Sadatoshi Birou

1.1k total citations · 1 hit paper
24 papers, 826 citations indexed

About

Sadatoshi Birou is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sadatoshi Birou has authored 24 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sadatoshi Birou's work include Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cancer, Lipids, and Metabolism (3 papers). Sadatoshi Birou is often cited by papers focused on Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cancer, Lipids, and Metabolism (3 papers). Sadatoshi Birou collaborates with scholars based in Russia and Japan. Sadatoshi Birou's co-authors include Chizuko Maruyama, Tamio Teramoto, Junichi Sasaki, Shun Ishibashi, Shinji Kihara, Mami Iida, Kazuhiko Hirobe, Tomonori Okamura, Seitaro Dohi and Koutaro Yokote and has published in prestigious journals such as Cellular and Molecular Life Sciences, Journal of Molecular and Cellular Cardiology and Journal of Atherosclerosis and Thrombosis.

In The Last Decade

Sadatoshi Birou

23 papers receiving 809 citations

Hit Papers

Executive Summary of the ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sadatoshi Birou Russia 11 302 257 243 144 137 24 826
Seitaro Dohi Japan 14 316 1.0× 267 1.0× 264 1.1× 108 0.8× 109 0.8× 49 886
Robert Clarke United Kingdom 13 377 1.2× 339 1.3× 216 0.9× 193 1.3× 152 1.1× 22 1.3k
Christina Antza Greece 17 191 0.6× 333 1.3× 215 0.9× 133 0.9× 131 1.0× 81 975
Eun Mi Kim South Korea 11 229 0.8× 169 0.7× 232 1.0× 174 1.2× 223 1.6× 40 958
Maria-Chiara Corti Italy 8 261 0.9× 346 1.3× 248 1.0× 99 0.7× 306 2.2× 8 1.2k
Laura Schiavon Italy 19 307 1.0× 409 1.6× 191 0.8× 83 0.6× 92 0.7× 49 978
Katsuhiko Yano United States 9 287 1.0× 184 0.7× 247 1.0× 129 0.9× 193 1.4× 9 874
Jee‐Jeon Yi South Korea 20 243 0.8× 152 0.6× 226 0.9× 108 0.8× 150 1.1× 46 1.0k
Susan Connolly United Kingdom 15 216 0.7× 437 1.7× 128 0.5× 216 1.5× 75 0.5× 38 1.1k
Eun Young Lee South Korea 17 324 1.1× 216 0.8× 450 1.9× 118 0.8× 180 1.3× 57 1.1k

Countries citing papers authored by Sadatoshi Birou

Since Specialization
Citations

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

Fields of papers citing papers by Sadatoshi Birou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadatoshi Birou

This figure shows the co-authorship network connecting the top 25 collaborators of Sadatoshi Birou. A scholar is included among the top collaborators of Sadatoshi Birou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sadatoshi Birou. Sadatoshi Birou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2014). Familial Hypercholesterolemia. Journal of Atherosclerosis and Thrombosis. 21(3). 289–289. 8 indexed citations
2.
Teramoto, Tamio, Jun Sasaki, Shun Ishibashi, et al.. (2014). Statements. Journal of Atherosclerosis and Thrombosis. 21(4). 299–303. 3 indexed citations
3.
Teramoto, Tamio, Jun Sasaki, Shun Ishibashi, et al.. (2013). Cerebrovascular Diseases. Journal of Atherosclerosis and Thrombosis. 21(3). 175–179. 7 indexed citations
4.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Diagnosis of Atherosclerosis. Journal of Atherosclerosis and Thrombosis. 21(4). 296–298. 23 indexed citations
5.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Cardiovascular Disease Risk Factors Other than Dyslipidemia. Journal of Atherosclerosis and Thrombosis. 20(10). 733–742. 13 indexed citations
6.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Comprehensive Risk Management for the Prevention of Cardiovascular Disease. Journal of Atherosclerosis and Thrombosis. 20(7). 603–615. 35 indexed citations
7.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Coronary Artery Disease. Journal of Atherosclerosis and Thrombosis. 21(2). 86–92. 9 indexed citations
8.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Metabolic Syndrome. Journal of Atherosclerosis and Thrombosis. 21(1). 1–5. 16 indexed citations
9.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Diabetes Mellitus. Journal of Atherosclerosis and Thrombosis. 21(2). 93–98. 17 indexed citations
10.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Other Types of Primary Hyperlipoproteinemia(Hyperlipidemia). Journal of Atherosclerosis and Thrombosis. 21(2). 82–85. 5 indexed citations
11.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Absolute Risk of Cardiovascular Disease and Lipid Management Targets. Journal of Atherosclerosis and Thrombosis. 20(9). 689–697. 9 indexed citations
12.
Teramoto, Tamio, Jun Sasaki, Shun Ishibashi, et al.. (2013). Chronic Kidney Disease. Journal of Atherosclerosis and Thrombosis. 21(3). 173–174. 9 indexed citations
13.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). The Elderly. Journal of Atherosclerosis and Thrombosis. 21(3). 180–185. 1 indexed citations
14.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Diagnostic Criteria for Dyslipidemia. Journal of Atherosclerosis and Thrombosis. 20(8). 655–660. 122 indexed citations
15.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Other High-Risk Conditions. Journal of Atherosclerosis and Thrombosis. 20(11). 785–789. 2 indexed citations
16.
Teramoto, Tamio, Junichi Sasaki, Shun Ishibashi, et al.. (2013). Treatment B) Drug Therapy. Journal of Atherosclerosis and Thrombosis. 20(12). 850–860. 11 indexed citations
17.
Tada, Norio, Chizuko Maruyama, Shinji Koba, et al.. (2011). Japanese Dietary Lifestyle and Cardiovascular Disease. Journal of Atherosclerosis and Thrombosis. 18(9). 723–734. 84 indexed citations
18.
Koba, Shinji, Hiroaki Tanaka, Chizuko Maruyama, et al.. (2011). Physical Activity in the Japan Population: Association with Blood Lipid Levels and Effects in Reducing Cardiovascular and All-Cause Mortality. Journal of Atherosclerosis and Thrombosis. 18(10). 833–845. 48 indexed citations
19.
Saito, Kazuto, et al.. (1986). Diltiazem prevents the damage to cultured aortic smooth muscle cells induced by hyperlipidemic serum. Cellular and Molecular Life Sciences. 42(4). 412–414. 2 indexed citations
20.
Birou, Sadatoshi, et al.. (1986). Preventing Effect of Diltiazem on the Damage of Cultured Aortic Smooth Muscle Cells Induced by Hyperlipidemic Serum. The Journal of Japan Atherosclerosis Society. 14(2). 347–353.

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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