Daisuke Yamamuro

443 total citations
18 papers, 322 citations indexed

About

Daisuke Yamamuro is a scholar working on Surgery, Molecular Biology and Biochemistry. According to data from OpenAlex, Daisuke Yamamuro has authored 18 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 7 papers in Molecular Biology and 5 papers in Biochemistry. Recurrent topics in Daisuke Yamamuro's work include Cholesterol and Lipid Metabolism (10 papers), Lipid metabolism and biosynthesis (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Daisuke Yamamuro is often cited by papers focused on Cholesterol and Lipid Metabolism (10 papers), Lipid metabolism and biosynthesis (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Daisuke Yamamuro collaborates with scholars based in Japan, Netherlands and Germany. Daisuke Yamamuro's co-authors include Shun Ishibashi, Shuichi Nagashima, K Sakai, Ken Ebihara, Manabu Takahashi, Jun-ichi Osuga, Manabu Takahashi, Motohiro Sekiya, Hiroaki Okazaki and Taichi Ohshiro and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Daisuke Yamamuro

18 papers receiving 320 citations

Peers

Daisuke Yamamuro
Jennie G. Ono United States
Gregor Lorbek Slovenia
Hueng-Sik Choi South Korea
Rashmi Krishnapuram United States
Melissa I. Niesen United States
Benjamin Drew Rockett United States
Daisuke Yamamuro
Citations per year, relative to Daisuke Yamamuro Daisuke Yamamuro (= 1×) peers Nimai Chand Chandra

Countries citing papers authored by Daisuke Yamamuro

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Yamamuro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Yamamuro

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

All Works

18 of 18 papers shown
1.
Yamada, Naoya, Tadayoshi Karasawa, Junya Ito, et al.. (2024). Inhibition of 7-dehydrocholesterol reductase prevents hepatic ferroptosis under an active state of sterol synthesis. Nature Communications. 15(1). 38 indexed citations
2.
Kondo, Yasuyuki, Kenta Okada, Daisuke Yamamuro, et al.. (2022). Serum 25-hydroxycholesterol levels are increased in patients with coronavirus disease 2019. Journal of clinical lipidology. 17(1). 78–86. 8 indexed citations
3.
Shibuya, Koji, Ken Ebihara, Daisuke Yamamuro, et al.. (2022). AAA-ATPase valosin-containing protein binds the transcription factor SREBP1 and promotes its proteolytic activation by rhomboid protease RHBDL4. Journal of Biological Chemistry. 298(6). 101936–101936. 6 indexed citations
4.
Takahashi, Manabu, Daisuke Yamamuro, Shuichi Nagashima, et al.. (2022). Loss of myeloid lipoprotein lipase exacerbates adipose tissue fibrosis with collagen VI deposition and hyperlipidemia in leptin-deficient obese mice. Journal of Biological Chemistry. 298(9). 102322–102322. 2 indexed citations
5.
Ebihara, Ken, Akiko Murakami, Koji Shibuya, et al.. (2021). Leptin sensitizing effect of 1,3-butanediol and its potential mechanism. Scientific Reports. 11(1). 17691–17691. 14 indexed citations
6.
Yamamuro, Daisuke, Jun-ichi Osuga, Kenta Okada, et al.. (2020). Esterification of 4β-hydroxycholesterol and other oxysterols in human plasma occurs independently of LCAT. Journal of Lipid Research. 61(9). 1287–1299. 9 indexed citations
7.
Yamamuro, Daisuke, Manabu Takahashi, Shuichi Nagashima, et al.. (2020). Peripheral circadian rhythms in the liver and white adipose tissue of mice are attenuated by constant light and restored by time-restricted feeding. PLoS ONE. 15(6). e0234439–e0234439. 30 indexed citations
8.
Nagashima, Shuichi, Daisuke Yamamuro, Akiko Murakami, et al.. (2020). β-Cell–Specific Deletion of HMG-CoA (3-hydroxy-3-methylglutaryl-coenzyme A) Reductase Causes Overt Diabetes due to Reduction of β-Cell Mass and Impaired Insulin Secretion. Diabetes. 69(11). 2352–2363. 27 indexed citations
9.
Nagashima, Shuichi, Daisuke Yamamuro, Akiko Murakami, et al.. (2019). Myeloid HMG-CoA Reductase Determines Adipose Tissue Inflammation, Insulin Resistance, and Hepatic Steatosis in Diet-Induced Obese Mice. Diabetes. 69(2). 158–164. 23 indexed citations
10.
Takahashi, Manabu, K Sakai, Daisuke Yamamuro, et al.. (2018). Loss of ACAT1 Attenuates Atherosclerosis Aggravated by Loss of NCEH1 in Bone Marrow-Derived Cells. Journal of Atherosclerosis and Thrombosis. 26(3). 246–259. 4 indexed citations
11.
Sakai, K, Shuichi Nagashima, Hiroko Hayakawa, et al.. (2018). Myeloid HMG-CoA (3-Hydroxy-3-Methylglutaryl-Coenzyme A) Reductase Determines Atherosclerosis by Modulating Migration of Macrophages. Arteriosclerosis Thrombosis and Vascular Biology. 38(11). 2590–2600. 26 indexed citations
12.
Takahashi, Manabu, Daisuke Yamamuro, Tadayoshi Karasawa, et al.. (2018). Inflammasome Activation Aggravates Cutaneous Xanthomatosis and Atherosclerosis in ACAT1 (Acyl-CoA Cholesterol Acyltransferase 1) Deficiency in Bone Marrow. Arteriosclerosis Thrombosis and Vascular Biology. 38(11). 2576–2589. 15 indexed citations
13.
Nagashima, Shuichi, Hiroaki Yagyu, Ryuichi Tozawa, et al.. (2015). Plasma cholesterol-lowering and transient liver dysfunction in mice lacking squalene synthase in the liver. Journal of Lipid Research. 56(5). 998–1005. 15 indexed citations
14.
Sakai, K, Masaki Igarashi, Daisuke Yamamuro, et al.. (2014). Critical role of neutral cholesteryl ester hydrolase 1 in cholesteryl ester hydrolysis in murine macrophages. Journal of Lipid Research. 55(10). 2033–2040. 34 indexed citations
15.
Sekiya, Motohiro, Daisuke Yamamuro, Taichi Ohshiro, et al.. (2014). Absence of Nceh1 augments 25-hydroxycholesterol-induced ER stress and apoptosis in macrophages. Journal of Lipid Research. 55(10). 2082–2092. 34 indexed citations
16.
Yamamuro, Daisuke, Ryuji Uchida, Masaki Ohtawa, et al.. (2014). Synthesis and biological activity of 5-(4-methoxyphenyl)-oxazole derivatives. Bioorganic & Medicinal Chemistry Letters. 25(2). 313–316. 24 indexed citations
17.
Nagashima, Shuichi, Naoko Saito, Akihiko Ando, et al.. (2014). Successful pregnancy outcomes in a patient with type A insulin resistance syndrome. Diabetic Medicine. 32(6). e16–9. 7 indexed citations
18.
Yamamuro, Daisuke, Ryuji Uchida, Yōko Takahashi, Rokuro Masuma, & Hiroshi Tomoda. (2011). Screening for Microbial Metabolites Affecting Phenotype of <i>Caenorhabditis elegans</i>. Biological and Pharmaceutical Bulletin. 34(10). 1619–1623. 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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