Jun Suzuki

5.2k citations
173 papers · 4.0k · h-index 32

Impact in

Papers in

Jun Suzuki

160 papers receiving 3.9k citations

Peers

Jun Suzuki
Comparison fields: 5 of 138
  • Sensory Systems 387
  • Cardiology and Cardiovascular Medicine 1.2k
  • Endocrinology, Diabetes and Metabolism 416
  • Neurology 210
  • Radiology, Nuclear Medicine and Imaging 361
Replace Junichi Kambayashi with:
Junichi Kambayashi Japan
Gang He China
Chung‐Hyun Cho South Korea
Richard J. Paul United States
Christine Delporte Belgium
Haruki Koike Japan
Xiang Luo United States
Satoru Ito Japan
Koichi Tamura Japan
Karen E. Porter United Kingdom
Jun Suzuki relative to Junichi Kambayashi Japan Junichi Kambayashi's profile →
Citations per field
00.5×10×17×
Junichi Kambayashi · 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 2005206
2 2007187
3 2001184
4 2006182
5 2016163
6 2008157
7 2017146
8 2004133
9 2005121
10 2002104
11 2006101
12 2005101
13 200598
14 200272
15 200470
16 199559
17 201756
18 200351
19 201250
20 200850

About Jun Suzuki

Jun Suzuki is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 173 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Cardiovascular Function and Risk Factors (14 papers), Cardiomyopathy and Myosin Studies (12 papers), Sinusitis and nasal conditions (10 papers), Renin-Angiotensin System Studies (10 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers), Ear Surgery and Otitis Media (8 papers) and Olfactory and Sensory Function Studies (8 papers). The work is most often cited by research in Sensory Systems (387 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (416 citations), Neurology (210 citations) and Radiology, Nuclear Medicine and Imaging (361 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, Tetsuya Matoba, Bradford C. Berk, Masaki Mogi and Lan Wu. Their work appears in journals such as Circulation Journal, Acta Oto-Laryngologica, Circulation, Hypertension and Journal of Cardiology.

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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