Jun Tamai

1.2k citations
37 papers · 984 · h-index 17

Impact in

Papers in

Jun Tamai

35 papers receiving 941 citations

Peers

Jun Tamai
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 554
  • Radiology, Nuclear Medicine and Imaging 374
  • Surgery 307
  • Pathology and Forensic Medicine 105
  • Emergency Medicine 45
Replace M. Mauser with:
M. Mauser Germany
R. W. Baer United States
W. Flameng Belgium
Gustavo A. Medrano Mexico
Carlos Velasco United States
Martin Fleisch Switzerland
Ketil Grong Norway
Daniel Wohlgelernter United States
Tobias Rutz Switzerland
Ronald R. Masden United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun Tamai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tamai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994166
2 1986155
3 199585
4 198761
5 199456
6 199144
7 199542
8 198937
9 199235
10 199033
11 198929
12 199728
13 199525
14 198921
15 199418
16 198818
17 198916
18 199115
19 198915
20 198814

About Jun Tamai

Jun Tamai is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 37 papers that have together received 984 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Cardiovascular Function and Risk Factors (11 papers), Cardiac Valve Diseases and Treatments (8 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Coronary Interventions and Diagnostics (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (554 citations), Radiology, Nuclear Medicine and Imaging (374 citations), Surgery (307 citations), Pathology and Forensic Medicine (105 citations) and Emergency Medicine (45 citations). Jun Tamai has collaborated with scholars based in Japan and United States. Frequent co-authors include Kunio Miyatake, Masakazu Yamagishi, Satoshi Nakatani, Michitoshi Inoue, Akira Kitabatake, Jun Koyama, Masafumi Kitakaze, K Iwai, Steven E. Nissen and Yukihiro Koretsune. Their work appears in journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology, The American Journal of Cardiology, American 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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