Reiko Ikebe

2.3k citations
52 papers · 1.8k · h-index 26

Impact in

Papers in

Reiko Ikebe

51 papers receiving 1.8k citations

Peers

Reiko Ikebe
Comparison fields: 5 of 95
  • Cell Biology 842
  • Cardiology and Cardiovascular Medicine 1.0k
  • Molecular Biology 1.3k
  • Sensory Systems 78
  • Structural Biology 18
Replace Lynne M. Coluccio with:
Lynne M. Coluccio United States
Mark S. Mooseker United States
Sarah M. Heissler United States
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Éva Forgács United States
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Stéphane Vassilopoulos France
Russell E. McConnell United States
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Citations per field
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Lynne M. Coluccio · 1×
Citations per year

Countries citing papers authored by Reiko Ikebe

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Ikebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997163
2 2002134
3 200297
4 200495
5 201186
6 200082
7 200577
8 200268
9 200968
10 200864
11 200159
12 200155
13 201155
14 199851
15 200148
16 200747
17 199447
18 199843
19 200637
20 200136

About Reiko Ikebe

Reiko Ikebe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (39 papers), Muscle Physiology and Disorders (27 papers), Cellular Mechanics and Interactions (16 papers), RNA Research and Splicing (8 papers), Occupational and environmental lung diseases (6 papers), Microtubule and mitosis dynamics (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Cell Biology (842 citations), Cardiology and Cardiovascular Medicine (1.0k citations), Molecular Biology (1.3k citations), Sensory Systems (78 citations) and Structural Biology (18 citations). Reiko Ikebe has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Mitsuo Ikebe, Junya Saito, Kazuaki Homma, Xiang‐dong Li, Tsuyoshi Sakai, Katsuhide Mabuchi, Nobuhisa Umeki, Shinya Watanabe, Osamu Satō and Eisaku Katayama. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, American Journal of Physiology-Lung Cellular and Molecular Physiology and Advances in experimental medicine and biology.

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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