Ke Guo

3.8k citations
68 papers · 3.1k · h-index 28

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Protein Tyrosine Phosphatases 15
    • Glycosylation and Glycoproteins Research 5
    • Cell death mechanisms and regulation 4
    • Galectins and Cancer Biology 10

Ke Guo

67 papers receiving 3.1k citations

Peers

Ke Guo
Comparison fields: 5 of 115
  • Cell Biology 723
  • Cancer Research 565
  • Molecular Biology 2.1k
  • Immunology 514
  • Oncology 457
Replace Liang Dong with:
Liang Dong China
Zhongzhou Yang China
Katiuscia Bianchi United Kingdom
Stéphane Garcia France
Eek‐hoon Jho South Korea
Eok‐Soo Oh South Korea
Muriel Laffargue France
Nathalie Rivard Canada
Ke Guo relative to Liang Dong China Liang Dong's profile →
Citations per field
00.5×1.5×2.0×
Liang Dong · 1×
Citations per year

Countries citing papers authored by Ke Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ke Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008397
2 2001278
3 2000245
4
PRL-3 and PRL-1 promote cell migration, invasion, and metastasis.
2003230
5 2004143
6 2010138
7 2004137
8 201887
9 200783
10 201179
11 200478
12 200677
13 201172
14 201361
15 201158
16 202155
17 200554
18 200853
19 201647
20 202245

About Ke Guo

Ke Guo is a scholar working on Molecular Biology, Immunology, Cell Biology, Physiology and Oncology, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (15 papers), Galectins and Cancer Biology (10 papers), Alzheimer's disease research and treatments (5 papers), Glycosylation and Glycoproteins Research (5 papers), MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers), Cancer Cells and Metastasis (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Cell Biology (723 citations), Cancer Research (565 citations), Molecular Biology (2.1k citations), Immunology (514 citations) and Oncology (457 citations). Ke Guo has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Qi Zeng, Wanjin Hong, Peng Li, Boon Tin Chua, Chee Peng Ng, Jie Li, Walter Hunziker, Siew Wee Chan, Chun Jye Lim and Ian Lee. Their work appears in journals such as Neurochemical Research, Journal of Cellular Physiology, Cancer Research, Cell Death and Differentiation and Scientific Reports.

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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