Andrew Kuo

1.3k citations
22 papers · 729 · h-index 15

Impact in

    • Lipid metabolism and biosynthesis
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

    • Sphingolipid Metabolism and Signaling 10
    • Ion Transport and Channel Regulation 2
    • Caveolin-1 and cellular processes 3
    • Endoplasmic Reticulum Stress and Disease 2

Andrew Kuo

21 papers receiving 722 citations

Peers

Andrew Kuo
Comparison fields: 5 of 78
  • Biochemistry 93
  • Cell Biology 145
  • Cancer Research 82
  • Molecular Biology 393
  • Physiology 93
Replace Colin T. Stomberski with:
Colin T. Stomberski United States
Christine Bénistant France
Christian Bindesbøll Norway
Non Miyata Japan
Hassan Mziaut Germany
Valeria G. Antico Arciuch Argentina
Reigh-Yi Lin United States
Madhura Kulkarni United States
Chiya Kosaka Japan
Francesco Bellomo Italy
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Citations per field
00.5×3.1×
Colin T. Stomberski · 1×
Citations per year

Countries citing papers authored by Andrew Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017121
2 201193
3 201767
4 201463
5 202454
6 201951
7 202042
8 201940
9 202438
10 202034
11 201128
12 199527
13 201920
14 202214
15 202314
16 20246
17 20224
18 20234
19 20253
20 20203

About Andrew Kuo

Andrew Kuo is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Immunology and Ophthalmology, having authored 22 papers that have together received 729 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), Lipid metabolism and biosynthesis (3 papers), Retinal Diseases and Treatments (3 papers), Caveolin-1 and cellular processes (3 papers), Lipid metabolism and disorders (3 papers), Ion Transport and Channel Regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Biochemistry (93 citations), Cell Biology (145 citations), Cancer Research (82 citations), Molecular Biology (393 citations) and Physiology (93 citations). Andrew Kuo has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include William C. Sessa, Monica Y. Lee, Timothy Hla, Kenneth Harrison, Eon Joo Park, Kui Yang, Richard W. Gross, Charles J. Waechter, Ningguo Gao and Mark A. Lehrman. Their work appears in journals such as eLife, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, Angiogenesis and American Journal of Industrial Medicine.

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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