Chunyan Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Advanced biosensing and bioanalysis techniques
Papers in
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- Connective Tissue Growth Factor Research 1
- Cancer-related gene regulation 1
- Microbial Metabolic Engineering and Bioproduction 1
- Circular RNAs in diseases 1
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- MicroRNA in disease regulation 2
- Co-authors
- Lanlan Shao (1 shared paper)Hongyan Zhu (1 shared paper)Ye Gan (1 shared paper)Hongwei Chen (1 shared paper)Jianguo Shao (2 shared papers)Yali Cao (1 shared paper)Lin Chen (1 shared paper)Rui Wang (1 shared paper)
- Journals
- Tumor Biology (1 paper)Journal of Controlled Release (1 paper)Scientific Reports (1 paper)PubMed (1 paper)Food Science (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chunyan Gu
5 papers receiving 429 citations
Chunyan Gu's Hit Papers
Peers
Comparison fields: 5 of 58
- Cancer Research 200
- Molecular Biology 336
- Biomaterials 47
- Biomedical Engineering 97
- Immunology 39
Countries citing papers authored by Chunyan Gu
This map shows the geographic impact of Chunyan Gu'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 Chunyan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunyan Gu more than expected).
Fields of papers citing papers by Chunyan Gu
This network shows the impact of papers produced by Chunyan Gu. 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 Chunyan Gu. The network helps show where Chunyan Gu may publish in the future.
Co-authors
The 20 scholars most cited alongside Chunyan Gu, 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 | Exosome-mediated siRNA delivery to suppress postoperative breast cancer metastasis Hit paper breakdown → | 2019 | 362 |
| 2 | 2015 | 47 | |
| 3 | 2020 | 21 | |
| 4 | ~(60)Co-γ Irradiation Mutation and Screening of Heat-resistant Rhizopus oryzae Mutant Producing L-Lactic Acid | 2008 | 1 |
| 5 | Low expression of trafficking protein particle complex 4 predicts poor prognosis in hepatocellular carcinoma. | 2018 | 1 |
About Chunyan Gu
Chunyan Gu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Complementary and alternative medicine, having authored 5 papers that have together received 432 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Phytochemical and Pharmacological Studies (1 paper), Connective Tissue Growth Factor Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cancer-related gene regulation (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (200 citations), Molecular Biology (336 citations), Biomaterials (47 citations), Biomedical Engineering (97 citations) and Immunology (39 citations). Chunyan Gu has collaborated with scholars based in China and United States. Frequent co-authors include Lanlan Shao, Hongyan Zhu, Ye Gan, Hongwei Chen, Jianguo Shao, Yali Cao, Lin Chen, Rui Wang, Haitao Guan and Xiong Ma. Their work appears in journals such as Tumor Biology, Journal of Controlled Release, Scientific Reports, PubMed and Food 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.