Yuichi Akasaki

2.0k total citations
42 papers, 1.4k citations indexed

About

Yuichi Akasaki is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Yuichi Akasaki has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Yuichi Akasaki's work include Blood Pressure and Hypertension Studies (10 papers), Mitochondrial Function and Pathology (4 papers) and Adipose Tissue and Metabolism (4 papers). Yuichi Akasaki is often cited by papers focused on Blood Pressure and Hypertension Studies (10 papers), Mitochondrial Function and Pathology (4 papers) and Adipose Tissue and Metabolism (4 papers). Yuichi Akasaki collaborates with scholars based in Japan, United States and Malaysia. Yuichi Akasaki's co-authors include Kenneth Walsh, Noriyuki Ouchi, Yasuhiro Izumiya, Alexei Kharitonenkov, Holly A. Bina, Yoshiyuki Ikeda, Rei Shibata, Yuichi Oshima, Noyan Gokce and Akiko Higuchi and has published in prestigious journals such as Science, Journal of Biological Chemistry and Circulation.

In The Last Decade

Yuichi Akasaki

36 papers receiving 1.4k citations

Peers

Yuichi Akasaki
Yuichi Akasaki
Citations per year, relative to Yuichi Akasaki Yuichi Akasaki (= 1×) peers Guangda Xiang

Countries citing papers authored by Yuichi Akasaki

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Akasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Akasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Akasaki. A scholar is included among the top collaborators of Yuichi Akasaki 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 Yuichi Akasaki. Yuichi Akasaki 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.
Shibata, Keisuke, Yuichi Akasaki, Akihiro Tokushige, et al.. (2025). Blood pressure elevations post-lenvatinib treatment in hepatocellular carcinoma: a potential marker for better prognosis. Hypertension Research. 48(4). 1542–1553.
2.
Akasaki, Yuichi, Yasunori Suematsu, Kengo Azushima, et al.. (2025). Impact of patient care teams on blood pressure control in patients with hypertension: a systematic review and meta-analysis. Hypertension Research. 48(6). 1827–1838. 3 indexed citations
3.
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
4.
Akasaki, Yuichi. (2024). Once-daily Extended-Release Pemafibrate Enhances Adherence and Triglyceride Control Over Twice-Daily Dosing. Journal of Atherosclerosis and Thrombosis. 31(11). 1512–1514.
5.
Miyata, Masaaki, Masayuki Kuroda, Junko Miyoshi, et al.. (2024). Novel pathogenic variant in the LCAT gene in a compound heterozygous patient with fish-eye disease and a mild phenotype. Journal of clinical lipidology. 19(1). 125–133.
6.
Kubozono, Takuro, Yuichi Akasaki, Shin Kawasoe, et al.. (2023). Relationship between defecation status and blood pressure level or blood pressure variability. Hypertension Research. 47(1). 128–136. 6 indexed citations
7.
Akasaki, Yuichi, Shin Kawasoe, Takuro Kubozono, et al.. (2023). Triglyceride-glucose index predicts future chronic kidney disease development in all populations, including normotensive and isolated diastolic hypertension. Hypertension Research. 47(1). 149–156. 4 indexed citations
8.
Kanouchi, Hiroaki, Akiko Kuwabara, Shigeo Takenaka, et al.. (2022). Association of blood pressure and dietary intake of Sunomono, Japanese vinegared side dishes, in community-dwelling Japanese: A cross-sectional study. Heliyon. 8(5). e09505–e09505.
9.
Kubozono, Takuro, Shin Kawasoe, Yuichi Akasaki, et al.. (2022). Insufficient blood pressure control is independently associated with increased arterial stiffness. Hypertension Research. 45(12). 1861–1868. 4 indexed citations
10.
Ohishi, Mitsuru, Takuro Kubozono, Koji Higuchi, & Yuichi Akasaki. (2021). Hypertension, cardiovascular disease, and nocturia: a systematic review of the pathophysiological mechanisms. Hypertension Research. 44(7). 733–739. 19 indexed citations
11.
Kubozono, Takuro, Yuichi Akasaki, Shin Kawasoe, et al.. (2021). The relationship between day-to-day variability in home blood pressure measurement and multiple organ function. Hypertension Research. 45(3). 474–482. 6 indexed citations
12.
Kubozono, Takuro, Yuichi Akasaki, Shin Kawasoe, et al.. (2020). The relationship between home blood pressure measurement and room temperature in a Japanese general population. Hypertension Research. 44(4). 454–463. 8 indexed citations
13.
Yamada, Yasutoshi, Hideki Enokida, Masato Minami, et al.. (2020). Successful Kidney Transplantation Alone With Severe Left Ventricular Systolic Dysfunction of Ejection Fraction 14%: A Case Report. Transplantation Proceedings. 52(6). 1919–1923. 1 indexed citations
14.
Akasaki, Yuichi, Noriyuki Ouchi, Yasuhiro Izumiya, et al.. (2013). Glycolytic fast‐twitch muscle fiber restoration counters adverse age‐related changes in body composition and metabolism. Aging Cell. 13(1). 80–91. 74 indexed citations
15.
Ouchi, Noriyuki, Akiko Higuchi, Koji Ohashi, et al.. (2010). Sfrp5 Is an Anti-Inflammatory Adipokine That Modulates Metabolic Dysfunction in Obesity. Science. 329(5990). 454–457. 392 indexed citations
16.
Zeng, Ling, Yuichi Akasaki, Kaori Sato, et al.. (2010). Insulin-like 6 Is Induced by Muscle Injury and Functions as a Regenerative Factor. Journal of Biological Chemistry. 285(46). 36060–36069. 36 indexed citations
17.
Shinsato, Takuro, Masaaki Miyata, Takuro Kubozono, et al.. (2010). Waon therapy mobilizes CD34+ cells and improves peripheral arterial disease. Journal of Cardiology. 56(3). 361–366. 44 indexed citations
18.
Izumiya, Yasuhiro, Holly A. Bina, Noriyuki Ouchi, et al.. (2008). FGF21 is an Akt‐regulated myokine. FEBS Letters. 582(27). 3805–3810. 345 indexed citations
19.
Eto, Hideyuki, Masaaki Miyata, Takahiro Shirasawa, et al.. (2008). The Long-Term Effect of Angiotensin II Type 1a Receptor Deficiency on Hypercholesterolemia-Induced Atherosclerosis. Hypertension Research. 31(8). 1631–1642. 25 indexed citations
20.
Fujiwara, Hiroshi, Naomichi Arima, Yuichi Akasaki, et al.. (2002). Interferon-α Therapy following Autologous Peripheral Blood Stem Cell Transplantation for Adult T Cell Leukemia/Lymphoma. Acta Haematologica. 107(4). 213–219. 9 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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