K Kiuchi

898 citations
24 papers · 718 · h-index 14

Impact in

Papers in

K Kiuchi

24 papers receiving 698 citations

Peers

K Kiuchi
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 405
  • Clinical Biochemistry 73
  • Endocrinology, Diabetes and Metabolism 77
  • Cellular and Molecular Neuroscience 83
  • Pathology and Forensic Medicine 82
Replace Robert M. Gill with:
Robert M. Gill United States
J. Moravec France
F THANDROYEN South Africa
Morgan He United States
Minshu Wang China
Erik P. Silldorff United States
Dongjuan Wang China
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Xuliang Huang China
Estela Santos‐Alves Portugal
K Kiuchi relative to Robert M. Gill United States Robert M. Gill's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by K Kiuchi

Since Specialization
Citations

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

Fields of papers citing papers by K Kiuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993148
2 1994105
3 200192
4 199488
5 199347
6 199530
7 198820
8 198619
9 198619
10 200118
11 199416
12 199416
13 199514
14 199313
15 199413
16 199413
17
Left coronary artery-left ventricular fistula with acute myocardial infarction, representing the coronary steal phenomenon: a case report.
199912
18 198811
19 19928
20 19947

About K Kiuchi

K Kiuchi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Physiology and Pathology and Forensic Medicine, having authored 24 papers that have together received 718 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Pancreatic function and diabetes (2 papers), Heart Failure Treatment and Management (2 papers), Neuropeptides and Animal Physiology (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (405 citations), Clinical Biochemistry (73 citations), Endocrinology, Diabetes and Metabolism (77 citations), Cellular and Molecular Neuroscience (83 citations) and Pathology and Forensic Medicine (82 citations). K Kiuchi has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Stephen F. Vatner, Dorothy E. Vatner, Richard P. Shannon, Naoki Sato, Kazuo Komamura, C J Homcy, David Cohen, Claudia L. Bianchi‬, Y. T. Shen and Steve Sorota. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation Research, Journal of Clinical Investigation, Circulation and Life Sciences.

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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