Eiichi KIMURA

2.0k citations
86 papers · 1.6k · h-index 17

Impact in

Papers in

Eiichi KIMURA

81 papers receiving 1.5k citations

Peers

Eiichi KIMURA
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 629
  • Analytical Chemistry 171
  • Genetics 164
  • Cell Biology 194
  • Pharmacology 96
Replace Terushige Toyooka with:
Terushige Toyooka Japan
R Valdes United States
Harold Feinberg United States
Erkki Nissinen Finland
G. V. R. Born United Kingdom
David Guez France
Koroku Hashimoto Japan
Thomas W. Smith United States
R. Roncucci Italy
Ulrich Quast Germany
Eiichi KIMURA relative to Terushige Toyooka Japan Terushige Toyooka's profile →
Citations per field
00.5×4.6×
Terushige Toyooka · 1×
Citations per year

Countries citing papers authored by Eiichi KIMURA

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi KIMURA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001334
2 1966158
3 1973157
4 1981142
5 1999106
6 197864
7 197757
8 195455
9 198653
10 200031
11 196931
12 196331
13 196624
14 197024
15 197821
16 195218
17 196018
18 197716
19 196916
20 196312

About Eiichi KIMURA

Eiichi KIMURA is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Arrhythmias and Treatments (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Photoreceptor and optogenetics research (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (629 citations), Analytical Chemistry (171 citations), Genetics (164 citations), Cell Biology (194 citations) and Pharmacology (96 citations). Eiichi KIMURA has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Hiroshi Kishida, Keiichi Hashimoto, Hirokazu Hayakawa, Hiroyuki Sorimachi, Ichiro Aoki, Henk Granzier, Abigail McElhinny, Thomas Centner, Siegfried Labeit and Carol C. Gregorio. Their work appears in journals such as American Heart Journal, Cellular and Molecular Life Sciences, Nature, Circulation and Journal of Inorganic Biochemistry.

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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