Ayako Kunimura

1.0k citations
36 papers · 650 · h-index 14

Impact in

Papers in

Ayako Kunimura

34 papers receiving 639 citations

Peers

Ayako Kunimura
Comparison fields: 5 of 47
  • Geriatrics and Gerontology 32
  • Cardiology and Cardiovascular Medicine 192
  • Nephrology 49
  • Physiology 146
  • Nutrition and Dietetics 69
Replace Tadayuki Uetani with:
Tadayuki Uetani Japan
Jing‐Wei Gao China
Munenori Kosugi Japan
Yuki Kanno Japan
Chen Chi China
Chiu‐Huang Kuo Taiwan
Donald R. J. Singer United Kingdom
Yuhei Shiga Japan
Mi Hae Seo South Korea
Chang Wang China
Ayako Kunimura relative to Tadayuki Uetani Japan Tadayuki Uetani's profile →
Citations per field
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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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201167
2 201766
3 201663
4 201156
5 201253
6 201744
7 201038
8 201833
9 201427
10 201618
11 201617
12 201215
13 201715
14 201113
15 201413
16 201613
17 202011
18 201711
19 201311
20 202010

About Ayako Kunimura

Ayako Kunimura is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Nephrology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 650 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (4 papers), Coronary Interventions and Diagnostics (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Cardiac Imaging and Diagnostics (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Blood Pressure and Hypertension Studies (2 papers), Nutrition and Health in Aging (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (32 citations), Cardiology and Cardiovascular Medicine (192 citations), Nephrology (49 citations), Physiology (146 citations) and Nutrition and Dietetics (69 citations). Ayako Kunimura has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Hideki Ishii, Toyoaki Murohara, Tetsuya Amano, Tadayuki Uetani, Tatsuaki Matsubara, Ken Harada, Bunichi Kato, Masataka Kato, Tomohiro Yoshida and Yosuke Tatami. Their work appears in journals such as Atherosclerosis, Circulation Journal, International Journal of Cardiology, Journal of Atherosclerosis and Thrombosis and The American Journal 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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