Yuko Kako

2.7k citations
28 papers · 2.1k indexed · 1 hit paper · h-index 22

Yuko Kako

28 papers receiving 2.0k citations

Hit Papers

Tissue-specific overexpression of lipoprotein lipase caus...5932001202620092017100200300400500

Peers

Yuko Kako
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 573
  • Biochemistry 226
  • Cardiology and Cardiovascular Medicine 710
  • Physiology 591
  • Biochemistry 109
Replace Tova Chajek‐Shaul with:
Tova Chajek‐Shaul Israel
Yunying Hu United States
Xian-Cheng Jiang United States
S. Griglio France
Miek C. Jong Netherlands
Naoki Terasaka Japan
Yusaku Mori Japan
Graham F. Maguire Canada
Anne Minnich United States
C.Ronald Kahn United States
Yuko Kako relative to Tova Chajek‐Shaul Israel Tova Chajek‐Shaul's profile →
Citations per field
00.5×3.3×
Tova Chajek‐Shaul · 1×
Citations per year

Countries citing papers authored by Yuko Kako

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Kako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yuko Kako, 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 Yuko Kako Line = papers co-authored together Yuko Kako links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20159
2 20131
3 200923
4 200723
5 200441
6 20034
7 2003307
8 2002101
9 200270
10 200172
11 200149
12
Tissue-specific overexpression of lipoprotein lipase causes tissue-specific insulin resistancebreakdown →
2001593
13 200067
14 200041
15 200082
16 20002
17 199940
18 19984
19 1998133
20 199738

About Yuko Kako

Yuko Kako is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipid metabolism and disorders (11 papers), Lipid metabolism and biosynthesis (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Adipose Tissue and Metabolism (3 papers), Retinoids in leukemia and cellular processes (3 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (573 citations), Biochemistry (226 citations) and Cardiology and Cardiovascular Medicine (710 citations). Yuko Kako has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Ira J. Goldberg, Erlo Lutz, Jan L. Breslow, Hiroaki Yagyu, Ayanna S. Augustus, Jason K. Kim, Marc Pypaert, Jonathan J. Fillmore, Irene K. Moore and Chunli Yu. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism and Proceedings of the National Academy of Sciences.

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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