Kenichi Mitsui

901 citations
21 papers · 764 · h-index 12

Impact in

Papers in

Kenichi Mitsui

20 papers receiving 757 citations

Peers

Kenichi Mitsui
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 365
  • Neurology 169
  • Molecular Biology 530
  • Cell Biology 123
  • Aging 12
Replace Yuxi Shan with:
Yuxi Shan China
Gulam Mustafa Saifi United States
Chijie Xu United States
Chiu-Hui Huang Taiwan
Raffaella Calligaris Italy
Margaret M.P. Pearce United States
Veronica Colomer United States
Emily M. Lynes Canada
Naval P. Shanware United States
Eszter Zavodszky United Kingdom
Kenichi Mitsui relative to Yuxi Shan China Yuxi Shan's profile →
Citations per field
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Yuxi Shan · 1×
Citations per year

Countries citing papers authored by Kenichi Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kenichi Mitsui, 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 Kenichi Mitsui Line = papers co-authored together Kenichi Mitsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004152
2 2008102
3 200486
4 199982
5 200274
6 200273
7 200140
8 200630
9 201523
10 200021
11 201421
12 201521
13 20177
14 19857
15 20007
16 19906
17 20115
18 19993
19
Roundabout1 distribution in neoplastic and non-neoplastic diseases with a focus on neoangiogenesis.
20183
20 19981

About Kenichi Mitsui

Kenichi Mitsui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Cell Biology and Clinical Biochemistry, having authored 21 papers that have together received 764 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers), Ubiquitin and proteasome pathways (3 papers), T-cell and B-cell Immunology (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Muscle Physiology and Disorders (3 papers), Metabolism and Genetic Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (365 citations), Neurology (169 citations), Molecular Biology (530 citations), Cell Biology (123 citations) and Aging (12 citations). Kenichi Mitsui has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Nobuyuki Nukina, Hiroshi Doi, Yoko Machida, Masaru Kurosawa, Yoshiyuki Kuroiwa, Utako Nagaoka, Fumitaka Oyama, Mieko Maruyama, Nihar Ranjan Jana and Koji Takio. Their work appears in journals such as FEBS Letters, Neuroreport, Progress in molecular and subcellular biology, Biochemical and Biophysical Research Communications and Journal of Biomaterials Science Polymer Edition.

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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