Hailong Chen

670 total citations
22 papers, 466 citations indexed

About

Hailong Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hailong Chen has authored 22 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Hailong Chen's work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers) and Breast Cancer Treatment Studies (3 papers). Hailong Chen is often cited by papers focused on MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers) and Breast Cancer Treatment Studies (3 papers). Hailong Chen collaborates with scholars based in China, United States and Israel. Hailong Chen's co-authors include Wei Tian, Yongchuan Deng, Haifei He, Shu Zheng, Kai Jiang, Mengwen Zhang, Jianfei Fu, Chenghao Yi, Jiao Yang and Kexin Meng and has published in prestigious journals such as PLoS ONE, Cancer Letters and Medicine.

In The Last Decade

Hailong Chen

20 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailong Chen China 12 246 185 112 84 65 22 466
Milim Kim South Korea 11 125 0.5× 94 0.5× 183 1.6× 77 0.9× 56 0.9× 26 386
Ehab Husain United Kingdom 11 129 0.5× 118 0.6× 135 1.2× 51 0.6× 67 1.0× 25 398
Otávio Alberto Curioni Brazil 14 109 0.4× 214 1.2× 148 1.3× 51 0.6× 126 1.9× 54 526
Sun Wook Han South Korea 12 82 0.3× 110 0.6× 195 1.7× 62 0.7× 47 0.7× 39 393
Marco Greco Italy 11 146 0.6× 124 0.7× 175 1.6× 112 1.3× 128 2.0× 21 550
Loes Kooreman Netherlands 15 202 0.8× 74 0.4× 135 1.2× 140 1.7× 87 1.3× 52 558
Zhimin Shao China 12 187 0.8× 100 0.5× 112 1.0× 94 1.1× 63 1.0× 23 362
Kim McManus United States 9 126 0.5× 120 0.6× 107 1.0× 94 1.1× 100 1.5× 10 396
Rosa Rinaldi Italy 13 143 0.6× 116 0.6× 179 1.6× 104 1.2× 71 1.1× 36 421
Chien‐Liang Liu Taiwan 7 182 0.7× 176 1.0× 118 1.1× 82 1.0× 67 1.0× 9 429

Countries citing papers authored by Hailong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Chen. A scholar is included among the top collaborators of Hailong 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 Hailong Chen. Hailong 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.
Zhang, Nana, et al.. (2025). UBD‐mediated glycolytic reprogramming promotes M2 macrophage polarization in ovarian cancer immune evasion. Journal of Cell Communication and Signaling. 19(3). e70034–e70034. 1 indexed citations
2.
Chen, Hailong, et al.. (2025). Hypomethylation of IL6ST promotes development of endometriosis by activating JAK2/STAT3 signaling pathway. PLoS ONE. 20(1). e0317569–e0317569. 2 indexed citations
3.
Sun, Shanshan, Jiaxin Li, Wenwen Wang, et al.. (2024). Neoadjuvant chemotherapy-induced remodeling of human hormonal receptor-positive breast cancer revealed by single-cell RNA sequencing. Cancer Letters. 585. 216656–216656. 10 indexed citations
4.
Ma, Gang, et al.. (2024). Reconstruction of scaled FOWT blades for achieving aerodynamic similarity with control strategy adjustment. Ocean Engineering. 317. 120078–120078. 4 indexed citations
5.
Chen, Hailong, et al.. (2024). Observations on the Therapeutic Efficacy of Biomimetic Physiotherapy Combined with Manipulation Therapy in Managing Myofascial Pelvic Pain Syndrome in Women.. PubMed. 30(5). 162–167.
6.
Chen, Hailong, Minke He, ZhiCheng Lai, et al.. (2024). UBA2 SUMOylates NQO1 and promotes the proliferation of hepatocellular carcinoma by modulating the MAPK pathway. Cancer Science. 115(9). 2998–3012. 2 indexed citations
7.
Zhang, Mengwen, Hailong Chen, Huan Qian, & Chen Wang. (2023). Characterization of the skin keloid microenvironment. Cell Communication and Signaling. 21(1). 207–207. 35 indexed citations
8.
9.
10.
Zhou, Yunxiang, Yali Wang, Hailong Chen, et al.. (2021). Immuno-oncology: are TAM receptors in glioblastoma friends or foes?. Cell Communication and Signaling. 19(1). 11–11. 11 indexed citations
11.
Huang, Huanhuan, Jun Zhou, Hailong Chen, et al.. (2021). The immunomodulatory effects of endocrine therapy in breast cancer. Journal of Experimental & Clinical Cancer Research. 40(1). 19–19. 52 indexed citations
12.
Meng, Kexin, Hua Luo, Hailong Chen, H. Henry Guo, & Wenjie Xia. (2019). Prognostic value of numbers of metastatic lymph node in medullary thyroid carcinoma. Medicine. 98(1). e13884–e13884. 25 indexed citations
13.
Ji, Dengbo, Meng Qiao, Yunfeng Yao, et al.. (2018). Serum-based microRNA signature predicts relapse and therapeutic outcome of adjuvant chemotherapy in colorectal cancer patients. EBioMedicine. 35. 189–197. 38 indexed citations
14.
He, Haifei, Wei Tian, Hailong Chen, & Kai Jiang. (2015). MiR-944 functions as a novel oncogene and regulates the chemoresistance in breast cancer. Tumor Biology. 37(2). 1599–1607. 57 indexed citations
15.
He, Haifei, Wei Tian, Hailong Chen, & Yongchuan Deng. (2015). MicroRNA-101 sensitizes hepatocellular carcinoma cells to doxorubicin-induced apoptosis via targeting Mcl-1. Molecular Medicine Reports. 13(2). 1923–1929. 49 indexed citations
16.
Fu, Jianfei, Hailong Chen, Jiao Yang, Chenghao Yi, & Shu Zheng. (2014). Feasibility and Accuracy of Sentinel Lymph Node Biopsy in Clinically Node-Positive Breast Cancer after Neoadjuvant Chemotherapy: A Meta-Analysis. PLoS ONE. 9(9). e105316–e105316. 58 indexed citations
17.
Zhou, Jiaojiao, Mengwen Zhang, Yanqing Huang, et al.. (2014). MicroRNA-320b promotes colorectal cancer proliferation and invasion by competing with its homologous microRNA-320a. Cancer Letters. 356(2). 669–675. 34 indexed citations
18.
Tian, Wei, Dong Xu, Weidong Han, et al.. (2013). Cyclophilin D modulates cell death transition from early apoptosis to programmed necrosis induced by honokiol. International Journal of Oncology. 42(5). 1654–1663. 8 indexed citations
19.
Meng, Kexin, Wei Tian, Meiqi Zhou, Hailong Chen, & Yongchuan Deng. (2013). Impact of chemotherapy-induced amenorrhea in breast cancer patients: the evaluation of ovarian function by menstrual history and hormonal levels. World Journal of Surgical Oncology. 11(1). 101–101. 20 indexed citations
20.
Zhou, Meiqi, Haifei He, Hongke Cai, et al.. (2013). Diaphragmatic perforation with colonic herniation due to hepatic radiofrequency ablation: A case report and review of the literature. Oncology Letters. 6(6). 1719–1722. 14 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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