Jun Tanigawa

33 papers receiving 851 citations

Peers

Jun Tanigawa
Comparison fields: 5 of 42
  • Cardiology and Cardiovascular Medicine 407
  • Radiology, Nuclear Medicine and Imaging 402
  • Surgery 766
  • Pulmonary and Respiratory Medicine 288
  • Rheumatology 79
Replace Umberto Barbero with:
Umberto Barbero Italy
Michael Schmid Germany
Davide Piraino Italy
Dario Buccheri Italy
Rafael Cavalcante Netherlands
Hirosada Yamamoto Japan
Masanori Taniwaki Switzerland
Attila Thury Hungary
Matteo Ghione United Kingdom
Masaki Awata Japan
Jun Tanigawa relative to Umberto Barbero Italy Umberto Barbero's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Tanigawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tanigawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intravascular optical coherence tomography: optimisation of image acquisition and quantitative assessment of stent strut apposition.
2007130
2 2008104
3 200390
4 200770
5 200757
6 200754
7 200951
8 201250
9 200838
10 200635
11 200730
12 200623
13 200322
14 201620
15 200716
16 201516
17 200811
18 20059
19 20149
20 20138

About Jun Tanigawa

Jun Tanigawa is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 33 papers that have together received 886 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (24 papers), Cardiac Imaging and Diagnostics (14 papers), Acute Myocardial Infarction Research (6 papers), Peripheral Artery Disease Management (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), IgG4-Related and Inflammatory Diseases (3 papers) and Aortic aneurysm repair treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (407 citations), Radiology, Nuclear Medicine and Imaging (402 citations), Surgery (766 citations), Pulmonary and Respiratory Medicine (288 citations) and Rheumatology (79 citations). Jun Tanigawa has collaborated with scholars based in United Kingdom, Japan and Taiwan. Frequent co-authors include Carlo Di Mario, Peter Barlis, Konstantinos Dimopoulos, Osamu Katoh, Şahin Kaplan, Nobukazu Ishizaka, P.J. Moore, Miles Dalby, Shigeru Nakamura and Chang‐Min Chung. Their work appears in journals such as Catheterization and Cardiovascular Interventions, International Journal of Cardiology, Journal of Interventional Cardiology, European Heart Journal and Heart and Vessels.

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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