Ken‐ichi Inoue

9.4k citations
180 papers · 5.4k indexed · 1 hit paper · h-index 35

Ken‐ichi Inoue

170 papers receiving 5.3k citations

Hit Papers

The Hippo Signaling Pathway Components Lats and Yap Patte...8122009202620142020250500750

Peers

Ken‐ichi Inoue
Comparison fields: 5 of 153
  • Cell Biology 824
  • Cellular and Molecular Neuroscience 813
  • Virology 208
  • Molecular Biology 2.7k
  • Cognitive Neuroscience 681
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
Stefan Müller Germany
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

The 25 scholars most cited alongside Ken‐ichi Inoue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken‐ichi Inoue Line = papers co-authored together Ken‐ichi Inoue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202318
4 202351
5 202324
6 202212
7 20211
8 20208
9 202030
10 201922
11 20197
12 201794
13 201720
14 2012122
15 20124
16 201117
17 201156
18
Evaluation of cardiovascular circadian rhythm in patients with Parkinson's disease
20011
19 199648
20 19858

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), Virus-based gene therapy research (14 papers), Photoreceptor and optogenetics research (13 papers), Neuroscience and Neural Engineering (13 papers), Neurological disorders and treatments (12 papers), Memory and Neural Mechanisms (12 papers) and EEG and Brain-Computer Interfaces (11 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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