Gui-Feng Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
Papers in
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
-
- Stress Responses and Cortisol 2
- Co-authors
- Yanqing Ding (4 shared papers)Xiaoli Ren (3 shared papers)Liang Li (2 shared papers)Lin Yuan (1 shared paper)Wenting Liao (1 shared paper)Xiao-Liang Lan (1 shared paper)Zhicheng Zeng (1 shared paper)Fei Geng (8 shared papers)
- Journals
- Oncotarget (2 papers)Experimental and Molecular Pathology (2 papers)OncoTargets and Therapy (1 paper)Aging (1 paper)Neuropharmacology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Gui-Feng Lu
12 papers receiving 556 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 386
- Molecular Biology 484
- Oncology 30
- Behavioral Neuroscience 3
- Cell Biology 13
Countries citing papers authored by Gui-Feng Lu
This map shows the geographic impact of Gui-Feng Lu'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 Gui-Feng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui-Feng Lu more than expected).
Fields of papers citing papers by Gui-Feng Lu
This network shows the impact of papers produced by Gui-Feng Lu. 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 Gui-Feng Lu. The network helps show where Gui-Feng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui-Feng Lu, 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 | 2016 | 372 | |
| 2 | 2015 | 53 | |
| 3 | 2015 | 40 | |
| 4 | 2018 | 23 | |
| 5 | 2015 | 18 | |
| 6 | MicroRNA-26b-3p/ANTXR1 signaling modulates proliferation, migration, and apoptosis of glioma. | 2019 | 14 |
| 7 | 2017 | 12 | |
| 8 | 2020 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2016 | 7 | |
| 11 | 2018 | 4 | |
| 12 | 2024 | 2 |
About Gui-Feng Lu
Gui-Feng Lu is a scholar working on Cancer Research, Behavioral Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 12 papers that have together received 561 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (6 papers), Stress Responses and Cortisol (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (1 paper), Cancer Cells and Metastasis (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cancer Research (386 citations), Molecular Biology (484 citations), Oncology (30 citations), Behavioral Neuroscience (3 citations) and Cell Biology (13 citations). Gui-Feng Lu has collaborated with scholars based in China and United States. Frequent co-authors include Yanqing Ding, Xiaoli Ren, Liang Li, Lin Yuan, Wenting Liao, Xiao-Liang Lan, Zhicheng Zeng, Fei Geng, Wenting Liao and Guoyang He. Their work appears in journals such as Oncotarget, Experimental and Molecular Pathology, OncoTargets and Therapy, Aging and Neuropharmacology.
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.