Kei Kimura

33 papers receiving 347 citations

Peers

Kei Kimura
Comparison fields: 5 of 85
  • Orthodontics 28
  • Cellular and Molecular Neuroscience 69
  • Developmental Neuroscience 13
  • General Dentistry 5
  • Cancer Research 40
Replace Mark Walters with:
Mark Walters Australia
Vikas Malik United Kingdom
Donald C. Quick United States
Tomiko Yamada Japan
Jason B. Papke United States
Judit Symmank Germany
Michaela Procházková United States
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Klaus Jahnke Germany
Kei Kimura relative to Mark Walters Australia Mark Walters's profile →
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Citations per year

Countries citing papers authored by Kei Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Kei Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 199933
3 200327
4 199126
5 201426
6 202320
7 202120
8 198920
9 199616
10 202213
11 200712
12 202111
13 20189
14 20098
15 20197
16 19976
17
[Pathogenesis of cotton-wool spots. 1. Fine structure of cytoid bodies].
19676
18 20245
19 20213
20 20233

About Kei Kimura

Kei Kimura is a scholar working on Molecular Biology, Civil and Structural Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, having authored 38 papers that have together received 359 indexed citations. Recurring topics across this work include Structural Load-Bearing Analysis (5 papers), Superconducting Materials and Applications (3 papers), Fire effects on concrete materials (3 papers), Structural Behavior of Reinforced Concrete (3 papers), Memory and Neural Mechanisms (3 papers), Bacteriophages and microbial interactions (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Orthodontics (28 citations), Cellular and Molecular Neuroscience (69 citations), Developmental Neuroscience (13 citations), General Dentistry (5 citations) and Cancer Research (40 citations). Kei Kimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yuji Tomaru, Haruo Yamaguchi, Kohji Yamamoto, Ken‐ichi Inoue, Chizuka Idé, Masaaki Kitada, Masahiko Takada, Ken-ichi Hirata, Ichiro Sekine and Masaharu Noda. Their work appears in journals such as Journal of Structural and Construction Engineering (Transactions of AIJ), Current Biology, Neuroscience, Techniques in Coloproctology and IEEE Transactions on Applied Superconductivity.

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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