Chie Matsuda

2.4k citations
27 papers · 2k · h-index 19

Impact in

Papers in

    • Muscle Physiology and Disorders 15
    • ATP Synthase and ATPases Research 4
    • RNA Research and Splicing 3
    • Nuclear Structure and Function 2
    • Caveolin-1 and cellular processes 2
    • Endoplasmic Reticulum Stress and Disease 1

Chie Matsuda

27 papers receiving 1.9k citations

Peers

Chie Matsuda
Comparison fields: 5 of 80
  • Cell Biology 356
  • Immunology and Allergy 112
  • Molecular Biology 1.2k
  • Biochemistry 90
  • Epidemiology 202
Replace Kanako Goto with:
Kanako Goto Japan
Vasken Ohanian United Kingdom
Nils Bäck Finland
Louis Ercolani United States
Angela K. Best United States
Michihiro Imamura Japan
Kristin Roovers United States
Songwei Wu United States
Geoffrey G. Hesketh Canada
Dimple Bansal United States
Chie Matsuda relative to Kanako Goto Japan Kanako Goto's profile →
Citations per field
00.5×2×3×4.1×
Kanako Goto · 1×
Citations per year

Countries citing papers authored by Chie Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Chie Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009328
2 1998310
3 2007277
4 2001222
5 2001199
6 1999121
7 200562
8 200848
9 201345
10 199539
11 201238
12 199337
13 199535
14 201232
15 200629
16 201026
17 200821
18 199420
19 199319
20 200917

About Chie Matsuda

Chie Matsuda is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), ATP Synthase and ATPases Research (4 papers), RNA Research and Splicing (3 papers), Caveolin-1 and cellular processes (2 papers), Cell Adhesion Molecules Research (2 papers), Nuclear Structure and Function (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Cell Biology (356 citations), Immunology and Allergy (112 citations), Molecular Biology (1.2k citations), Biochemistry (90 citations) and Epidemiology (202 citations). Chie Matsuda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Yukiko K Hayashi, Kiichi Arahata, Megumu Ogawa, Ikuya Nonaka, Ichizo Nishino, Robert H. Brown, Kanako Goto, Eriko Fujita, Atsushi Isoai and Takashi Momoi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Muscle & Nerve, Biochemical and Biophysical Research Communications and Journal of Neuropathology & Experimental Neurology.

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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