Ken‐ichi Inoue

9.4k citations
180 papers · 5.4k indexed · 1 hit paper · h-index 35
Topics
Neural dynamics and brain function (24 papers)Neuroscience and Neuropharmacology Research (23 papers)Virus-based gene therapy research (14 papers)

In The Last Decade

Ken‐ichi Inoue

170 papers receiving 5.3k citations

Hit Papers

The Hippo Signaling Pathway Components Lats and Yap Patte...20092026201420202009250500750

Peers

Ken‐ichi Inoue
Comparison fields: 5 of 153
  • Molecular Biology 2.7k
  • Cell Biology 824
  • Cellular and Molecular Neuroscience 813
  • Cognitive Neuroscience 681
  • Genetics 547
Replace Kiyoshi Kawakami with:
Kiyoshi Kawakami Japan
Karthik Shekhar United States
John A. Mercer United States
Amy Bernard United States
Asako Sakaue‐Sawano Japan
Yannick Schwab Germany
Dianqing Wu United States
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Erik M. M. Manders Netherlands
Karen Anderson United States
Ken‐ichi Inoue relative to Kiyoshi Kawakami Japan Kiyoshi Kawakami's profile →
Citations per field
00.5×3.0×
Kiyoshi Kawakami · 1×
Citations per year

Countries citing papers authored by Ken‐ichi Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichi Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Inoue. 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 Ken‐ichi Inoue. The network helps show where Ken‐ichi Inoue may publish in the future.

Co-authorship network of co-authors of Ken‐ichi Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Inoue. A scholar is included among the top collaborators of Ken‐ichi Inoue 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 Ken‐ichi Inoue. Ken‐ichi Inoue 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 4
3 18
4 51
5 24
6 12
7 1
8 8
9 30
10 22
11 7
12 94
13 20
14 122
15 4
16 17
17 56
18
Evaluation of cardiovascular circadian rhythm in patients with Parkinson's disease
1
19 48
20 8

About Ken‐ichi Inoue

Ken‐ichi Inoue is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 180 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Neuroscience and Neuropharmacology Research (23 papers) and Virus-based gene therapy research (14 papers). The work is most often cited by research in Cell Biology (824 citations), Cellular and Molecular Neuroscience (813 citations) and Virology (208 citations). Ken‐ichi Inoue has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Masahiko Takada, Yoshiaki Ito, Kazuki Nakao, Hiroshi Kiyonari, Kosei Ito, Hiroshi Sasaki, Shino Hirahara, Shinichi Aizawa, Takashi Shiga and Robert O. Stephenson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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