Maki Iizuka

895 citations
19 papers · 744 indexed · h-index 15

Maki Iizuka

18 papers receiving 724 citations

Peers

Maki Iizuka
Comparison fields: 5 of 93
  • Biochemistry 123
  • Endocrinology, Diabetes and Metabolism 157
  • Cancer Research 107
  • Nutrition and Dietetics 99
  • Surgery 256
Replace Harumi Uto‐Kondo with:
Harumi Uto‐Kondo Japan
Hideaki Kurata Japan
Saverio Massimo Lepore Italy
Doris M. Tham United States
Sattar Gorgani‐Firuzjaee Iran
Elizabeth Hijona Spain
In-Sun Park South Korea
Óscar Escribano Spain
Ruozhi Zhao Canada
Xiaobo Lin United States
Maki Iizuka relative to Harumi Uto‐Kondo Japan Harumi Uto‐Kondo's profile →
Citations per field
00.5×1.5×
Harumi Uto‐Kondo · 1×
Citations per year

Countries citing papers authored by Maki Iizuka

Since Specialization
Citations

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

Fields of papers citing papers by Maki Iizuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Maki Iizuka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maki Iizuka Line = papers co-authored together Maki Iizuka links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201822
2 201425
3 201311
4 20134
5 2013107
6 20130
7 201248
8 201248
9 201224
10 201115
11 201190
12 201144
13 201133
14 201180
15
Abstract 15463: Pioglitazone Enhances Cholesterol Efflux From Macrophages by Increasing ABCA1/ABCG1 Expressions via LXR{alpha}/PPAR{gamma} Pathway: Findings From in vitro and ex vivo Studies
20104
16 201016
17 200990
18 200939
19
Repairability of drug-induced "wavy ribs" in rat offspring.
198244

About Maki Iizuka

Maki Iizuka is a scholar working on Anatomy, Biochemistry and Cancer Research, having authored 19 papers that have together received 744 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Cancer, Lipids, and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Biochemistry (123 citations), Endocrinology, Diabetes and Metabolism (157 citations) and Cancer Research (107 citations). Maki Iizuka has collaborated with scholars based in Japan and Norway. Frequent co-authors include Harumi Uto‐Kondo, Kazuo Kondo, Yoshimi Kishimoto, Tomohiro Komatsu, Katsunori Ikewaki, Makoto Ayaori, Shunichi Takiguchi, Mariko Tani, Emi Saita and Emi Yakushiji. Their work appears in journals such as Circulation, Stroke and Arteriosclerosis Thrombosis and Vascular Biology.

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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