Yanjun Gu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
Papers in
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- Breast Cancer Treatment Studies 4
- Protease and Inhibitor Mechanisms 2
- Oncology 8
- Cancer Cells and Metastasis 3
- Co-authors
- Shiwu Zhang (11 shared papers)Baocun Sun (10 shared papers)Xiulan Zhao (7 shared papers)He Huang (5 shared papers)Kaimin Hu (3 shared papers)Xiaohong Yu (3 shared papers)Yongxian Hu (4 shared papers)Danfang Zhang (5 shared papers)
- Journals
- Blood (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Molecular and Cellular Endocrinology (1 paper)Tumor Biology (1 paper)Targeted Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Yanjun Gu
22 papers receiving 553 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 112
- Oncology 141
- Molecular Biology 216
- Cell Biology 40
- Genetics 21
Countries citing papers authored by Yanjun Gu
This map shows the geographic impact of Yanjun 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 Yanjun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Gu more than expected).
Fields of papers citing papers by Yanjun Gu
This network shows the impact of papers produced by Yanjun 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 Yanjun Gu. The network helps show where Yanjun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 145 | |
| 2 | 2009 | 79 | |
| 3 | 2008 | 64 | |
| 4 | 2018 | 62 | |
| 5 | 2019 | 41 | |
| 6 | 2010 | 31 | |
| 7 | 2007 | 27 | |
| 8 | 2019 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2013 | 11 | |
| 11 | 2007 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2015 | 8 | |
| 14 | 2014 | 6 | |
| 15 | 2010 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2009 | 3 | |
| 19 | 2009 | 2 | |
| 20 | 2010 | 1 |
About Yanjun Gu
Yanjun Gu is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 24 papers that have together received 560 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Breast Cancer Treatment Studies (4 papers), Cancer Cells and Metastasis (3 papers), Estrogen and related hormone effects (3 papers), Protease and Inhibitor Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), DNA Repair Mechanisms (2 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Cancer Research (112 citations), Oncology (141 citations), Molecular Biology (216 citations), Cell Biology (40 citations) and Genetics (21 citations). Yanjun Gu has collaborated with scholars based in China. Frequent co-authors include Shiwu Zhang, Baocun Sun, Xiulan Zhao, He Huang, Kaimin Hu, Xiaohong Yu, Yongxian Hu, Danfang Zhang, Yi Luo and Jimin Shi. Their work appears in journals such as Blood, Journal of Experimental & Clinical Cancer Research, Molecular and Cellular Endocrinology, Tumor Biology and Targeted 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.