Kaoru Kikuchi

60 papers receiving 1.3k citations

Peers

Kaoru Kikuchi
Comparison fields: 5 of 124
  • Developmental Neuroscience 206
  • Cellular and Molecular Neuroscience 486
  • Hepatology 162
  • Cell Biology 108
  • Pathology and Forensic Medicine 113
Replace Yasuhiro Setoguchi with:
Yasuhiro Setoguchi Japan
Gillian M. Beattie United States
Neal R. Pellis United States
Satoru Yoshida Japan
Jia‐Qiang He United States
David B. Krizman United States
Simon Gordonov United States
Kacey Ronaldson-Bouchard United States
Adelaide Greco Italy
Elena Garreta Spain
Kaoru Kikuchi relative to Yasuhiro Setoguchi Japan Yasuhiro Setoguchi's profile →
Citations per field
00.5×4.9×
Yasuhiro Setoguchi · 1×
Citations per year

Countries citing papers authored by Kaoru Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006322
2 2004108
3 199899
4 200372
5 200647
6 201446
7 200345
8 200044
9 201439
10 200637
11
International collaborative survey on epidemiology of hepatitis E virus in 11 countries.
200634
12 199932
13 199931
14 201529
15 198926
16 199723
17 201421
18 201719
19 199518
20 201617

About Kaoru Kikuchi

Kaoru Kikuchi is a scholar working on Surgery, Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Molecular Biology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (8 papers), Nerve injury and regeneration (5 papers), Ferroelectric and Piezoelectric Materials (5 papers), Adhesion, Friction, and Surface Interactions (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Advanced Surface Polishing Techniques (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Cellular and Composite Structures (3 papers). The work is most often cited by research in Developmental Neuroscience (206 citations), Cellular and Molecular Neuroscience (486 citations), Hepatology (162 citations), Cell Biology (108 citations) and Pathology and Forensic Medicine (113 citations). Kaoru Kikuchi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tōru Kimura, Ryutaro Maeda, Kazuo Kumagai, Akiyoshi Kishino, Jun Akedo, Masaaki Ichiki, Zhan Jie Wang, Chikao Nakayama, Osamu Konishi and Yoshiaki Toyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Animal Science Journal, Journal of the Japan Institute of Metals and Materials, Nature Medicine and The Journal of Antibiotics.

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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