Youji Feng

6.4k total citations
56 papers, 1.9k citations indexed

About

Youji Feng is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Youji Feng has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Genetics. Recurrent topics in Youji Feng's work include Estrogen and related hormone effects (11 papers), Endometrial and Cervical Cancer Treatments (9 papers) and Ovarian cancer diagnosis and treatment (8 papers). Youji Feng is often cited by papers focused on Estrogen and related hormone effects (11 papers), Endometrial and Cervical Cancer Treatments (9 papers) and Ovarian cancer diagnosis and treatment (8 papers). Youji Feng collaborates with scholars based in China, United States and Germany. Youji Feng's co-authors include Zhenbo Zhang, Yinhua Yu, Yaping Zhu, Qi Cao, Xin Lü, Xiaojun Chen, Hongyan Jin, Chao Gu, Qin Yan and Xianrong Zhou and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Youji Feng

55 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youji Feng China 29 1.2k 506 496 388 275 56 1.9k
Oliver Treeck Germany 25 734 0.6× 340 0.7× 543 1.1× 289 0.7× 732 2.7× 87 1.7k
Sabine Heublein Germany 22 543 0.5× 186 0.4× 277 0.6× 262 0.7× 263 1.0× 78 1.3k
Angela Reles Germany 19 610 0.5× 387 0.8× 538 1.1× 403 1.0× 318 1.2× 29 1.5k
Adam J. Krieg United States 23 1.2k 1.0× 651 1.3× 486 1.0× 84 0.2× 156 0.6× 36 2.0k
Zhenhai Yu China 24 751 0.6× 451 0.9× 274 0.6× 199 0.5× 57 0.2× 46 1.3k
Yu Zheng China 22 697 0.6× 160 0.3× 278 0.6× 347 0.9× 112 0.4× 48 1.2k
Claus Lattrich Germany 18 355 0.3× 328 0.6× 508 1.0× 155 0.4× 379 1.4× 49 1.1k
Patrícia A. Madureira Portugal 21 1.1k 1.0× 512 1.0× 293 0.6× 91 0.2× 109 0.4× 29 1.7k
Clark M. Whitehead United States 17 988 0.8× 178 0.4× 380 0.8× 139 0.4× 167 0.6× 24 1.5k
Yuji Yaginuma Japan 19 646 0.6× 208 0.4× 424 0.9× 117 0.3× 122 0.4× 51 1.2k

Countries citing papers authored by Youji Feng

Since Specialization
Citations

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

Fields of papers citing papers by Youji Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youji Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Youji Feng. A scholar is included among the top collaborators of Youji Feng 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 Youji Feng. Youji Feng 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.
Bai, Mingzhu, Suying Liu, Mei Kang, et al.. (2024). Assisted reproductive technology treatment failure and the detection of intrauterine HPV through spent embryo transfer media sample. Journal of Medical Virology. 96(3). e29468–e29468. 3 indexed citations
2.
Li, Jingjie, Yong Liu, Xiang Tao, et al.. (2024). TSLP enhances progestin response in endometrial cancer via androgen receptor signal pathway. British Journal of Cancer. 130(4). 585–596. 1 indexed citations
3.
Bai, Mingzhu, Linlin Yang, Hong Liao, et al.. (2018). Metformin sensitizes endometrial cancer cells to chemotherapy through IDH1-induced Nrf2 expression via an epigenetic mechanism. Oncogene. 37(42). 5666–5681. 65 indexed citations
4.
Lv, Qiaoying, Bingying Xie, Bingyi Yang, et al.. (2017). Increased TET1 Expression in Inflammatory Microenvironment of Hyperinsulinemia Enhances the Response of Endometrial Cancer to Estrogen by Epigenetic Modulation of GPER. Journal of Cancer. 8(5). 894–902. 24 indexed citations
5.
Ning, Chengcheng, Bingying Xie, Lin Zhang, et al.. (2016). Infiltrating Macrophages Induce ERα Expression through an IL17A-mediated Epigenetic Mechanism to Sensitize Endometrial Cancer Cells to Estrogen. Cancer Research. 76(6). 1354–1366. 61 indexed citations
7.
Xie, Bingying, Qiaoying Lv, Chengcheng Ning, et al.. (2016). TET1-GPER-PI3K/AKT pathway is involved in insulin-driven endometrial cancer cell proliferation. Biochemical and Biophysical Research Communications. 482(4). 857–862. 21 indexed citations
8.
Sun, Yunyan, et al.. (2015). Management of type II unruptured cesarean scar pregnancy: Comparison of gestational mass excision and uterine artery embolization combined with methotrexate. Taiwanese Journal of Obstetrics and Gynecology. 54(5). 489–492. 17 indexed citations
9.
Tao, Xiang, Naiqing Zhao, Hongyan Jin, et al.. (2013). FSH enhances the proliferation of ovarian cancer cells by activating transient receptor potential channel C3. Endocrine Related Cancer. 20(3). 415–429. 33 indexed citations
10.
Zhang, Jiawen, Yongbin Yang, Zhenbo Zhang, et al.. (2012). Gankyrin plays an essential role in estrogen-driven and GPR30-mediated endometrial carcinoma cell proliferation via the PTEN/PI3K/AKT signaling pathway. Cancer Letters. 339(2). 279–287. 44 indexed citations
11.
Jia, Luoqi, Hongyan Jin, Ming Yao, et al.. (2011). Re-expression of ARHI (DIRAS3) induces autophagy in breast cancer cells and enhances the inhibitory effect of paclitaxel. BMC Cancer. 11(1). 22–22. 62 indexed citations
12.
Gu, Chao, Zhenbo Zhang, Yinhua Yu, et al.. (2010). Inhibiting the PI3K/Akt pathway reversed progestin resistance in endometrial cancer. Cancer Science. 102(3). 557–564. 72 indexed citations
13.
Zhang, Zhenbo, Hong Liao, Xiaojun Chen, et al.. (2010). Luteinizing hormone upregulates survivin and inhibits apoptosis in ovarian epithelial tumors. European Journal of Obstetrics & Gynecology and Reproductive Biology. 155(1). 69–74. 14 indexed citations
14.
Zhao, Mingzhi, et al.. (2009). Effect of expression of intermediate-conductance Ca2+-activated K+ channels on proliferation, cell cycle, and apoptosis of human endometrial carcinoma.. Tumori. 29(4). 323–328. 1 indexed citations
15.
Chen, Xiaojun, Zhenbo Zhang, Youji Feng, et al.. (2009). Aberrant survivin expression in endometrial hyperplasia: another mechanism of progestin resistance. Modern Pathology. 22(5). 699–708. 36 indexed citations
16.
Jiang, Hua, et al.. (2008). [Establishment of sprouting embryoid body model mimicking early embryonic vasculogenesis in human embryo].. PubMed. 88(37). 2647–51. 1 indexed citations
17.
Chen, Xiaojun, et al.. (2007). Epidermal growth factor receptor signaling enhanced by long-term medroxyprogesterone acetate treatment in endometrial carcinoma. Gynecologic Oncology. 105(1). 45–54. 30 indexed citations
18.
Ren, Yun, Xishi Liu, Duan Ma, Youji Feng, & Nanbert Zhong. (2007). Down-regulation of the progesterone receptor by the methylation of progesterone receptor gene in endometrial cancer cells. Cancer Genetics and Cytogenetics. 175(2). 107–116. 46 indexed citations
19.
Cao, Qi, Xin Lü, & Youji Feng. (2006). Glycogen synthase kinase-3β positively regulates the proliferation of human ovarian cancer cells. Cell Research. 16(7). 671–677. 157 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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