Daisaku Masuda

4.0k total citations
96 papers, 2.5k citations indexed

About

Daisaku Masuda is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daisaku Masuda has authored 96 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Surgery, 36 papers in Cardiology and Cardiovascular Medicine and 36 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daisaku Masuda's work include Diabetes, Cardiovascular Risks, and Lipoproteins (27 papers), Lipoproteins and Cardiovascular Health (26 papers) and Lipid metabolism and disorders (20 papers). Daisaku Masuda is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (27 papers), Lipoproteins and Cardiovascular Health (26 papers) and Lipid metabolism and disorders (20 papers). Daisaku Masuda collaborates with scholars based in Japan, United States and Hong Kong. Daisaku Masuda's co-authors include Shizuya Yamashita, Shizuya Yamashita, Yūji Matsuzawa, Makoto Nishida, Kazumi Tsubakio‐Yamamoto, Tohru Ohama, Masahiro Koseki, Yumiko Nakagawa-Toyama, Masato Ishigami and Miyako Yuasa‐Kawase and has published in prestigious journals such as Nucleic Acids Research, Circulation and The Journal of Immunology.

In The Last Decade

Daisaku Masuda

95 papers receiving 2.5k citations

Peers

Daisaku Masuda
Josep Julve Spain
Saša Frank Austria
Kyriakos E. Kypreos Greece
Shojiro Sawada Japan
Tatsuro Ishida Japan
Hung D. Tran United States
Daoquan Peng China
Sanja Levak‐Frank Austria
Kosuke Azuma Japan
Marina Cardellini Italy
Josep Julve Spain
Daisaku Masuda
Citations per year, relative to Daisaku Masuda Daisaku Masuda (= 1×) peers Josep Julve

Countries citing papers authored by Daisaku Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Daisaku Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisaku Masuda

This figure shows the co-authorship network connecting the top 25 collaborators of Daisaku Masuda. A scholar is included among the top collaborators of Daisaku Masuda 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 Daisaku Masuda. Daisaku Masuda 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.
Masuda, Daisaku, Takeshi Okada, Kazuaki Takafuji, et al.. (2024). Proteomic Analysis of Human Chylomicron Remnants Isolated by Apolipoprotein B-48 Immunoprecipitation. Journal of Atherosclerosis and Thrombosis. 32(2). 226–238. 1 indexed citations
2.
Yamashita, Shizuya, Manfredi Rizzo, Ta‐Chen Su, & Daisaku Masuda. (2023). Novel Selective PPARα Modulator Pemafibrate for Dyslipidemia, Nonalcoholic Fatty Liver Disease (NAFLD), and Atherosclerosis. Metabolites. 13(5). 626–626. 20 indexed citations
3.
4.
Zhu, Yinghong, Tohru Ohama, Ryota Kawase, et al.. (2019). Progranulin deficiency leads to enhanced age-related cardiac hypertrophy through complement C1q-induced β-catenin activation. Journal of Molecular and Cellular Cardiology. 138. 197–211. 12 indexed citations
5.
Masuda, Daisaku, Takuya Kobayashi, Takeshi Okada, et al.. (2016). Abstract 16439: Proteomic Analysis of Atherogenic Chylomicron Remnants Isolated Selectively From Human Serum. Circulation. 1 indexed citations
6.
Hu, Miao, Ya‐Ling Yang, Chi‐Fai Ng, et al.. (2015). Effects of Phenotypic and Genotypic Factors on the Lipid Responses to Niacin in Chinese Patients With Dyslipidemia. Medicine. 94(20). e881–e881. 6 indexed citations
7.
Eguchi, Ai, Satoshi Tsuzuki, Shigenobu Matsumura, et al.. (2015). Expression of CD36 by Olfactory Receptor Cells and Its Abundance on the Epithelial Surface in Mice. PLoS ONE. 10(7). e0133412–e0133412. 22 indexed citations
8.
Masuda, Daisaku, Takuya Kobayashi, Takeshi Okada, et al.. (2014). Abstract 14993: Proteomic Analysis of Chylomicron Remnants Isolated by Apolipoprotein B-48 Immunoprecipitation. Circulation. 130. 1 indexed citations
9.
Hoson, Takayuki, Kouichi Soga, Kazuyuki Wakabayashi, et al.. (2013). Growth stimulation in inflorescences of an A rabidopsis tubulin mutant under microgravity conditions in space. Plant Biology. 16(s1). 91–96. 38 indexed citations
10.
Nakatani, Kazuhiro, Daisaku Masuda, Toru Oka, et al.. (2013). Abstract 12900: Pressure Overload Induces Hypertrophy and Impaired Cardiac Function in Long-chain Fatty Acid Transporter CD36 Knockout Mice. Circulation. 128. 1 indexed citations
11.
Masuda, Daisaku, Kenichi Tsujii, Miwako Inagaki, et al.. (2012). Correlation of fasting serum apolipoprotein B‐48 with coronary artery disease prevalence. European Journal of Clinical Investigation. 42(9). 992–999. 48 indexed citations
12.
Masuda, Daisaku, Naohiko Sakai, Ryota Kawase, et al.. (2011). Fasting Serum Apolipoprotein B-48 Can be a Marker of Postprandial Hyperlipidemia. Journal of Atherosclerosis and Thrombosis. 18(12). 1062–1070. 40 indexed citations
13.
Ito, Noritoshi, Shinsuke Nanto, Ken Nagao, et al.. (2011). REGIONAL CEREBRAL OXYGEN SATURATION: A NOVEL INDEX FOR PROMPT CLINICAL OUTCOME PREDICTION BEFORE STARTING EXTRACORPOREAL CARDIOPULMONARY RESUSCITATION IN OUT OF HOSPITAL CARDIAC ARREST PATIENTS. Journal of the American College of Cardiology. 57(14). E908–E908. 2 indexed citations
14.
Nakatani, Kazuhiro, Daisaku Masuda, Tomoko Oya, et al.. (2011). Serum apolipoprotein B-48 levels are correlated with carotid intima-media thickness in subjects with normal serum triglyceride levels. Atherosclerosis. 218(1). 226–232. 31 indexed citations
15.
Masuda, Daisaku, Yumiko Nakagawa-Toyama, Kazuhiro Nakatani, et al.. (2009). Ezetimibe improves postprandial hyperlipidaemia in patients with type IIb hyperlipidaemia. European Journal of Clinical Investigation. 39(8). 689–698. 76 indexed citations
16.
Masuda, Daisaku, Ken‐ichi Hirano, Hiroyuki Oku, et al.. (2008). Chylomicron remnants are increased in the postprandial state in CD36 deficiency. Journal of Lipid Research. 50(5). 999–1011. 87 indexed citations
17.
Yamashita, Shizuya, Mitsuhiro Nakamura, Hiroyuki Oku, et al.. (2008). Evaluation of a Homogeneous Assay for Measuring LDL-cholesterol in Hyperlipidemic Serum Specimens. Journal of Atherosclerosis and Thrombosis. 15(2). 82–86. 12 indexed citations
18.
Ikeda, Yasutaka, Akira Murakami, Yoshinori Fujimura, et al.. (2007). Aggregated Ursolic Acid, a Natural Triterpenoid, Induces IL-1β Release from Murine Peritoneal Macrophages: Role of CD36. The Journal of Immunology. 178(8). 4854–4864. 64 indexed citations
19.
Matsuura, Fumihiko, Hiroyuki Oku, Masahiro Koseki, et al.. (2007). Adiponectin accelerates reverse cholesterol transport by increasing high density lipoprotein assembly in the liver. Biochemical and Biophysical Research Communications. 358(4). 1091–1095. 126 indexed citations
20.

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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