Masato Eto

23.1k citations
154 papers · 7.3k · h-index 49

Impact in

Papers in

Masato Eto

150 papers receiving 7.1k citations

Peers

Masato Eto
Comparison fields: 5 of 141
  • Geriatrics and Gerontology 836
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology, Diabetes and Metabolism 972
  • Physiology 1.4k
  • Biochemistry 319
Replace Sumito Ogawa with:
Sumito Ogawa Japan
Fabrizio Montecucco Italy
Johannes B. Prins Australia
Kenji Harada Japan
Bjørn Richelsen Denmark
Chiara Cerletti Italy
Ahmad Aljada United States
Zhengyuan Xia China
Wataru Ogawa Japan
Giuseppe Rengo Italy
Masato Eto relative to Sumito Ogawa Japan Sumito Ogawa's profile →
Citations per field
00.5×4.3×
Sumito Ogawa · 1×
Citations per year

Countries citing papers authored by Masato Eto

Since Specialization
Citations

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

Fields of papers citing papers by Masato Eto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995471
2 2005376
3 2007356
4 2003328
5 2002275
6 2008200
7 2010191
8 2006176
9 2011169
10 2004154
11 2007144
12 1998139
13 2001135
14 1999130
15 2010128
16 2001127
17 2011123
18 2006123
19 2007118
20 2005118

About Masato Eto

Masato Eto is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 154 papers that have together received 7.3k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (17 papers), Hormonal and reproductive studies (9 papers), Cardiovascular Health and Disease Prevention (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Antioxidant Activity and Oxidative Stress (6 papers), Estrogen and related hormone effects (6 papers), Heart Rate Variability and Autonomic Control (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). The work is most often cited by research in Geriatrics and Gerontology (836 citations), Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (972 citations), Physiology (1.4k citations) and Biochemistry (319 citations). Masato Eto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masahiro Akishita, Yasuyoshi Ouchi, Katsuya Iijima, Sumito Ogawa, Hidetaka Ota, Koichi Kozaki, Thomas F. Lüscher, Kenji Toba, Masayoshi Hashimoto and Francesco Cosentino. Their work appears in journals such as BMC Medical Education, Biochemical and Biophysical Research Communications, Circulation, Hypertension Research and Arteriosclerosis Thrombosis and Vascular Biology.

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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