Jun Suzuki

5.2k citations
173 papers · 3.9k · h-index 32

Impact in

Papers in

Jun Suzuki

159 papers receiving 3.8k citations

Peers

Jun Suzuki
Comparison fields: 5 of 141
  • Sensory Systems 401
  • Cardiology and Cardiovascular Medicine 1.5k
  • Endocrinology, Diabetes and Metabolism 518
  • Neurology 228
  • Radiology, Nuclear Medicine and Imaging 461
Replace Brigitte Escoubet with:
Brigitte Escoubet France
Haruki Koike Japan
Suh‐Hang Hank Juo Taiwan
Satoru Ito Japan
Gang He China
Xiang Luo United States
Christopher J. Klein United States
Koichi Tamura Japan
Nicolette Farman France
Richard J. Paul United States
Jun Suzuki relative to Brigitte Escoubet France Brigitte Escoubet's profile →
Citations per field
00.5×3.9×
Brigitte Escoubet · 1×
Citations per year

Countries citing papers authored by Jun Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005205
2 2007185
3 2001184
4 2006179
5 2016161
6 2008157
7 2017144
8 2004131
9 2005121
10 2002104
11 2006101
12 2005101
13 200598
14 200272
15 200469
16 199559
17 201756
18 200351
19 201251
20 200849

About Jun Suzuki

Jun Suzuki is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 173 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (25 papers), Cardiac Imaging and Diagnostics (19 papers), Cardiomyopathy and Myosin Studies (18 papers), Hearing, Cochlea, Tinnitus, Genetics (13 papers), Sinusitis and nasal conditions (10 papers), Renin-Angiotensin System Studies (10 papers), Advanced MRI Techniques and Applications (10 papers) and Cardiac electrophysiology and arrhythmias (10 papers). The work is most often cited by research in Sensory Systems (401 citations), Cardiology and Cardiovascular Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (518 citations), Neurology (228 citations) and Radiology, Nuclear Medicine and Imaging (461 citations). Jun Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masatsugu Horiuchi, Masaru Iwai, M. Charles Liberman, Jitsuo Higaki, Rui Chen, Gabriel Corfas, Bradford C. Berk, Tetsuya Matoba, Lan Wu and Masaki Mogi. Their work appears in journals such as Circulation Journal, Acta Oto-Laryngologica, Circulation, Scientific Reports and Hypertension.

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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