Kan Liao

1.8k citations
36 papers · 1.5k · h-index 20

Impact in

    • Caveolin-1 and cellular processes
    • Microtubule and mitosis dynamics
    • Lipid metabolism and biosynthesis

Papers in

    • Metabolism, Diabetes, and Cancer 8
    • Peroxisome Proliferator-Activated Receptors 4
    • Protein Tyrosine Phosphatases 4
    • RNA modifications and cancer 3
    • Caveolin-1 and cellular processes 7

Kan Liao

35 papers receiving 1.5k citations

Peers

Kan Liao
Comparison fields: 5 of 91
  • Cell Biology 305
  • Biochemistry 130
  • Molecular Biology 892
  • Physiology 314
  • Immunology and Allergy 51
Replace Tetsuya Hirabayashi with:
Tetsuya Hirabayashi Japan
Guy E. Groblewski United States
Brent C. Reed United States
Anutosh Chakraborty United States
Seiko Masuda Japan
Yasuomi Urano Japan
Shane Scoggin United States
J. Antonie Maassen Netherlands
Andrea R. Schievella United States
Michelle V. Winstead United States
Kan Liao relative to Tetsuya Hirabayashi Japan Tetsuya Hirabayashi's profile →
Citations per field
00.5×1.7×
Tetsuya Hirabayashi · 1×
Citations per year

Countries citing papers authored by Kan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Kan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004188
2 2009132
3 2003125
4 2001124
5 2019113
6 2000104
7 201266
8 200962
9 200860
10 201157
11 200955
12 200954
13 200044
14 200732
15 199528
16 201928
17 200927
18 200926
19 199024
20 200924

About Kan Liao

Kan Liao is a scholar working on Molecular Biology, Cell Biology, Physiology, Epidemiology and Cancer Research, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Caveolin-1 and cellular processes (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Protein Tyrosine Phosphatases (4 papers), RNA modifications and cancer (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cell Biology (305 citations), Biochemistry (130 citations), Molecular Biology (892 citations), Physiology (314 citations) and Immunology and Allergy (51 citations). Kan Liao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinfei Xu, Shangyu Hong, Manrong Jiang, Hongzhong Wang, Xiudan Zheng, Shuo Shi, Di Zhu, Wenqi Wang, Zilong Qiu and Hairong Huo. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Biochemical and Biophysical Research Communications, Acta Biochimica et Biophysica Sinica and Journal of Cell Science.

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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