
6 200562
7 200262
8 200437
9 201132
10 201630
11 201127
12 201125
13 201321
14 201320
15 201117
16 201416
17 201114
18 201514
19 199911
20 200911

About Satoshi Suo

Satoshi Suo is a scholar working on Endocrine and Autonomic Systems, Aging, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (13 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Neuroendocrine regulation and behavior (4 papers), Alzheimer's disease research and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (3 papers), Computational Drug Discovery Methods (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (372 citations), Endocrine and Autonomic Systems (281 citations), Cellular and Molecular Neuroscience (359 citations), Biological Psychiatry (39 citations) and Psychiatry and Mental health (158 citations). Satoshi Suo has collaborated with scholars based in Japan, Canada and Singapore. Frequent co-authors include Shoichi Ishiura, Noboru Sasagawa, Hubert H.M. Van Tol, Satoshi Fuke, Hisashi Koike, Naoki Takahashi, Yoshishige Kimura, Joseph G. Culotti, Takashi Nagashima and Kazuki Harada. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Neuroscience, PLoS ONE, Journal of Neurochemistry and Scientific Reports.

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.

Explore authors with similar magnitude of impact