Tetsutaro Matayoshi

582 total citations
25 papers, 403 citations indexed

About

Tetsutaro Matayoshi is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Tetsutaro Matayoshi has authored 25 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Tetsutaro Matayoshi's work include Blood Pressure and Hypertension Studies (10 papers), Hormonal Regulation and Hypertension (6 papers) and Sodium Intake and Health (5 papers). Tetsutaro Matayoshi is often cited by papers focused on Blood Pressure and Hypertension Studies (10 papers), Hormonal Regulation and Hypertension (6 papers) and Sodium Intake and Health (5 papers). Tetsutaro Matayoshi collaborates with scholars based in Japan, Russia and United States. Tetsutaro Matayoshi's co-authors include Kei Kamide, Yuhei Kawano, Shin Takiuchi, Takeshi Horio, Yoshikazu Miwa, Masayoshi Yoshii, Satoko Nakamura, Fumiki Yoshihara, Toshiyuki Miyata and Hajime Nakahama and has published in prestigious journals such as Hypertension, Journal of Hypertension and Circulation Journal.

In The Last Decade

Tetsutaro Matayoshi

23 papers receiving 389 citations

Peers

Tetsutaro Matayoshi
Sanket Patel United States
Masami Ohrui Japan
Y Ozawa Japan
Pedro Forcada Argentina
Eita Kumagai Japan
Bruno Sevá Pessôa Netherlands
Fredrik von Wowern Sweden
A.H.J. Danser Netherlands
Rieko Hayaishi-Okano Japan
Yuko Tsurumi‐Ikeya Japan
Sanket Patel United States
Tetsutaro Matayoshi
Citations per year, relative to Tetsutaro Matayoshi Tetsutaro Matayoshi (= 1×) peers Sanket Patel

Countries citing papers authored by Tetsutaro Matayoshi

Since Specialization
Citations

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

Fields of papers citing papers by Tetsutaro Matayoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsutaro Matayoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsutaro Matayoshi. A scholar is included among the top collaborators of Tetsutaro Matayoshi 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 Tetsutaro Matayoshi. Tetsutaro Matayoshi 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
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2.
Sakima, Atsushi, Yuya Akagi, Yuichi Akasaki, et al.. (2024). Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis. Hypertension Research. 48(2). 478–491. 6 indexed citations
3.
Sakima, Atsushi, Masanobu Yamazato, Kentaro Kohagura, et al.. (2023). Achievement rate of target blood pressure in patients with hypertension treated by hypertension specialists and non-specialists in a real-world setting. Hypertension Research. 46(11). 2460–2469. 5 indexed citations
4.
Sakima, Atsushi, Tetsutaro Matayoshi, & Hisatomi Arima. (2022). Strategies for improving the treatment and control of hypertension in Japan. Journal of Human Hypertension. 38(6). 510–515. 2 indexed citations
5.
Sakima, Atsushi, Hisatomi Arima, Tetsutaro Matayoshi, Akio Ishida, & Yusuke Ohya. (2021). Effect of Mineralocorticoid Receptor Blockade on Arterial Stiffness and Endothelial Function. Hypertension. 77(3). 929–937. 19 indexed citations
6.
Yamazato, Masanobu, Atsushi Sakima, Akio Ishida, et al.. (2021). Salt and potassium intake evaluated with spot urine and brief questionnaires in combination with blood pressure control status in hypertensive outpatients in a real-world setting. Hypertension Research. 44(10). 1316–1325. 2 indexed citations
7.
Tokuda, Yasuharu, et al.. (2020). Cardiac auscultation skills among junior doctors: effects of sound simulation lesson. International Journal of Medical Education. 11. 107–110. 10 indexed citations
8.
Ohta, Yuko, Yuhei Kawano, Yoshio Iwashima, et al.. (2013). Control of Home Blood Pressure with an Amlodipine- or Losartan-Based Regimen and Progression of Carotid Artery Intima-media Thickness in Hypertensive Patients: The HOSP Substudy. Clinical and Experimental Hypertension. 35(4). 279–284. 5 indexed citations
9.
10.
Horio, T., Kei Kamide, Shin Takiuchi, et al.. (2009). Association of insulin-like growth factor-1 receptor gene polymorphisms with left ventricular mass and geometry in essential hypertension. Journal of Human Hypertension. 24(5). 320–326. 8 indexed citations
11.
Kawano, Yuhei, Takeshi Horio, Tetsutaro Matayoshi, & Kei Kamide. (2008). Masked Hypertension: Subtypes and Target Organ Damage. Clinical and Experimental Hypertension. 30(3-4). 289–296. 33 indexed citations
12.
Yang, Jin, Kei Kamide, Yoshihiro Kokubo, et al.. (2008). Assiciations of Hypertension and Its Complications with Variations in the Xanthine Dehydrogenase Gene. Hypertension Research. 31(5). 931–940. 31 indexed citations
13.
Yasuda, Hisayo, Kei Kamide, Shin Takiuchi, et al.. (2007). Association of single nucleotide polymorphisms in endothelin family genes with the progression of atherosclerosis in patients with essential hypertension. Journal of Human Hypertension. 21(11). 883–892. 33 indexed citations
14.
Matayoshi, Tetsutaro, Kei Kamide, Shin Takiuchi, et al.. (2007). Relationship between Insulin Resistance and the Renin-Angiotensin System: Analysis for Patients with Essential and Renovascular Hypertension. Clinical and Experimental Hypertension. 29(7). 479–487. 11 indexed citations
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Kamide, Kei, Yoshihiro Kokubo, Jing Yang, et al.. (2006). Association of genetic polymorphisms of ACADSB and COMT with human hypertension. Journal of Hypertension. 25(1). 103–110. 25 indexed citations
17.
Kamide, Kei, Yoshihiro Kokubo, Hironori Hanada, et al.. (2006). Genetic Variations of HSD11B2 in Hypertensive Patients and in the General Population, Six Rare Missense/Frameshift Mutations. Hypertension Research. 29(4). 243–252. 14 indexed citations
18.
Matayoshi, Tetsutaro, Kei Kamide, Shin Takiuchi, et al.. (2004). The Thiazide-Sensitive Na+-Cl- Cotransporter Gene, C1784T, and Adrenergic Receptor-β3 Gene, T727C, May Be Gene Polymorphisms Susceptible to the Antihypertensive Effect of Thiazide Diuretics. Hypertension Research. 27(11). 821–833. 36 indexed citations
19.
Takiuchi, Shin, Kei Kamide, Yoshikazu Miwa, et al.. (2003). Diagnostic value of carotid intima–media thickness and plaque score for predicting target organ damage in patients with essential hypertension. Journal of Human Hypertension. 18(1). 17–23. 77 indexed citations
20.
Matayoshi, Tetsutaro, Masatomo Taniguchi, Kyoichi Fukuda, et al.. (2002). Recurrent spontaneous bacterial peritonitis in a patient with liver damage caused by chronic graft versus host disease.. Nihon Naika Gakkai Zasshi. 91(7). 2180–2182.

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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