Kensuke Matsumoto

2.2k citations
138 papers · 1.5k indexed · h-index 23

Kensuke Matsumoto

122 papers receiving 1.5k citations

Peers

Kensuke Matsumoto
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 1.2k
  • Radiology, Nuclear Medicine and Imaging 430
  • Endocrinology, Diabetes and Metabolism 244
  • Pulmonary and Respiratory Medicine 275
  • Microbiology 5
Replace Goo-Yeong Cho with:
Goo-Yeong Cho South Korea
Atsushi Yamamuro Japan
Ângela Barreto Santiago Santos Brazil
Yoshitaka Sugawara Japan
Verônica Fernandes United States
Kjetil Steine Norway
C. Aggeli Greece
Jannet F. Lewis United States
Anvesha Singh United Kingdom
Tracey Steedman United Kingdom
Kensuke Matsumoto relative to Goo-Yeong Cho South Korea Goo-Yeong Cho's profile →
Citations per field
00.5×1.5×2.3×
Goo-Yeong Cho · 1×
Citations per year

Countries citing papers authored by Kensuke Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Kensuke Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20223
3 202210
4 20220
5 202131
6 20211
7 20217
8 20211
9 20200
10 20202
11 20196
12 201929
13 201711
14
Abstract 14742: Impact of Albuminuria on Left Atrial Function Mediated by Left Ventricular Longitudinal Function in Patients With Diabetic Mellitus
20161
15 201511
16 201442
17 20129
18 201213
19 201144
20 20119

About Kensuke Matsumoto

Kensuke Matsumoto is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 138 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (65 papers), Cardiac pacing and defibrillation studies (31 papers), Cardiac Arrhythmias and Treatments (30 papers), Cardiac Imaging and Diagnostics (28 papers), Cardiac Valve Diseases and Treatments (23 papers), Congenital Heart Disease Studies (17 papers), Pulmonary Hypertension Research and Treatments (15 papers) and Cardiac electrophysiology and arrhythmias (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (430 citations) and Endocrinology, Diabetes and Metabolism (244 citations). Kensuke Matsumoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hidekazu Tanaka, Ken‐ichi Hirata, Kazuhiro Tatsumi, Yasuhide Mochizuki, Keiko Ryo, Hiroya Kawai, Yuko Fukuda, Yoshiki Motoji, Takuma Sawa and Hiroyuki Sano. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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