Jun Takata

1.1k citations
40 papers · 835 · h-index 17

Impact in

Papers in

Jun Takata

38 papers receiving 806 citations

Peers

Jun Takata
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 534
  • Physical Therapy, Sports Therapy and Rehabilitation 30
  • Radiology, Nuclear Medicine and Imaging 94
  • Surgery 104
  • Complementary and alternative medicine 18
Replace June‐Hong Kim with:
June‐Hong Kim South Korea
Gianluca Botto Italy
M Serratto United States
Niyazi Güler Türkiye
Charles Hellman United States
Milica Dekleva Serbia
Corrado Magnino Italy
Patrizia Carità Italy
Bernd Lemke Germany
Frédéric Lebrun Belgium
Jun Takata relative to June‐Hong Kim South Korea June‐Hong Kim's profile →
Citations per field
00.5×7.5×
June‐Hong Kim · 1×
Citations per year

Countries citing papers authored by Jun Takata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Takata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200592
2 200982
3 201158
4 201051
5 199150
6 200545
7 200644
8 200943
9 200541
10 199740
11 199333
12 201031
13 201229
14 200821
15 199720
16 199817
17 199716
18 199414
19 199813
20 199511

About Jun Takata

Jun Takata is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 40 papers that have together received 835 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (12 papers), Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Cardiovascular Effects of Exercise (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (534 citations), Physical Therapy, Sports Therapy and Rehabilitation (30 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Surgery (104 citations) and Complementary and alternative medicine (18 citations). Jun Takata has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yoshinori Doi, Yoshihisa Matsumura, Hiroaki Kitaoka, Naohito Yamasaki, Toru Kubo, Masanori Nishinaga, Takashi Furuno, Makoto Okawa, Taishiro Chikamori and Toshikazu Yabe. Their work appears in journals such as The American Journal of Cardiology, Circulation Journal, Geriatrics and gerontology international, Journal of Cardiology and CHEST Journal.

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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