Makoto Miyazaki

12.3k citations
137 papers · 10.0k indexed · 2 hit papers · h-index 53
Topics
Cholesterol and Lipid Metabolism (33 papers)Peroxisome Proliferator-Activated Receptors (30 papers)Fatty Acid Research and Health (18 papers)

In The Last Decade

Makoto Miyazaki

133 papers receiving 9.7k citations

Hit Papers

Loss of stearoyl–CoA desaturase-1 function protects mice ...200220262010201820022002250500750

Peers

Makoto Miyazaki
Comparison fields: 5 of 149
  • Molecular Biology 4.3k
  • Physiology 2.7k
  • Surgery 2.3k
  • Epidemiology 2.3k
  • Nutrition and Dietetics 2.3k
Replace William S. Blaner with:
William S. Blaner United States
Nada A. Abumrad United States
David Bernlohr United States
Makoto Makishima Japan
Robert Salvayre France
Norbert Leitinger United States
José C. Fernández‐Checa Spain
Tohru Fukai United States
Rosario Scalia United States
Jean E. Schaffer United States
Makoto Miyazaki relative to William S. Blaner United States William S. Blaner's profile →
Citations per field
00.5×1.6×
William S. Blaner · 1×
Citations per year

Countries citing papers authored by Makoto Miyazaki

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Miyazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Miyazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Miyazaki. A scholar is included among the top collaborators of Makoto Miyazaki 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 Makoto Miyazaki. Makoto Miyazaki 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
#WorkIndexed citations
1 1
2 1
3 2
4 1
5 0
6 20
7 8
8 8
9 100
10 197
11
Abstract 18763: Macrophage-Specific Deletion of Ccaat/Enhancer Protein Beta (C/ebpβ) in ApoE−/− Mice Attenuates Inflammation, Atherosclerosis, and Foam Cell Formation
1
12 65
13 0
14 175
15 105
16 150
17 60
18 309
19 1
20 24

About Makoto Miyazaki

Makoto Miyazaki is a scholar working on Biochemistry, Nephrology and Nutrition and Dietetics, having authored 137 papers that have together received 10.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (33 papers), Peroxisome Proliferator-Activated Receptors (30 papers) and Fatty Acid Research and Health (18 papers). The work is most often cited by research in Biochemistry (2.2k citations), Nutrition and Dietetics (2.3k citations) and Physiology (2.7k citations). Makoto Miyazaki has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include James M. Ntambi, Agnieszka Dobrzyń, Weng Chi Man, Paul Cohen, Jeffrey M. Friedman, Kiki Chu, Alan Attie, Harini Sampath, Paweł Dobrzyń and Young‐Cheul Kim. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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2026