Shinsuke Kaku

424 total citations
19 papers, 355 citations indexed

About

Shinsuke Kaku is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Shinsuke Kaku has authored 19 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Oncology. Recurrent topics in Shinsuke Kaku's work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (5 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Shinsuke Kaku is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (5 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Shinsuke Kaku collaborates with scholars based in Japan and United States. Shinsuke Kaku's co-authors include Molly Kulesz‐Martin, Sadao Shiosaka, Hideki Tamura, S. Yoshida, Yasuyuki Ishikawa, Makoto Tanaka, Masanori Sugimoto, Shigeyuki Chaki, Makoto Yoshimoto and S. Otomo and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physiology and Brain Research.

In The Last Decade

Shinsuke Kaku

19 papers receiving 346 citations

Peers

Shinsuke Kaku
Comparison fields: 5 of 74
  • Molecular Biology 184
  • Oncology 85
  • Cellular and Molecular Neuroscience 78
  • Physiology 50
  • Pharmacology 43
Replace Sang Min Lee with:
Sang Min Lee South Korea
Winnie Jeng Canada
Yimin Jiang China
Tiesong Shang United States
Natalia Fernández Argentina
A. Costa Italy
Federica Briatore Italy
Rebecca Salmonsen United States
Jie Xiong China
P. Homayoun France
Sang Min Lee South Korea View profile →
Citations per field, relative to Shinsuke Kaku
Shinsuke Kaku · 1×
Citations per year, relative to Shinsuke Kaku
Shinsuke Kaku · 1×

Countries citing papers authored by Shinsuke Kaku

Since Specialization
Citations

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

Fields of papers citing papers by Shinsuke Kaku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinsuke Kaku

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 17
2 11
3 13
4 4
5 20
6 15
7 4
8 37
9 2
10 20
11 76
12
Effects of chronic treatment with caffeine on behaviour and related parameters in male and female mice.
1
13 6
14 19
15
Wild-type and mutant forms of p53 activate human topoisomerase I: a possible mechanism for gain of function in mutants.
65
16 28
17 11
18 1
19 5

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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