Daisuke Kamimura

960 citations
41 papers · 635 · h-index 16

Impact in

    • Cardiovascular Function and Risk Factors
    • Heart Failure Treatment and Management
    • Cardiac Valve Diseases and Treatments
    • Cardiovascular Disease and Adiposity
    • Cardiac Fibrosis and Remodeling
    • Cardiovascular Health and Disease Prevention

Papers in

Daisuke Kamimura

36 papers receiving 628 citations

Peers

Daisuke Kamimura
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 280
  • Nephrology 31
  • Biological Psychiatry 7
  • Physiology 68
  • Clinical Biochemistry 18
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Yasin Türker Türkiye
Ji‐Hung Wang Taiwan
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Marianna Conte Italy
Amra Jujić Sweden
Shao‐Ju Chien Taiwan
Rohan Samson United States
Germán Gamarra Colombia
Antônio Carlos Palandri Chagas Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Kamimura

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kamimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201765
3 202155
4 201249
5 201139
6 201532
7 201131
8 201929
9 201628
10 201826
11 201621
12 201717
13 202016
14 201116
15 201715
16 201015
17 202112
18 201711
19 20239
20 20178

About Daisuke Kamimura

Daisuke Kamimura is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Physiology, Surgery and Molecular Biology, having authored 41 papers that have together received 635 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (13 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Cardiac pacing and defibrillation studies (2 papers), Pregnancy and preeclampsia studies (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (280 citations), Nephrology (31 citations), Biological Psychiatry (7 citations), Physiology (68 citations) and Clinical Biochemistry (18 citations). Daisuke Kamimura has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Michael E. Hall, Ervin R. Fox, Takeki Suzuki, Yasushi Sakata, Shunsuke Tamaki, Tomohito Ohtani, Toshiaki Mano, Kenneth R. Butler, Yasumasa Tsukamoto and Issei Komuro. Their work appears in journals such as Journal of the American Heart Association, Journal of Cardiac Failure, Scientific Reports, Mayo Clinic Proceedings and 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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