Ayako Kunimura

1.0k citations
44 papers · 783 · h-index 15

Impact in

Papers in

Ayako Kunimura

41 papers receiving 770 citations

Peers

Ayako Kunimura
Comparison fields: 5 of 50
  • Cardiology and Cardiovascular Medicine 236
  • Geriatrics and Gerontology 33
  • Nephrology 54
  • Physiology 156
  • Nutrition and Dietetics 79
Replace Tadayuki Uetani with:
Tadayuki Uetani Japan
Yuki Kanno Japan
Marco Miclini Italy
Chen Chi China
Naotsugu Iwakami Japan
Jing‐Wei Gao China
André Duvinage Germany
Jason L. Guichard United States
Vittoria Mastromarino Italy
Yuhei Shiga Japan
Ayako Kunimura relative to Tadayuki Uetani Japan Tadayuki Uetani's profile →
Citations per field
00.5×2×3×4.3×
Tadayuki Uetani · 1×
Citations per year

Countries citing papers authored by Ayako Kunimura

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Kunimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201174
2 201770
3 201666
4 201158
5 201253
6 201052
7 201745
8 201039
9 201837
10 201427
11 202423
12 201719
13 201618
14 201618
15 201216
16 201715
17 201614
18 201113
19 201413
20 202012

About Ayako Kunimura

Ayako Kunimura is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Surgery, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 783 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Disease and Adiposity (4 papers), Coronary Interventions and Diagnostics (4 papers), Blood Pressure and Hypertension Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (236 citations), Geriatrics and Gerontology (33 citations), Nephrology (54 citations), Physiology (156 citations) and Nutrition and Dietetics (79 citations). Ayako Kunimura has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Toyoaki Murohara, Hideki Ishii, Tetsuya Amano, Tadayuki Uetani, Tatsuaki Matsubara, Bunichi Kato, Masataka Kato, Tomohiro Yoshida, Ken Harada and Yohei Shibata. Their work appears in journals such as Atherosclerosis, Circulation Journal, Journal of Atherosclerosis and Thrombosis, The American Journal of Cardiology and Hypertension Research.

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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