Satoshi Yasuda

5.1k total citations · 1 hit paper
93 papers, 3.9k citations indexed

About

Satoshi Yasuda is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Satoshi Yasuda has authored 93 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 19 papers in Cardiology and Cardiovascular Medicine and 19 papers in Physiology. Recurrent topics in Satoshi Yasuda's work include Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (22 papers) and Sphingolipid Metabolism and Signaling (14 papers). Satoshi Yasuda is often cited by papers focused on Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (22 papers) and Sphingolipid Metabolism and Signaling (14 papers). Satoshi Yasuda collaborates with scholars based in Japan, United States and Ireland. Satoshi Yasuda's co-authors include Kentaro Hanada, Masahiro Nishijima, Keigo Kumagai, Masayoshi Fukasawa, Miyuki Kawano‐Kawada, Yukiko Miura, Yoji Sato, Hideo Kanoh, Masahiro Kai and Fumio Sakane and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Satoshi Yasuda

85 papers receiving 3.8k citations

Hit Papers

align trajectories

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.

Molecular machinery for non-vesicular trafficking of ceramide

2003 865 citations Kentaro Hanada, Keigo Kumagai et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Satoshi Yasuda Japan	32	3.0k	976	607	505	346	93	3.9k
John D. McNeish United States	29	2.2k 0.7×	389 0.4×	688 1.1×	502 1.0×	243 0.7×	37	4.4k
Laurens A. van Meeteren Netherlands	27	3.0k 1.0×	1.0k 1.1×	491 0.8×	223 0.4×	266 0.8×	33	3.8k
Bangyan L. Stiles United States	30	3.1k 1.0×	350 0.4×	424 0.7×	655 1.3×	150 0.4×	57	4.7k
Xinjian Li China	34	3.1k 1.0×	353 0.4×	463 0.8×	267 0.5×	173 0.5×	66	4.8k
Susanne Brodesser Germany	33	1.8k 0.6×	533 0.5×	801 1.3×	249 0.5×	267 0.8×	70	3.1k
Andrew L. Markhard United States	11	4.1k 1.4×	844 0.9×	707 1.2×	349 0.7×	163 0.5×	15	5.4k
Monther Abu-Remaileh United States	25	3.2k 1.1×	585 0.6×	721 1.2×	248 0.5×	293 0.8×	40	4.8k
Koji Igarashi Japan	33	3.5k 1.2×	906 0.9×	427 0.7×	420 0.8×	125 0.4×	116	4.8k
Laura Riboni Italy	34	2.6k 0.8×	735 0.8×	575 0.9×	205 0.4×	107 0.3×	121	3.5k
Thierry Grand‐Perret France	14	2.2k 0.7×	529 0.5×	372 0.6×	307 0.6×	146 0.4×	20	3.5k

Countries citing papers authored by Satoshi Yasuda

Since Specialization

Citations

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

Fields of papers citing papers by Satoshi Yasuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yasuda. A scholar is included among the top collaborators of Satoshi Yasuda 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 Satoshi Yasuda. Satoshi Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Watanabe, Takeshi, Shin La Shu, Alberto Del Río-Espínola, et al.. (2025). Evaluating teratoma formation risk of pluripotent stem cell-derived cell therapy products: a consensus recommendation from the Health and Environmental Sciences Institute’s International Cell Therapy Committee. Cytotherapy. 27(9). 1072–1084. 4 indexed citations

Satoh, Taijyu, Saori Yamamoto, Yusuke Yamada, et al.. (2025). Long‐Term Prognostic and Hemodynamic Outcomes of Intensive Immunosuppressive Therapy in Patients With Pulmonary Arterial Hypertension Associated With Connective Tissue Disease. International Journal of Rheumatic Diseases. 28(10). e70431–e70431.

Nochioka, Kotaro, Makoto Nakano, Takashi Shiroto, et al.. (2025). Sex Differences in Sudden Cardiac Death During Long-Term Follow-up in Patients With Chronic Heart Failure　― A Report From the CHART-2 Study ―. Circulation Journal. 89(10). 1644–1651.

Sawada, Rumi, Shinji Kusakawa, Masatoshi Kusuhara, et al.. (2025). Increasing robustness of in vitro assay for immnosuppressive effect of mesenchymal stromal/stem cells: The role of inflammatory cytokine production by peripheral blood mononuclear cells. Regenerative Therapy. 28. 321–332.

Suzuki, Hideaki, Kentaro Takanami, Hideki Ota, et al.. (2024). Reduced 18F-FDG uptake in the basal interventricular septum as a predictor of fatal ventricular arrhythmic events in patients with cardiac sarcoidosis. International Journal of Cardiology. 419. 132686–132686. 1 indexed citations

Honda, Satoshi, Kensaku Nishihira, Sunao Kojima, et al.. (2024). Prognostic Impact of Heart Failure Admission in Survivors of Acute Myocardial Infarction. ESC Heart Failure. 11(4). 2344–2353. 1 indexed citations

Satoh, Taijyu, Kotaro Nochioka, Saori Yamamoto, et al.. (2024). Improving Balloon Pulmonary Angioplasty Through Target Endpoint Optimization With Pressure Catheter and Angiographic Lung Perfusion. JACC: Cardiovascular Interventions. 17(20). 2394–2407. 1 indexed citations

Kitahara, Satoshi, Yu Kataoka, Fumiyuki Otsuka, et al.. (2020). In vivo imaging of vulnerable plaque with intravascular modalities: its advantages and limitations. Cardiovascular Diagnosis and Therapy. 10(5). 1461–1479. 15 indexed citations

Kono, Ken, Rumi Sawada, Takuya Kuroda, et al.. (2019). Development of selective cytotoxic viral vectors for concentration of undifferentiated cells in cardiomyocytes derived from human induced pluripotent stem cells. Scientific Reports. 9(1). 3630–3630. 7 indexed citations

10.

Kamakura, Tsukasa, Mitsuru Wada, Kohei Ishibashi, et al.. (2016). Clinical Characteristics and Prognosis of Patients with Non-Type 1 Brugada-Pattern Electrocardiogram and a History of Ventricular Fibrillation. Circulation. 80. 110. 3 indexed citations

11.

Kono, Ken, Nozomi Takada, Satoshi Yasuda, et al.. (2014). Characterization of the cell growth analysis for detection of immortal cellular impurities in human mesenchymal stem cells. Biologicals. 43(2). 146–149. 18 indexed citations

12.

Noguchi, Teruo, Yoshiaki Morita, Naoaki Yamada, et al.. (2013). Abstract 13432: Clinical Significance of Early Gadolinium Enhancement for Detecting Myocardial Damage in Patients With Takotsubo Cardiomyopathy. Circulation. 128. 1 indexed citations

13.

Kuroda, Takuya, Satoshi Yasuda, & Yoji Sato. (2013). Tumorigenicity Studies for Human Pluripotent Stem Cell-Derived Products. Biological and Pharmaceutical Bulletin. 36(2). 189–192. 48 indexed citations

14.

Kai, Masahiro, Satoshi Yasuda, Shin-ichi Imai, et al.. (2009). Diacylglycerol kinase α enhances protein kinase Cζ‐dependent phosphorylation at Ser311 of p65/RelA subunit of nuclear factor‐κB. FEBS Letters. 583(19). 3265–3268. 32 indexed citations

15.

Kawakami, Akinori, Fumio Sakane, Shin-ichi Imai, et al.. (2007). Rab7 Regulates Maturation of Melanosomal Matrix Protein gp100/Pmel17/Silv. Journal of Investigative Dermatology. 128(1). 143–150. 16 indexed citations

16.

Sakane, Fumio, Shin-ichi Imai, Masahiro Kai, Satoshi Yasuda, & Hideo Kanoh. (2007). Diacylglycerol kinases: Why so many of them?. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1771(7). 793–806. 263 indexed citations

17.

Kataoka, Yu, et al.. (2004). PE-458 Small Vessel and Diffuse Coronary Narrowing Developed in Patients with Impaired Glucose Tolerance : New Parameters for Assessment of Coronary Trees(Diabetes/Obesity 4 (H) : PE78)(Poster Session (English)). Japanese Circulation Journal-english Edition. 68. 474.

18.

Hanada, Kentaro, Keigo Kumagai, Satoshi Yasuda, et al.. (2003). Molecular machinery for non-vesicular trafficking of ceramide. Nature. 426(6968). 803–809. 865 indexed citations breakdown →

19.

Bejaoui, Khemissa, Yoshikazu Uchida, Satoshi Yasuda, et al.. (2002). Hereditary sensory neuropathy type 1 mutations confer dominant negative effects on serine palmitoyltransferase, critical for sphingolipid synthesis. Journal of Clinical Investigation. 110(9). 1301–1308. 67 indexed citations

20.

Funakoshi, Tomoko, Satoshi Yasuda, Masayoshi Fukasawa, Masahiro Nishijima, & Kentaro Hanada. (2000). Reconstitution of ATP- and Cytosol-dependent Transport of de Novo Synthesized Ceramide to the Site of Sphingomyelin Synthesis in Semi-intact Cells. Journal of Biological Chemistry. 275(39). 29938–29945. 51 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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