Jun Watanabe

5.5k citations
318 papers · 4.6k · h-index 32

Impact in

Papers in

Jun Watanabe

305 papers receiving 4.4k citations

Peers

Jun Watanabe
Comparison fields: 5 of 149
  • Cardiology and Cardiovascular Medicine 1.1k
  • Pharmacology 317
  • Biotechnology 204
  • Pharmaceutical Science 140
  • Molecular Biology 1.5k
Replace W. J. F. van der Vijgh with:
W. J. F. van der Vijgh Netherlands
John J. Pisano United States
Xinwen Wang China
T. Y. Shen United States
María‐Jesús Sanz Spain
F.A. Fitzpatrick United States
Nicola Ferri Italy
Kenneth K. Chan United States
Thomas Szekeres Austria
Stefan Chłopicki Poland
Jun Watanabe relative to W. J. F. van der Vijgh Netherlands W. J. F. van der Vijgh's profile →
Citations per field
00.5×1.5×2.4×
W. J. F. van der Vijgh · 1×
Citations per year

Countries citing papers authored by Jun Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Jun Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 318 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005217
2 2002166
3 2006159
4 2012127
5 2001119
6 1994115
7 200593
8 200685
9 200577
10 200567
11 199665
12 201064
13 198459
14 200558
15 200650
16 200548
17 201847
18 200447
19 199345
20 199043

About Jun Watanabe

Jun Watanabe is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Physiology and Pharmacology, having authored 318 papers that have together received 4.6k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (37 papers), Cardiac electrophysiology and arrhythmias (19 papers), Cardiovascular Function and Risk Factors (19 papers), Pharmacogenetics and Drug Metabolism (17 papers), Metabolism and Genetic Disorders (17 papers), Diet and metabolism studies (16 papers), Cardiac Imaging and Diagnostics (14 papers) and Ion channel regulation and function (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Pharmacology (317 citations), Biotechnology (204 citations), Pharmaceutical Science (140 citations) and Molecular Biology (1.5k citations). Jun Watanabe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kunio Shirato, Kikuo Iwamoto, Yoshinobu Mogi, Shinsuke Kanamura, Hiroaki Yuasa, Yutaka Kagaya, Kazuo Kanai, Shoji Ozeki, Masahito Sakuma and Yasushi Tanaka. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of Pharmacy and Pharmacology, Biological and Pharmaceutical Bulletin, The Anatomical Record and Journal of Histochemistry & Cytochemistry.

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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