Tokio Sugai

1.1k total citations
50 papers, 913 citations indexed

About

Tokio Sugai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Tokio Sugai has authored 50 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cellular and Molecular Neuroscience, 23 papers in Cognitive Neuroscience and 22 papers in Sensory Systems. Recurrent topics in Tokio Sugai's work include Neuroscience and Neuropharmacology Research (25 papers), Neural dynamics and brain function (19 papers) and Olfactory and Sensory Function Studies (19 papers). Tokio Sugai is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Neural dynamics and brain function (19 papers) and Olfactory and Sensory Function Studies (19 papers). Tokio Sugai collaborates with scholars based in Japan, China and United States. Tokio Sugai's co-authors include Norihiko Onoda, Michio Sugitani, Nobuo Kato, Hiroshi Yoshimura, Ryo Yamamoto, Hiroshi Ooyama, Natsuki Segami, Furong Wang, Li Wang and Zhengda Wang and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Brain Research.

In The Last Decade

Tokio Sugai

49 papers receiving 906 citations

Peers

Tokio Sugai
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 582
  • Sensory Systems 316
  • Cognitive Neuroscience 302
  • Molecular Biology 233
  • Nutrition and Dietetics 196
Replace Aaron R. Best with:
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Sabine Frey Germany
Sherry L. Feig United States
Norihiko Onoda Japan
Yasunobu Yasoshima Japan
Anan Li China
Mark D. Eyre Hungary
Marco J. Russo United States
Yoko Momose‐Sato Japan
Aaron R. Best United States View profile →
Citations per field, relative to Tokio Sugai
Tokio Sugai · 1×
Citations per year, relative to Tokio Sugai
Tokio Sugai · 1×

Countries citing papers authored by Tokio Sugai

Since Specialization
Citations

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

Fields of papers citing papers by Tokio Sugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tokio Sugai

This figure shows the co-authorship network connecting the top 25 collaborators of Tokio Sugai. A scholar is included among the top collaborators of Tokio Sugai 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 Tokio Sugai. Tokio Sugai 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
# Work Indexed citations
1 8
2 9
3 1
4 16
5 3
6 12
7 12
8 19
9 81
10 0
11 1
12 4
13 35
14 19
15 27
16 32
17 34
18 18
19 46
20 2

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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