Etsu Suzuki

3.8k citations
82 papers · 3.3k · h-index 36

Impact in

Papers in

Etsu Suzuki

80 papers receiving 3.2k citations

Peers

Etsu Suzuki
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 666
  • Cardiology and Cardiovascular Medicine 567
  • Physiology 590
  • Cancer Research 320
  • Endocrinology, Diabetes and Metabolism 339
Replace Delbert G. Gillespie with:
Delbert G. Gillespie United States
Masao Kakoki United States
Daisuke Nagata Japan
Masaru YOSHIZUMI Japan
Pernille Hansen Denmark
Dorothée Weihrauch United States
Yasutomo Fukunaga Japan
Tokihito Yukimura Japan
Kazuwa Nakao Japan
Koji Yokokawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Etsu Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Etsu Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004180
2 1995178
3 2001153
4 1996122
5 1999120
6 2000120
7 2010116
8 1998107
9 2001101
10 199989
11 199587
12 200186
13 199977
14 199573
15 200071
16 200069
17 200269
18 199969
19 200569
20 200865

About Etsu Suzuki

Etsu Suzuki is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 82 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (17 papers), Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (12 papers), Renin-Angiotensin System Studies (10 papers), Hormonal Regulation and Hypertension (7 papers), Blood Pressure and Hypertension Studies (5 papers), Cancer-related Molecular Pathways (5 papers) and Heart Failure Treatment and Management (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (666 citations), Cardiology and Cardiovascular Medicine (567 citations), Physiology (590 citations), Cancer Research (320 citations) and Endocrinology, Diabetes and Metabolism (339 citations). Etsu Suzuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yasunobu Hirata, Hiroaki Nishimatsu, Masao Omata, Tetsuo Nagano, Daisuke Nagata, Hiroshi Hayakawa, Hiroshi Satonaka, Shigeyoshi Oba, Ryozo Nagai and Masataka Sata. Their work appears in journals such as Circulation Research, Hypertension Research, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology and Circulation.

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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