Luyan Guo
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
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- RNA Interference and Gene Delivery 2
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Shuzhong Yao (7 shared papers)Jiaming Huang (6 shared papers)Yanchun Liang (4 shared papers)Wei Wang (3 shared papers)Chunliang Shang (5 shared papers)Tianyu Liu (5 shared papers)Yunhe Zhao (4 shared papers)Hao Tan (2 shared papers)
In The Last Decade
Luyan Guo
17 papers receiving 434 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 185
- Molecular Medicine 47
- Virology 37
- Obstetrics and Gynecology 38
- Neurology 35
Countries citing papers authored by Luyan Guo
This map shows the geographic impact of Luyan 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 Luyan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyan Guo more than expected).
Fields of papers citing papers by Luyan Guo
This network shows the impact of papers produced by Luyan 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 Luyan Guo. The network helps show where Luyan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyan Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2013 | 98 | |
| 3 | 2014 | 74 | |
| 4 | 2016 | 32 | |
| 5 | 2015 | 31 | |
| 6 | The expression of S100P increases and promotes cellular proliferation by increasing nuclear translocation of β-catenin in endometrial cancer. | 2014 | 21 |
| 7 | 2018 | 19 | |
| 8 | 2020 | 18 | |
| 9 | Overexpression of long non-coding RNA RP11-396F22.1 correlates poor prognosis of patients with early-stage cervical cancer. | 2018 | 13 |
| 10 | 2012 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 5 | |
| 13 | 2013 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2013 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 |
About Luyan Guo
Luyan Guo is a scholar working on Molecular Biology, Cancer Research, Virology, Cellular and Molecular Neuroscience and Molecular Medicine, having authored 17 papers that have together received 445 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Curcumin's Biomedical Applications (2 papers), Advanced Clustering Algorithms Research (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Cancer Research (185 citations), Molecular Medicine (47 citations), Virology (37 citations), Obstetrics and Gynecology (38 citations) and Neurology (35 citations). Luyan Guo has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Shuzhong Yao, Jiaming Huang, Yanchun Liang, Wei Wang, Chunliang Shang, Tianyu Liu, Yunhe Zhao, Hao Tan, Rui Pan and Zheng Gong. Their work appears in journals such as PLoS ONE, Fertility and Sterility, Journal of Experimental & Clinical Cancer Research, The Journal of Immunology and International Journal of Gynecological Cancer.
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.