Jun Sugisawa

604 citations
14 papers · 349 · h-index 7

Impact in

Papers in

Jun Sugisawa

14 papers receiving 342 citations

Peers

Jun Sugisawa
Comparison fields: 5 of 40
  • Cardiology and Cardiovascular Medicine 260
  • Radiology, Nuclear Medicine and Imaging 238
  • Surgery 168
  • Gastroenterology 10
  • Anesthesiology and Pain Medicine 9
Replace Hye Bin Gwag with:
Hye Bin Gwag South Korea
M. Bernies France
António Gaspar Portugal
Sumihisa Abe Japan
Michelle Ouellette United States
Kazuo Minai Japan
Rosa Poddighe Italy
Marco Ciardetti Italy
Jaclyn Carberry United Kingdom
Tatsuya Nakachi Japan
Jun Sugisawa relative to Hye Bin Gwag South Korea Hye Bin Gwag's profile →
Citations per field
00.5×3.4×
Hye Bin Gwag · 1×
Citations per year

Countries citing papers authored by Jun Sugisawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sugisawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019130
2 2018126
3 202125
4 202017
5 201916
6 201913
7 20218
8 20225
9 20214
10 20191
11 20191
12 20191
13 20181
14 20181

About Jun Sugisawa

Jun Sugisawa is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine, having authored 14 papers that have together received 349 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Disease and Adiposity (4 papers), Coronary Interventions and Diagnostics (3 papers), Advanced MRI Techniques and Applications (3 papers), Pain Management and Treatment (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (260 citations), Radiology, Nuclear Medicine and Imaging (238 citations), Surgery (168 citations), Gastroenterology (10 citations) and Anesthesiology and Pain Medicine (9 citations). Jun Sugisawa has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Yasuharu Matsumoto, Yoku Kikuchi, Hiroaki Shimokawa, Tomohiko Shindo, Kiyotaka Hao, Jun Takahashi, Akira Suda, Satoshi Miyata, Yasuhiko Sakata and Shohei Ikeda. Their work appears in journals such as European Heart Journal, Journal of the American College of Cardiology, PLoS ONE, International Journal of Cardiology and Arteriosclerosis Thrombosis and Vascular Biology.

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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