Qifeng Yang

19.7k total citations · 4 hit papers
359 papers, 13.0k citations indexed

About

Qifeng Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Qifeng Yang has authored 359 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Molecular Biology, 147 papers in Cancer Research and 126 papers in Oncology. Recurrent topics in Qifeng Yang's work include Breast Cancer Treatment Studies (57 papers), Cancer-related molecular mechanisms research (50 papers) and Breast Lesions and Carcinomas (42 papers). Qifeng Yang is often cited by papers focused on Breast Cancer Treatment Studies (57 papers), Cancer-related molecular mechanisms research (50 papers) and Breast Lesions and Carcinomas (42 papers). Qifeng Yang collaborates with scholars based in China, United States and Japan. Qifeng Yang's co-authors include Ning Zhang, Bruce G. Haffty, Hanwen Zhang, Yiran Liang, Xiaojin Song, Meena S. Moran, Yaming Li, Bing Chen, Xiaolong Wang and Xiaoyan Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Qifeng Yang

343 papers receiving 12.8k citations

Hit Papers

Locoregional Relapse and Distant Metastasis in Conservati... 2006 2026 2012 2019 2006 2019 2011 2019 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qifeng Yang China 55 7.4k 5.9k 4.4k 2.2k 1.5k 359 13.0k
Derek C. Radisky United States 61 7.1k 1.0× 3.8k 0.6× 5.9k 1.3× 1.1k 0.5× 1.7k 1.1× 196 14.3k
Maria Grazia Daidone Italy 59 8.0k 1.1× 5.6k 0.9× 6.2k 1.4× 1.3k 0.6× 1.5k 1.1× 279 14.6k
Celina G. Kleer United States 65 9.2k 1.2× 5.8k 1.0× 7.9k 1.8× 2.0k 0.9× 1.9k 1.3× 174 17.2k
Jun Yokota Japan 64 11.4k 1.5× 5.7k 1.0× 3.6k 0.8× 1.7k 0.8× 2.0k 1.4× 216 15.2k
Melinda E. Sanders United States 45 6.0k 0.8× 4.8k 0.8× 6.5k 1.5× 1.2k 0.6× 2.5k 1.7× 119 13.3k
Timothy J. Yeatman United States 56 5.9k 0.8× 2.9k 0.5× 5.1k 1.1× 2.1k 1.0× 1.6k 1.1× 169 11.8k
Louis Vermeulen Netherlands 44 5.5k 0.7× 3.3k 0.6× 7.1k 1.6× 1.9k 0.9× 1.2k 0.8× 130 11.5k
Øystein Fluge Norway 25 6.5k 0.9× 6.1k 1.0× 6.4k 1.4× 1.8k 0.8× 1.9k 1.3× 91 13.9k
Antonio Russo Italy 55 4.7k 0.6× 3.2k 0.5× 5.8k 1.3× 1.7k 0.8× 2.3k 1.6× 371 11.9k
Gary E. Gallick United States 67 7.7k 1.0× 2.9k 0.5× 6.0k 1.3× 1.3k 0.6× 2.0k 1.4× 202 13.7k

Countries citing papers authored by Qifeng Yang

Since Specialization
Citations

This map shows the geographic impact of Qifeng Yang'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 Qifeng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qifeng Yang more than expected).

Fields of papers citing papers by Qifeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qifeng Yang. 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 Qifeng Yang. The network helps show where Qifeng Yang may publish in the future.

Co-authorship network of co-authors of Qifeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qifeng Yang. A scholar is included among the top collaborators of Qifeng Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qifeng Yang. Qifeng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Min, et al.. (2025). A bibliometric analysis of surgical treatment for rectal prolapse. Medicine. 104(32). e43763–e43763.
3.
Li, Chen, Xiaolong Wang, Tong Chen, et al.. (2024). Huaier-induced suppression of cancer-associated fibroblasts confers immunotherapeutic sensitivity in triple-negative breast cancer. Phytomedicine. 135. 156051–156051. 7 indexed citations
4.
Chen, Xi, Yaming Li, Yiran Liang, et al.. (2024). COL5A1 promotes triple-negative breast cancer progression by activating tumor cell-macrophage crosstalk. Oncogene. 43(23). 1742–1756. 10 indexed citations
5.
Zhang, Jin, Chenzhong Xu, Xiaolong Tang, et al.. (2024). Endothelium-specific SIRT7 targeting ameliorates pulmonary hypertension through Krüpple-like factor 4 deacetylation. Cardiovascular Research. 120(4). 403–416. 11 indexed citations
7.
Zhang, Hanwen, Ning Zhang, Ying Liu, et al.. (2019). Epigenetic Regulation of NAMPT by NAMPT-AS Drives Metastatic Progression in Triple-Negative Breast Cancer. Cancer Research. 79(13). 3347–3359. 107 indexed citations
8.
Sang, Yuting, Bing Chen, Xiaojin Song, et al.. (2019). circRNA_0025202 Regulates Tamoxifen Sensitivity and Tumor Progression via Regulating the miR-182-5p/FOXO3a Axis in Breast Cancer. Molecular Therapy. 27(9). 1638–1652. 340 indexed citations breakdown →
9.
Kong, Xiaoli, Yi Duan, Yuting Sang, et al.. (2018). LncRNA–CDC6 promotes breast cancer progression and function as ceRNA to target CDC6 by sponging microRNA‐215. Journal of Cellular Physiology. 234(6). 9105–9117. 233 indexed citations
10.
Zhang, Qingyu, Fanxiao Liu, Bomin Wang, et al.. (2016). HER-2 expression in biopsy and surgical specimen on prognosis of osteosarcoma. Medicine. 95(23). e3661–e3661. 15 indexed citations
11.
Qian, Yanyan, Jupeng Yuan, Huili Hu, et al.. (2015). The CUL4B/AKT/β-Catenin Axis Restricts the Accumulation of Myeloid-Derived Suppressor Cells to Prohibit the Establishment of a Tumor-Permissive Microenvironment. Cancer Research. 75(23). 5070–5083. 47 indexed citations
12.
Liang, Yajun, Jing Hu, Jiatao Li, et al.. (2015). Epigenetic Activation of TWIST1 by MTDH Promotes Cancer Stem–like Cell Traits in Breast Cancer. Cancer Research. 75(17). 3672–3680. 77 indexed citations
13.
Liu, Yan, Xiangnan Kong, Xiaoyan Li, Baojiang Li, & Qifeng Yang. (2015). Knockdown of metadherin inhibits angiogenesis in breast cancer. International Journal of Oncology. 46(6). 2459–2466. 15 indexed citations
14.
Wan, Liling, Guohong Hu, Yong Wei, et al.. (2014). Genetic Ablation of Metadherin Inhibits Autochthonous Prostate Cancer Progression and Metastasis. Cancer Research. 74(18). 5336–5347. 35 indexed citations
15.
Li, Xiaoyan, Xiaoli Kong, Xiangnan Kong, et al.. (2013). 53BP1 Sensitizes Breast Cancer Cells to 5-Fluorouracil. PLoS ONE. 8(9). e74928–e74928. 14 indexed citations
16.
Wáng, Qīng, Jiang Zhu, Yong Zhang, et al.. (2013). Down-regulation of programmed cell death 4 leads to epithelial to mesenchymal transition and promotes metastasis in mice. European Journal of Cancer. 49(7). 1761–1770. 25 indexed citations
17.
Yang, Qifeng, et al.. (2013). Vascular endothelial growth factor +936C/T polymorphism and cancer risk in Asians: a meta-analysis. Genetics and Molecular Research. 12(2). 1924–1933. 4 indexed citations
18.
Broustas, Constantinos G., Jeffrey S. Ross, Qifeng Yang, et al.. (2010). The Proapoptotic Molecule BLID Interacts with Bcl-XL and Its Downregulation in Breast Cancer Correlates with Poor Disease-Free and Overall Survival. Clinical Cancer Research. 16(11). 2939–2948. 15 indexed citations
19.
Ma, Rong, et al.. (2009). Lymphangiogenic Characteristics of Triple Negativity in Node-Negative Breast Cancer. International Journal of Surgical Pathology. 17(6). 426–431. 17 indexed citations
20.
Wang, Baiyang, Marc A. Berger, Gregg Masters, et al.. (2005). Radiotherapy of Human Xenograft NSCLC Tumors in Nude Mice with a 90 Y-Labeled Anti-Tissue Factor Antibody. Cancer Biotherapy and Radiopharmaceuticals. 20(3). 300–309. 7 indexed citations

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.

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