Yoko Iizuka

7.7k citations
65 papers · 5.9k indexed · 1 hit paper · h-index 32
Topics
Cholesterol and Lipid Metabolism (24 papers)Peroxisome Proliferator-Activated Receptors (21 papers)Cancer, Lipids, and Metabolism (14 papers)

In The Last Decade

Yoko Iizuka

65 papers receiving 5.8k citations

Hit Papers

Sterol Regulatory Element-binding Protein-1 as a Key Tran...19992026200820171999100200300400500

Peers

Yoko Iizuka
Comparison fields: 5 of 116
  • Molecular Biology 3.1k
  • Surgery 2.2k
  • Biochemistry 1.2k
  • Epidemiology 1.1k
  • Physiology 1.1k
Replace David L. Silver with:
David L. Silver United States
Takanari Gotoda Japan
Yoshiaki Tamura Japan
Ken Ohashi Japan
Jun-ichi Osuga Japan
Inès Pineda‐Torra United Kingdom
Ángela M. Valverde Spain
Taixing Cui United States
Ruth E. Gimeno United States
Agnieszka Dobrzyń Poland
Yoko Iizuka relative to David L. Silver United States David L. Silver's profile →
Citations per field
00.5×1.5×
David L. Silver · 1×
Citations per year

Countries citing papers authored by Yoko Iizuka

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Iizuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Iizuka

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Iizuka. A scholar is included among the top collaborators of Yoko Iizuka 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 Yoko Iizuka. Yoko Iizuka 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 26
2 4
3 10
4 4
5 7
6 12
7 205
8 4
9 11
10 36
11 102
12 50
13 150
14 301
15 31
16 10
17 221
18 8
19 25
20
Sterol Regulatory Element-binding Protein-1 as a Key Transcription Factor for Nutritional Induction of Lipogenic Enzyme Genesbreakdown →
590

About Yoko Iizuka

Yoko Iizuka is a scholar working on Biochemistry, Cancer Research and Endocrine and Autonomic Systems, having authored 65 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (24 papers), Peroxisome Proliferator-Activated Receptors (21 papers) and Cancer, Lipids, and Metabolism (14 papers). The work is most often cited by research in Biochemistry (1.2k citations), Cancer Research (1.0k citations) and Surgery (2.2k citations). Yoko Iizuka has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Shun Ishibashi, Naoya Yahagi, Jun-ichi Osuga, Nobuhiro Yamada, Hitoshi Shimano, Ken Ohashi, Yoshiaki Tamura, Takanari Gotoda, Hiroaki Okazaki and Michiyo Amemiya-Kudo. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Diabetes.

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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