Jun Asayama

1.2k citations
66 papers · 1.0k · h-index 17

Impact in

Papers in

Jun Asayama

64 papers receiving 974 citations

Peers

Jun Asayama
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 458
  • Pathology and Forensic Medicine 220
  • Emergency Medicine 72
  • Developmental Neuroscience 30
  • Physiology 128
Replace Natsuya Keira with:
Natsuya Keira Japan
Harley D. Sybers United States
Karyl M. VanBenthuysen United States
Jouko Levijoki Finland
N G Read United Kingdom
J. Craig Hartman United States
Hirokazu Hayakawa Japan
Tsuyoshi Urushida Japan
Laurence W.V. DeBoer United States
K A Reimer United States
Jun Asayama relative to Natsuya Keira Japan Natsuya Keira's profile →
Citations per field
00.5×1.5×
Natsuya Keira · 1×
Citations per year

Countries citing papers authored by Jun Asayama

Since Specialization
Citations

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

Fields of papers citing papers by Jun Asayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000139
2 199975
3 200365
4 200561
5 197760
6 199851
7 200149
8 200447
9 200341
10 200225
11 200325
12 199425
13 199224
14 199322
15 198221
16 199521
17 197717
18 200416
19 199416
20 199116

About Jun Asayama

Jun Asayama is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Physiology, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (14 papers), Cardiovascular Function and Risk Factors (13 papers), Cardiac electrophysiology and arrhythmias (12 papers), Cardiac Imaging and Diagnostics (9 papers), Cardiac Arrhythmias and Treatments (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Ion channel regulation and function (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (458 citations), Pathology and Forensic Medicine (220 citations), Emergency Medicine (72 citations), Developmental Neuroscience (30 citations) and Physiology (128 citations). Jun Asayama has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Masao Nakagawa, Miyuki Kobara, Satoaki Matoba, Natsuya Keira, Tetsuya Tatsumi, Jun Shiraishi, Kazuko Akashi, Henry Fliss, Bon Ohta and Akira Kawahara. Their work appears in journals such as Basic Research in Cardiology, Journal of Cardiovascular Pharmacology, International Journal of Cardiology, Journal of the American College of Cardiology and European Journal of Pharmacology.

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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