Kosei Sasaki

466 citations
18 papers · 357 indexed · h-index 11
Topics
Neurobiology and Insect Physiology Research (12 papers)Neural dynamics and brain function (5 papers)Neuropeptides and Animal Physiology (5 papers)
Partner nations
United StatesJapanRussia

In The Last Decade

Kosei Sasaki

17 papers receiving 353 citations

Peers

Kosei Sasaki
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 243
  • Cognitive Neuroscience 135
  • Molecular Biology 72
  • Ecology, Evolution, Behavior and Systematics 57
  • Social Psychology 36
Replace Yuriy Zhurov with:
Yuriy Zhurov United States
Irina V. Orekhova United States
Juan Carlos Jorge-Rivera United States
Maxim Nikitchenko United States
Kristine E. Kolkman United States
Poh Kheng Loi United States
Victor N. Ierusalimsky Russia
Kevin S. J. Thompson United Kingdom
Andrew A. George United States
Simone Temporal United States
Kosei Sasaki relative to Yuriy Zhurov United States Yuriy Zhurov's profile →
Citations per field
00.5×4.5×
Yuriy Zhurov · 1×
Citations per year

Countries citing papers authored by Kosei Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Kosei Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosei Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Kosei Sasaki. A scholar is included among the top collaborators of Kosei Sasaki 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 Kosei Sasaki. Kosei Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 9
3 19
4 0
5 23
6 29
7 8
8 43
9 37
10 17
11 18
12 19
13 86
14 3
15 15
16 7
17 4
18 19

About Kosei Sasaki

Kosei Sasaki is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Polymers and Plastics, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Neural dynamics and brain function (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (243 citations), Cognitive Neuroscience (135 citations) and Endocrine and Autonomic Systems (20 citations). Kosei Sasaki has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Jian Jing, Klaudiusz R. Weiss, Ferdinand S. Vilim, Jonathan V. Sweedler, Vera Alexeeva, Michael R. Due, Vladimír Březina, Nathan G. Hatcher, Elizabeth C. Cropper and Yuriy Zhurov. Their work appears in journals such as Advanced Materials, Journal of Neuroscience and PLoS ONE.

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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