Tetsuro Yoshida

6.1k total citations · 2 hit papers
41 papers, 980 citations indexed

About

Tetsuro Yoshida is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Tetsuro Yoshida has authored 41 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Genetics. Recurrent topics in Tetsuro Yoshida's work include Blood Pressure and Hypertension Studies (9 papers), Genetic Associations and Epidemiology (9 papers) and Diabetes Treatment and Management (7 papers). Tetsuro Yoshida is often cited by papers focused on Blood Pressure and Hypertension Studies (9 papers), Genetic Associations and Epidemiology (9 papers) and Diabetes Treatment and Management (7 papers). Tetsuro Yoshida collaborates with scholars based in Japan, Czechia and United States. Tetsuro Yoshida's co-authors include Osamu Okazaki, Kiyoshi Yokoi, Kimihiko Kato, Yoshiji Yamada, Kazuomi Kario, Yukitoshi Aoyagi, Satoshi Hoshide, Mitsutoshi Oguri, Sachiro Watanabe and Norifumi Metoki and has published in prestigious journals such as New England Journal of Medicine, Circulation and Hypertension.

In The Last Decade

Tetsuro Yoshida

41 papers receiving 967 citations

Hit Papers

Low-Dose Edoxaban in Very... 2020 2026 2022 2024 2020 2020 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Low-Dose Edoxaban in Very Elderly Patients with Atrial Fibrillation
    2020 187 citations Tetsuro Yoshida, Osamu Okazaki et al. profile →
  2. Nighttime Blood Pressure Phenotype and Cardiovascular Prognosis
    2020 176 citations Kazuomi Kario, Satoshi Hoshide et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuro Yoshida Japan 17 531 181 147 136 118 41 980
Masayoshi Yoshii Japan 17 337 0.6× 226 1.2× 129 0.9× 192 1.4× 54 0.5× 30 764
Akinobu Maeda Japan 18 436 0.8× 186 1.0× 109 0.7× 231 1.7× 80 0.7× 36 758
Andrea Baessler Germany 20 345 0.6× 330 1.8× 187 1.3× 124 0.9× 230 1.9× 53 1.1k
Joerg Kreuzer Germany 11 320 0.6× 123 0.7× 124 0.8× 193 1.4× 163 1.4× 21 732
Sylvanie Renet France 19 511 1.0× 291 1.6× 179 1.2× 184 1.4× 63 0.5× 34 1.0k
Miyuki Onishi Japan 15 403 0.8× 246 1.4× 129 0.9× 96 0.7× 71 0.6× 24 840
Tomikazu Fukuoka Japan 18 422 0.8× 138 0.8× 281 1.9× 226 1.7× 114 1.0× 37 946
Michael D. Brown United States 17 437 0.8× 328 1.8× 113 0.8× 66 0.5× 98 0.8× 37 1.1k
Simone Theilade Denmark 17 446 0.8× 185 1.0× 122 0.8× 219 1.6× 110 0.9× 51 960
Shinji Yasuno Japan 21 688 1.3× 364 2.0× 150 1.0× 219 1.6× 115 1.0× 56 1.2k

Countries citing papers authored by Tetsuro Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Yoshida. A scholar is included among the top collaborators of Tetsuro Yoshida 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 Tetsuro Yoshida. Tetsuro Yoshida 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.
Kario, Kazuomi, Tomoyuki Kabutoya, Masafumi Nishizawa, et al.. (2024). Impact of vascular biomarkers and supine hypertension on cardiovascular outcomes in hypertensive patients: first results from the Cardiovascular Prognostic COUPLING Study in Japan. Hypertension Research. 48(2). 693–701. 3 indexed citations
2.
Kario, Kazuomi, Masafumi Nishizawa, Mitsutoshi Kato, et al.. (2023). Nighttime home blood pressure lowering effect of esaxerenone in patients with uncontrolled nocturnal hypertension: the EARLY-NH study. Hypertension Research. 46(7). 1782–1794. 15 indexed citations
3.
Kario, Kazuomi, Satoshi Hoshide, Hiroyuki Mizuno, et al.. (2022). Nighttime hemodynamic phenotype. A novel risk factor for cardiovascular disease, especially heart failure: the practitioner-based nationwide JAMP study. Clinical Research in Cardiology. 112(1). 98–110. 6 indexed citations
4.
Kario, Kazuomi, Satoshi Hoshide, Hiroyuki Mizuno, et al.. (2020). Nighttime Blood Pressure Phenotype and Cardiovascular Prognosis. Circulation. 142(19). 1810–1820. 176 indexed citations breakdown →
5.
Kario, Kazuomi, Naoko Tomitani, Hiroshi Kanegae, et al.. (2017). LATE BREAKING CLINICAL TRIAL (JCS 2017) : Comparative Effects of an Angiotensin II Receptor Blocker (ARB)/Diuretic vs. ARB/Calcium-Channel Blocker Combination on Uncontrolled Nocturnal Hypertension Evaluated by Information and Communication Technology-Based Nocturnal Home Blood Pressure Monitoring : The NOCTURNE Study. Japanese Circulation Journal-english Edition. 81(7). 948–957. 3 indexed citations
6.
7.
Yoshida, Tetsuro, Mitsuo Kuwabara, Satoshi Hoshide, & Kazuomi Kario. (2016). Recurrence of stroke caused by nocturnal hypoxia-induced blood pressure surge in a young adult male with severe obstructive sleep apnea syndrome. Journal of the American Society of Hypertension. 10(3). 201–204. 17 indexed citations
8.
Kario, Kazuomi, Satoshi Hoshide, Kazuaki Uchiyama, et al.. (2016). Dose Timing of an Angiotensin II Receptor Blocker/Calcium Channel Blocker Combination in Hypertensive Patients With Paroxysmal Atrial Fibrillation. Journal of Clinical Hypertension. 18(10). 1036–1044. 18 indexed citations
9.
Oguri, Mitsutoshi, Koichi Kato, Tetsuro Yoshida, et al.. (2011). Association of a genetic variant of BTN2A1 with metabolic syndrome in East Asian populations. Journal of Medical Genetics. 48(11). 787–792. 14 indexed citations
10.
Oguri, Mitsutoshi, Koichi Kato, Tetsuro Yoshida, et al.. (2011). Association of a polymorphism of BTN2A1 with Type 2 diabetes mellitus in Japanese individuals. Diabetic Medicine. 28(11). 1381–1387. 5 indexed citations
11.
Kato, Kimihiko, Hideki Horibe, Kiyoshi Yokoi, et al.. (2010). Association of genetic variants with myocardial infarction in Japanese individuals with or without metabolic syndrome. Experimental and Therapeutic Medicine. 1(6). 969–975. 3 indexed citations
12.
Fujimaki, Tetsuo, Kimihiko Kato, Kiyoshi Yokoi, et al.. (2009). Association of genetic variants in SEMA3F, CLEC16A, LAMA3, and PCSK2 with myocardial infarction in Japanese individuals. Atherosclerosis. 210(2). 468–473. 20 indexed citations
13.
Oguri, M., K. Kato, Kiyoshi Yokoi, et al.. (2009). Assessment of a Polymorphism of SDK1 With Hypertension in Japanese Individuals. American Journal of Hypertension. 23(1). 70–77. 16 indexed citations
14.
Yoshida, Tetsuro, Kimihiko Kato, Kiyoshi Yokoi, et al.. (2009). Association of candidate gene polymorphisms with chronic kidney disease in Japanese individuals with hypertension. Hypertension Research. 32(5). 411–418. 19 indexed citations
15.
Fujimaki, Tetsuo, Kimihiko Kato, Tetsuro Yoshida, et al.. (2009). Association of genetic variants with myocardial infarction in Japanese individuals with chronic kidney disease. Thrombosis and Haemostasis. 101(5). 963–968. 14 indexed citations
16.
Kato, Kimihiko, Mitsutoshi Oguri, Noriyuki Kato, et al.. (2008). Assessment of Genetic Risk Factors for Thoracic Aortic Aneurysm in Hypertensive Patients. American Journal of Hypertension. 21(9). 1023–1027. 27 indexed citations
17.
Yamada, Yoshiji, Kimihiko Kato, Tetsuro Yoshida, et al.. (2008). Association of polymorphisms of ABCA1 and ROS1 with hypertension in Japanese individuals. International Journal of Molecular Medicine. 21(1). 83–9. 30 indexed citations
18.
Yamada, Yoshiji, Mitsutoshi Oguri, Kazuhiro Yajima, et al.. (2007). PE-502 Cardiac-specific Overexpression of ZAKI-4 β Attenuates LV Hypertrophy and Interstitial Fibrosis, but not Coronary Perivascular Fibrosis, Induced by Angiotensin II(Genetics/Genetically engineered models/Gene therapy-3, The 71st Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 71. 449. 2 indexed citations
19.
Yoshida, Tetsuro, Kazuhiro Yajima, Takeshi Hibino, et al.. (2007). Association of gene polymorphisms with myocardial infarction in individuals with different lipid profiles. International Journal of Molecular Medicine. 20(4). 581–90. 18 indexed citations
20.
Yoshida, Tetsuro, Sei-ichiro SAKATA, Kazuhiro Yajima, et al.. (2004). Two Cases with Renal Infarction Diagnosed in the Early Course Using Contrast-Enhanced CT. Hypertension Research. 27(7). 523–526. 6 indexed citations

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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