Eiichi KIMURA

2.0k citations
87 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 111
  • Cardiology and Cardiovascular Medicine 579
  • Analytical Chemistry 170
  • Genetics 158
  • Cell Biology 184
  • Pharmacology 95
Replace Terushige Toyooka with:
Terushige Toyooka Japan
Harold Feinberg United States
R Valdes United States
Erkki Nissinen Finland
G. V. R. Born United Kingdom
Jerry G. Webb United States
N. Crawford United Kingdom
Steven E. Mayer United States
Koroku Hashimoto Japan
Thomas W. Smith United States
Eiichi KIMURA relative to Terushige Toyooka Japan Terushige Toyooka's profile →
Citations per field
00.5×4.9×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001334
2 1966159
3 1973157
4 1981142
5 1999107
6 197864
7 197757
8 195455
9 198653
10 200031
11 196331
12 196931
13 197024
14 196624
15 197821
16 196018
17 195218
18 196916
19 197716
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 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Cardiovascular Function and Risk Factors (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 (579 citations), Analytical Chemistry (170 citations), Genetics (158 citations), Cell Biology (184 citations) and Pharmacology (95 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, K Trombitás, Marie‐Louise Bang, Junko Yano, Christian Witt and Carol C. Gregorio. Their work appears in journals such as American Heart Journal, Cellular and Molecular Life Sciences, Nature, Circulation and Molecular and Cellular 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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