Shinya S. Suzuki

742 citations
24 papers · 609 indexed · h-index 14
Topics
Neuroscience and Neuropharmacology Research (14 papers)Neural dynamics and brain function (11 papers)Memory and Neural Mechanisms (11 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Shinya S. Suzuki

23 papers receiving 598 citations

Peers

Shinya S. Suzuki
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 450
  • Cognitive Neuroscience 434
  • Molecular Biology 64
  • Neurology 56
  • Psychiatry and Mental health 50
Replace Subhash Saha with:
Subhash Saha United States
L Kellényi Hungary
Hoffer Bj
Maciej M. Jankowski Israel
Csaba Dávid Hungary
Rodrigo Neves Romcy-Pereira Brazil
Yasuhide Shinonaga Japan
Nathaniel A. Buchwald United States
Stephen B. Simons United States
Sylvie Pérez France
Shinya S. Suzuki relative to Subhash Saha United States Subhash Saha's profile →
Citations per field
00.5×1.5×1.9×
Subhash Saha · 1×
Citations per year

Countries citing papers authored by Shinya S. Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Shinya S. Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya S. Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya S. Suzuki. A scholar is included among the top collaborators of Shinya S. Suzuki 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 Shinya S. Suzuki. Shinya S. Suzuki 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 3
2 0
3 7
4 23
5 3
6 1
7 11
8 42
9 29
10 15
11 17
12 54
13 18
14 36
15 108
16 21
17 1
18 33
19 45
20 7

About Shinya S. Suzuki

Shinya S. Suzuki is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 24 papers that have together received 609 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neural dynamics and brain function (11 papers) and Memory and Neural Mechanisms (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (450 citations), Cognitive Neuroscience (434 citations) and Developmental Neuroscience (29 citations). Shinya S. Suzuki has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Grant K. Smith, J. M. Siegel, Hidekazu Kaneko, Motoyuki Akamatsu, Masatoshi Takita, J Okada, Hiroshi Tamura, Kunihiko Mabuchi, Hiroshi Fujioka and Tomoyo Ochiishi. Their work appears in journals such as Stroke, Brain Research and IEEE Transactions on Biomedical Engineering.

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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