Yanzi Gu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- Circular RNAs in diseases 3
- Extracellular vesicles in disease 3
- RNA modifications and cancer 2
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 2
- Co-authors
- Ping Wei (6 shared papers)Dawei Li (5 shared papers)Senlin Zhao (5 shared papers)Yushuai Mi (4 shared papers)Xinxiang Li (4 shared papers)Sanjun Cai (3 shared papers)Binbin Zheng-Lin (3 shared papers)Zhengxiang Zhang (3 shared papers)
- Journals
- Journal of Hematology & Oncology (2 papers)Carcinogenesis (1 paper)Translational Lung Cancer Research (1 paper)Diagnostic Pathology (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yanzi Gu
12 papers receiving 921 citations
Yanzi Gu's Hit Papers
Peers
Comparison fields: 5 of 55
- Cancer Research 414
- Immunology 230
- Molecular Biology 604
- Oncology 142
- Hepatology 24
Countries citing papers authored by Yanzi Gu
This map shows the geographic impact of Yanzi 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 Yanzi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanzi Gu more than expected).
Fields of papers citing papers by Yanzi Gu
This network shows the impact of papers produced by Yanzi 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 Yanzi Gu. The network helps show where Yanzi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanzi 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 | Tumor-derived exosomal miR-934 induces macrophage M2 polarization to promote liver metastasis of colorectal cancer Hit paper breakdown → | 2020 | 593 |
| 2 | Highly‐metastatic colorectal cancer cell released miR‐181a‐5p‐rich extracellular vesicles promote liver metastasis by activating hepatic stellate cells and remodelling the tumour microenvironment Hit paper breakdown → | 2022 | 159 |
| 3 | 2021 | 73 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 5 | |
| 10 | 2019 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Yanzi Gu
Yanzi Gu is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Infectious Diseases, having authored 13 papers that have together received 925 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Extracellular vesicles in disease (3 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Colorectal Cancer Surgical Treatments (1 paper), T-cell and B-cell Immunology (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Cancer Research (414 citations), Immunology (230 citations), Molecular Biology (604 citations), Oncology (142 citations) and Hepatology (24 citations). Yanzi Gu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ping Wei, Dawei Li, Senlin Zhao, Yushuai Mi, Xinxiang Li, Sanjun Cai, Binbin Zheng-Lin, Zhengxiang Zhang, Bingjie Guan and Ye Xu. Their work appears in journals such as Journal of Hematology & Oncology, Carcinogenesis, Translational Lung Cancer Research, Diagnostic Pathology and Gynecologic Oncology.
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.