Guiyou Liang

800 citations
45 papers · 580 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Antimicrobial Peptides and Activities

Papers in

Guiyou Liang

43 papers receiving 575 citations

Peers

Guiyou Liang
Comparison fields: 5 of 92
  • Cancer Research 119
  • Microbiology 27
  • Molecular Biology 247
  • Immunology 58
  • Pathology and Forensic Medicine 40
Replace Daniela Vanacore with:
Daniela Vanacore Italy
Damien Calay Belgium
Hairong Zhao China
Dong-Ju Shin United States
Iwona Bednarz‐Misa Poland
Zhi-yuan Chen China
Jianghong Yan China
Xiaoqing Yi China
Koremu Meja United Kingdom
Guiyou Liang relative to Daniela Vanacore Italy Daniela Vanacore's profile →
Citations per field
00.5×10×14×
Daniela Vanacore · 1×
Citations per year

Countries citing papers authored by Guiyou Liang

Since Specialization
Citations

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

Fields of papers citing papers by Guiyou Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 202446
3 201841
4 201935
5 202031
6 202123
7 201622
8 201522
9 202221
10 201320
11
CCR7 enhances the angiogenic capacity of esophageal squamous carcinoma cells in vitro via activation of the NF-κB/VEGF signaling pathway.
201719
12 202318
13 200817
14 202016
15 201616
16 202215
17 201814
18 202213
19 201213
20 202312

About Guiyou Liang

Guiyou Liang is a scholar working on Molecular Biology, Cancer Research, Surgery, Cardiology and Cardiovascular Medicine and Immunology, having authored 45 papers that have together received 580 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers), Immune Response and Inflammation (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Antimicrobial Peptides and Activities (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (119 citations), Microbiology (27 citations), Molecular Biology (247 citations), Immunology (58 citations) and Pathology and Forensic Medicine (40 citations). Guiyou Liang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Juanjuan Zhao, Lin Xu, Ya Zhou, Mengmeng Guo, Chao Chen, Limei Yu, Yong Qiang, Daxing Liu, Jian‐Hui Xiao and Gang Xu. Their work appears in journals such as Cardiovascular Drugs and Therapy, Cell & Bioscience, Experimental Biology and Medicine, Laboratory Investigation and Frontiers in Microbiology.

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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