Masumi Eto

4.9k citations
80 papers · 4.2k indexed · h-index 35

Impact in

    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Ion channel regulation and function
    • Protein Tyrosine Phosphatases
    • Receptor Mechanisms and Signaling

Papers in

Masumi Eto

78 papers receiving 4.1k citations

Peers

Masumi Eto
Comparison fields: 5 of 108
  • Cell Biology 973
  • Molecular Biology 3.1k
  • Physiology 1.0k
  • Cardiology and Cardiovascular Medicine 802
  • Immunology and Allergy 181
Replace Noriko Takuwa with:
Noriko Takuwa Japan
Toshio Kitazawa United States
William F. Simonds United States
Vincent Sauzeau France
Hiroki Tamakawa Japan
K. Yamagami Japan
Lynda Tyrrell United States
Masahiro Oike Japan
Enno Klußmann Germany
Steven L. Roberds United States
Masumi Eto relative to Noriko Takuwa Japan Noriko Takuwa's profile →
Citations per field
00.5×1.5×
Noriko Takuwa · 1×
Citations per year

Countries citing papers authored by Masumi Eto

Since Specialization
Citations

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

Fields of papers citing papers by Masumi Eto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20245
4 20231
5 20225
6 201812
7 201728
8 201130
9 2009127
10 200914
11 200744
12 2003202
13 200284
14 2001207
15 200129
16 200039
17 199981
18 1998153
19 1997222
20 1995267

About Masumi Eto

Masumi Eto is a scholar working on Cell Biology, Immunology and Allergy, Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 80 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (44 papers), Cardiomyopathy and Myosin Studies (20 papers), Protein Tyrosine Phosphatases (15 papers), Ion channel regulation and function (15 papers), Cellular Mechanics and Interactions (14 papers), Nitric Oxide and Endothelin Effects (8 papers), Muscle Physiology and Disorders (8 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Cell Biology (973 citations), Molecular Biology (3.1k citations), Physiology (1.0k citations), Cardiology and Cardiovascular Medicine (802 citations) and Immunology and Allergy (181 citations). Masumi Eto has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include David L. Brautigan, Toshio Kitazawa, Michio Yazawa, Fumi Morita, Avril V. Somlyo, Takio Kitazawa, Toshihiro Ohmori, Masashi Suzuki, Allen D. Everett and Andrew P. Somlyo. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Physiology, The Journal of Biochemistry, Biochemical and Biophysical Research Communications and American Journal of Physiology-Cell Physiology.

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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