He Chen

2.8k total citations · 1 hit paper
33 papers, 2.2k citations indexed

About

He Chen is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, He Chen has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in He Chen's work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (10 papers) and Circular RNAs in diseases (10 papers). He Chen is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (10 papers) and Circular RNAs in diseases (10 papers). He Chen collaborates with scholars based in China, United States and Saint Kitts and Nevis. He Chen's co-authors include Chunxiang Zhang, Jian Yang, Yunhui Cheng, Junming Yue, Ruirui Ji, Xiaojun Liu, Xiaojun Liu, Ruiqi Wang, Huilian Hou and Xu Li and has published in prestigious journals such as Circulation Research, Scientific Reports and The FASEB Journal.

In The Last Decade

He Chen

33 papers receiving 2.1k citations

Hit Papers

MicroRNA Expression Signature and Antisense-Mediated Depl... 2007 2026 2013 2019 2007 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
He Chen China 19 1.7k 1.6k 146 145 142 33 2.2k
Ying Fang China 24 1.1k 0.7× 739 0.5× 147 1.0× 91 0.6× 313 2.2× 97 1.9k
Coen van Solingen United States 21 1.3k 0.8× 1.0k 0.7× 104 0.7× 207 1.4× 552 3.9× 40 2.1k
Katharina Michalik Germany 12 1.0k 0.6× 848 0.5× 128 0.9× 107 0.7× 115 0.8× 17 1.5k
Peng Yao United States 23 1.4k 0.9× 484 0.3× 92 0.6× 85 0.6× 274 1.9× 56 1.9k
Ji‐Liang Li China 17 914 0.5× 609 0.4× 114 0.8× 128 0.9× 173 1.2× 41 1.6k
Dongsheng Yan China 21 953 0.6× 654 0.4× 100 0.7× 117 0.8× 154 1.1× 62 1.5k
Ying Lin China 14 1.2k 0.7× 545 0.3× 103 0.7× 71 0.5× 391 2.8× 52 1.6k
Amy Lam Hong Kong 6 1.2k 0.7× 845 0.5× 185 1.3× 120 0.8× 152 1.1× 7 1.8k
Hoang C.B. Nguyen United States 15 1.3k 0.8× 606 0.4× 96 0.7× 120 0.8× 267 1.9× 29 1.9k

Countries citing papers authored by He Chen

Since Specialization
Citations

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

Fields of papers citing papers by He Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Chen

This figure shows the co-authorship network connecting the top 25 collaborators of He Chen. A scholar is included among the top collaborators of He Chen 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 He Chen. He Chen 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.
Huang, Peng, et al.. (2023). lncRNA799/TBL1XR1/ZEB1 Axis Forms a Feedback Loop to Promote the Epithelial-Mesenchymal Transition of Cervical Cancer Cells. Critical Reviews in Eukaryotic Gene Expression. 34(2). 33–43. 2 indexed citations
2.
Wang, Bo, Lu Yang, Miao Zhang, et al.. (2022). FMNL2 suppresses cell migration and invasion of breast cancer: a reduction of cytoplasmic p27 via RhoA/LIMK/Cofilin pathway. Cell Death Discovery. 8(1). 155–155. 5 indexed citations
3.
Han, Liping, Xuemei Jia, Dongping Li, et al.. (2022). Identification of prognostic miRNA-mRNA regulatory network in the progression of HCV-associated cirrhosis to hepatocellular carcinoma. Translational Cancer Research. 11(10). 3657–3673. 4 indexed citations
5.
Liu, Jie, Juan Li, He Chen, et al.. (2020). Metformin suppresses proliferation and invasion of drug‐resistant breast cancer cells by activation of the Hippo pathway. Journal of Cellular and Molecular Medicine. 24(10). 5786–5796. 40 indexed citations
6.
Tu, Jiajie, et al.. (2020). Long non-coding RNAs in ovarian granulosa cells. Journal of Ovarian Research. 13(1). 63–63. 44 indexed citations
7.
Ye, Lu, et al.. (2020). ELFN1-AS1 accelerates cell proliferation, invasion and migration via regulating miR-497-3p/CLDN4 axis in ovarian cancer. Bioengineered. 11(1). 872–882. 36 indexed citations
8.
Han, Xi, Dan Liu, Yuanyuan Zhou, et al.. (2020). The negative feedback between miR‐143 and DNMT3A regulates cisplatin resistance in ovarian cancer. Cell Biology International. 45(1). 227–237. 12 indexed citations
9.
Li, Juan, Jie Liu, Pingping Li, et al.. (2019). Downregulation of WW domain-containing oxidoreductase leads to tamoxifen-resistance by the inactivation of Hippo signaling. Experimental Biology and Medicine. 244(12). 972–982. 2 indexed citations
10.
Ma, Mingxing, Li Li, He Chen, & Yong Feng. (2019). Oxytocin Inhibition of Metastatic Colorectal Cancer by Suppressing the Expression of Fibroblast Activation Protein-α. Frontiers in Neuroscience. 13. 1317–1317. 10 indexed citations
11.
Liu, Jie, Juan Li, Pingping Li, et al.. (2018). DLG5 suppresses breast cancer stem cell‐like characteristics to restore tamoxifen sensitivity by inhibiting TAZ expression. Journal of Cellular and Molecular Medicine. 23(1). 512–521. 30 indexed citations
12.
Li, Lingling, Haibo Zhang, Baosen Zhou, et al.. (2018). Association between H19 SNP rs217727 and lung cancer risk in a Chinese population: a case control study. BMC Medical Genetics. 19(1). 136–136. 32 indexed citations
13.
Zhang, Hongyue, Ying Liu, Lixin Yan, et al.. (2018). Increased levels of the long noncoding RNA, HOXA-AS3, promote proliferation of A549 cells. Cell Death and Disease. 9(6). 707–707. 34 indexed citations
14.
Xue, Mei, Wei Chen, Xiang An, et al.. (2017). Hypoxic exosomes facilitate bladder tumor growth and development through transferring long non-coding RNA-UCA1. Molecular Cancer. 16(1). 143–143. 283 indexed citations
15.
Liu, Jie, Juan Li, Pingping Li, et al.. (2017). Loss of DLG5 promotes breast cancer malignancy by inhibiting the Hippo signaling pathway. Scientific Reports. 7(1). 42125–42125. 51 indexed citations
16.
Zhang, Zhifeng, He Chen, Zhijun Duan, et al.. (2016). Prognostic significance of synergistic hexokinase-2 and beta2-adrenergic receptor expression in human hepatocelluar carcinoma after curative resection. BMC Gastroenterology. 16(1). 57–57. 41 indexed citations
17.
Cai, Yihong, He Chen, Yuanyuan Tang, et al.. (2014). Toxoplasma gondii inhibits apoptosis via a novel STAT3-miR-17–92-Bim pathway in macrophages. Cellular Signalling. 26(6). 1204–1212. 54 indexed citations
18.
Liang, Desen, Ying Qin, Wenran Zhao, et al.. (2011). S-allylmercaptocysteine effectively inhibits the proliferation of colorectal cancer cells under in vitro and in vivo conditions. Cancer Letters. 310(1). 69–76. 40 indexed citations
19.
Cheng, Yunhui, Ruirui Ji, Junming Yue, et al.. (2007). MicroRNAs Are Aberrantly Expressed in Hypertrophic Heart. American Journal Of Pathology. 170(6). 1831–1840. 416 indexed citations
20.
Chen, He. (2006). Analysis of miRNAs precursors in arabidopsis genome. Journal of Chongqing University of Posts and Telecommunications. 1 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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