Yunfeng He

1.9k total citations
32 papers, 949 citations indexed

About

Yunfeng He is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Yunfeng He has authored 32 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Oncology. Recurrent topics in Yunfeng He's work include Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and Adrenal and Paraganglionic Tumors (4 papers). Yunfeng He is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and Adrenal and Paraganglionic Tumors (4 papers). Yunfeng He collaborates with scholars based in China, United States and Australia. Yunfeng He's co-authors include Mengxin Lv, Changzhu Duan, Junxia Chen, Mengge Huang, Luyu Zhang, Zhenyu Zhong, Xiaohou Wu, Chunli Luo, Yao Zhang and Wei Tang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Urology and Molecules.

In The Last Decade

Yunfeng He

32 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunfeng He China 15 700 462 99 88 88 32 949
Zhonghua Jiang China 19 551 0.8× 320 0.7× 86 0.9× 67 0.8× 77 0.9× 61 868
Rongying Ou China 20 711 1.0× 477 1.0× 126 1.3× 63 0.7× 133 1.5× 53 1.1k
Xiaomei Zhang China 20 660 0.9× 360 0.8× 190 1.9× 91 1.0× 92 1.0× 38 1.0k
Ruting Xie China 18 499 0.7× 263 0.6× 197 2.0× 51 0.6× 79 0.9× 38 778
Haiping Zhang China 15 471 0.7× 320 0.7× 80 0.8× 53 0.6× 49 0.6× 36 640
Shengjie Wang China 16 812 1.2× 592 1.3× 135 1.4× 40 0.5× 79 0.9× 39 1.0k
Yasi Pan Hong Kong 11 665 0.9× 310 0.7× 205 2.1× 104 1.2× 89 1.0× 18 993
Shanwen Chen China 20 585 0.8× 347 0.8× 205 2.1× 106 1.2× 194 2.2× 36 993
Eva Pinatel Italy 16 718 1.0× 469 1.0× 62 0.6× 115 1.3× 51 0.6× 25 1.0k

Countries citing papers authored by Yunfeng He

Since Specialization
Citations

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

Fields of papers citing papers by Yunfeng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunfeng He

This figure shows the co-authorship network connecting the top 25 collaborators of Yunfeng He. A scholar is included among the top collaborators of Yunfeng He 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 Yunfeng He. Yunfeng He 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.
Yang, Shumin, Zhipeng Du, Qianna Zhen, et al.. (2023). Corticotropin Stimulation in Adrenal Venous Sampling for Patients With Primary Aldosteronism. JAMA Network Open. 6(10). e2338209–e2338209. 7 indexed citations
2.
Shao, Lan, et al.. (2021). Identification and biological characteristics of clear cell renal cell carcinoma associated urine-derived stem cells.. American Journal of Translational Research. 13(4). 2143–2162. 7 indexed citations
3.
Quan, Zhen, Ting Li, Yang Xia, et al.. (2020). PLCɛ maintains the functionality of AR signaling in prostate cancer via an autophagy-dependent mechanism. Cell Death and Disease. 11(8). 716–716. 8 indexed citations
4.
Yang, Qin, Zhipeng Du, Shumin Yang, et al.. (2020). Primary aldosteronism concurrent with subclinical Cushing’s syndrome: a case report and review of the literature. Journal of Medical Case Reports. 14(1). 32–32. 12 indexed citations
5.
Yang, Yi, Ming Xiao, Ying Song, et al.. (2019). H-score of 11β-hydroxylase and aldosterone synthase in the histopathological diagnosis of adrenocortical tumors. Endocrine. 65(3). 683–691. 24 indexed citations
6.
Li, Xin, Wanfeng Zhang, Jing Song, et al.. (2019). SLCO4C1 promoter methylation is a potential biomarker for prognosis associated with biochemical recurrence-free survival after radical prostatectomy. Clinical Epigenetics. 11(1). 99–99. 9 indexed citations
7.
Cheng, Hong‐Lin, Xin Li, Chuanlin Wang, et al.. (2018). Inhibition of tankyrase by a novel small molecule significantly attenuates prostate cancer cell proliferation. Cancer Letters. 443. 80–90. 34 indexed citations
8.
Quan, Zhen, Yunfeng He, Chunli Luo, et al.. (2017). Interleukin 6 induces cell proliferation of clear cell renal cell carcinoma by suppressing hepaCAM via the STAT3-dependent up-regulation of DNMT1 or DNMT3b. Cellular Signalling. 32. 48–58. 30 indexed citations
9.
Zhong, Zhenyu, Mengge Huang, Mengxin Lv, et al.. (2017). Circular RNA MYLK as a competing endogenous RNA promotes bladder cancer progression through modulating VEGFA/VEGFR2 signaling pathway. Cancer Letters. 403. 305–317. 379 indexed citations
10.
Li, Jianjun, Delin Wang, Yunfeng He, et al.. (2016). Activation of UPR Signaling Pathway is Associated With the Malignant Progression and Poor Prognosis in Prostate Cancer. The Prostate. 77(3). 274–281. 28 indexed citations
12.
Yang, Xue, Xuedong Song, Shi‐You Chen, et al.. (2015). Exosomal Hsp70 mediates immunosuppressive activity of the myeloid-derived suppressor cells via phosphorylation of Stat3. Medical Oncology. 32(2). 453–453. 86 indexed citations
13.
Huang, Liangliang, Delin Wang, He Jiang, et al.. (2015). Overexpressed Rce1 is positively correlated with tumor progression and predicts poor prognosis in prostate cancer. Human Pathology. 47(1). 109–114. 10 indexed citations
14.
Zhang, Wenwen, Hongyu Zhang, Ning Wang, et al.. (2013). Modulation of β-Catenin Signaling by the Inhibitors of MAP Kinase, Tyrosine Kinase, and PI3-Kinase Pathways. International Journal of Medical Sciences. 10(13). 1888–1898. 17 indexed citations
15.
Chen, Xian, Gaurav Luther, Wenwen Zhang, et al.. (2013). The E-F Hand Calcium-Binding Protein S100A4 Regulates the Proliferation, Survival and Differentiation Potential of Human Osteosarcoma Cells. Cellular Physiology and Biochemistry. 32(4). 1083–1096. 26 indexed citations
16.
Shui, Wei, Wenwen Zhang, Liangjun Yin, et al.. (2013). Characterization of scaffold carriers for BMP9-transduced osteoblastic progenitor cells in bone regeneration. Journal of Biomedical Materials Research Part A. 102(10). n/a–n/a. 13 indexed citations
17.
He, Yunfeng, et al.. (2012). Upregulation of cell adhesion through delta Np63 silencing in human 5637 bladder cancer cells. Asian Journal of Andrology. 14(5). 788–792. 3 indexed citations
18.
Cheng, Hong‐Lin, Chunli Luo, Xiaohou Wu, et al.. (2011). shRNA Targeting PLCε Inhibits Bladder Cancer Cell Growth In Vitro and In Vivo. Urology. 78(2). 474.e7–474.e11. 32 indexed citations
19.
He, Yunfeng, Xiaohou Wu, Chunli Luo, Lei Wang, & Jie Lin. (2010). Functional significance of the hepaCAM gene in bladder cancer. BMC Cancer. 10(1). 83–83. 18 indexed citations
20.
Tang, Wei, et al.. (2009). A novel Bifidobacterium infantis-mediated TK/GCV suicide gene therapy system exhibits antitumor activity in a rat model of bladder cancer. Journal of Experimental & Clinical Cancer Research. 28(1). 155–155. 53 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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