Satoshi Yuki

2.2k citations
24 papers · 1.9k indexed · h-index 15
Topics
Amyotrophic Lateral Sclerosis Research (6 papers)Electron Spin Resonance Studies (5 papers)Free Radicals and Antioxidants (5 papers)

In The Last Decade

Satoshi Yuki

21 papers receiving 1.9k citations

Peers

Satoshi Yuki
Comparison fields: 5 of 106
  • Molecular Biology 482
  • Neurology 401
  • Neurology 398
  • Organic Chemistry 372
  • Physiology 320
Replace Tim Ashwood with:
Tim Ashwood Sweden
Grigory G. Borisenko United States
Susana Cardoso Portugal
Martyn A. Sharpe United Kingdom
Kristine M. Robinson United States
Carolyn M. Porteous New Zealand
R L Chase United States
Mayumi Yamato Japan
Xingmiao Chen Hong Kong
Victoria C. Stewart United Kingdom
Satoshi Yuki relative to Tim Ashwood Sweden Tim Ashwood's profile →
Citations per field
00.5×4.7×
Tim Ashwood · 1×
Citations per year

Countries citing papers authored by Satoshi Yuki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Yuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Yuki

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yuki. A scholar is included among the top collaborators of Satoshi Yuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satoshi Yuki. Satoshi Yuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 179
4 24
5 34
6 32
7 21
8 0
9 23
10 4
11 55
12
General pharmacological studies of 3-methyl-1-phenyl-2-pyrazolin-5-one (MCI-186), a novel radical scavenging agent
7
13 2
14 190
15
Effects of a novel free radical scavenger, MCl-186, on ischemic brain damage in the rat distal middle cerebral artery occlusion model.
205
16 36
17 414
18 150
19 4
20 325

About Satoshi Yuki

Satoshi Yuki is a scholar working on Biophysics, Neurology and Biochemistry, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Electron Spin Resonance Studies (5 papers) and Free Radicals and Antioxidants (5 papers). The work is most often cited by research in Neurology (398 citations), Biophysics (156 citations) and Neurology (401 citations). Satoshi Yuki has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Toshiaki Watanabe, Kyuya Kogure, Hideyuki Nishi, K. Abe, Mariko Egawa, Kenichi Saito, Kazutoshi Watanabe, Masahiko Tanaka, Manabu Hirai and Yorihiro Yamamoto. Their work appears in journals such as Stroke, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

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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