Kazuo Ikeda

14.2k citations
358 papers · 11.5k indexed · h-index 56

Kazuo Ikeda

341 papers receiving 11.2k citations

Peers

Kazuo Ikeda
Comparison fields: 5 of 184
  • Hepatology 1.6k
  • Cell Biology 2.2k
  • Cellular and Molecular Neuroscience 2.0k
  • Immunology and Allergy 540
  • Molecular Biology 4.4k
Replace Richard A. Lang with:
Richard A. Lang United States
Florent Ginhoux Singapore
Masaru Okabe Japan
Frédéric Geissmann France
Leslie A. Leinwand United States
Steffen Jung Israel
Johan H. van Es Netherlands
Tetsuya Taga Japan
Hiroshi Itoh Japan
Takashi Nagasawa Japan
Kazuo Ikeda relative to Richard A. Lang United States Richard A. Lang's profile →
Citations per field
00.5×1.5×
Richard A. Lang · 1×
Citations per year

Countries citing papers authored by Kazuo Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20231
4 20235
5 20229
6 202031
7 201525
8 2012209
9
[Bone fracture and the healing mechanisms. Application of the extracorporeal shock wave on treatment of fracture].
20094
10 2003104
11
Liver Fibrosis and DDR2 Signaling
20031
12
Molecular analysis of genetic mutation in electrophoretic variant of human lactate dehydrogenase-A(M) subunit.
19924
13
Plexiform neurogenic tumors.
19901
14 19861
15
19812
16
19771
17 19763
18 19690
19
6. On Brittle Fracture Initiation (First Report-Deep Notch Test)
19681
20 19600

About Kazuo Ikeda

Kazuo Ikeda is a scholar working on Hepatology, Cellular and Molecular Neuroscience and Metals and Alloys, having authored 358 papers that have together received 11.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (37 papers), Neurobiology and Insect Physiology Research (34 papers), Liver Disease Diagnosis and Treatment (23 papers), Fatigue and fracture mechanics (22 papers), Orthopedic Surgery and Rehabilitation (20 papers), Corneal Surgery and Treatments (16 papers), Cellular transport and secretion (15 papers) and High-Velocity Impact and Material Behavior (14 papers). The work is most often cited by research in Hepatology (1.6k citations), Cell Biology (2.2k citations) and Cellular and Molecular Neuroscience (2.0k citations). Kazuo Ikeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include J. H. Koenig, Toshio Kosaka, Norifumi Kawada, C. A. G. Wiersma, Scott L. Friedman, Shizuya Saika, Katsutoshi Yoshizato, Osamu Yamanaka, Yuji Nakajima and Katsuro Tomita. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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