Liangyuan Chen

528 total citations
34 papers, 374 citations indexed

About

Liangyuan Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Liangyuan Chen has authored 34 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Liangyuan Chen's work include RNA modifications and cancer (6 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (5 papers). Liangyuan Chen is often cited by papers focused on RNA modifications and cancer (6 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (5 papers). Liangyuan Chen collaborates with scholars based in China. Liangyuan Chen's co-authors include Falin Chen, Chunli Huang, Falin Chen, Lili Jiang, Zhaolei Cui, Jianzu Ding, Hang Li, Peixiang Lu, Cheng Huang and Di Lou and has published in prestigious journals such as Scientific Reports, Physical Review A and Optics Express.

In The Last Decade

Liangyuan Chen

31 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangyuan Chen China 12 252 188 40 39 36 34 374
Xingyuan Jiao China 13 310 1.2× 171 0.9× 48 1.2× 40 1.0× 64 1.8× 28 434
Karolien Vanhove Belgium 10 248 1.0× 198 1.1× 62 1.6× 87 2.2× 16 0.4× 17 414
Tyrell N. Cartwright United Kingdom 6 157 0.6× 74 0.4× 45 1.1× 31 0.8× 32 0.9× 10 316
Alpesh Thakker United Kingdom 9 184 0.7× 50 0.3× 19 0.5× 23 0.6× 97 2.7× 16 359
Saviana Nedeianu Romania 6 204 0.8× 155 0.8× 61 1.5× 96 2.5× 75 2.1× 9 422
Guang Shi China 11 146 0.6× 71 0.4× 35 0.9× 24 0.6× 13 0.4× 26 298
Robert E. Van Sciver United States 13 239 0.9× 65 0.3× 50 1.3× 47 1.2× 29 0.8× 19 389
Yukun Zu China 12 311 1.2× 262 1.4× 51 1.3× 51 1.3× 55 1.5× 21 460
Jianqing Lin Singapore 6 175 0.7× 150 0.8× 37 0.9× 65 1.7× 95 2.6× 13 333

Countries citing papers authored by Liangyuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liangyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangyuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liangyuan Chen. A scholar is included among the top collaborators of Liangyuan 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 Liangyuan Chen. Liangyuan 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.
Chen, Jinhua, et al.. (2024). FANCA promotes lung adenocarcinoma progression and is a potential target for epitope vaccine immunotherapy. Journal of Translational Medicine. 22(1). 911–911. 1 indexed citations
2.
Shen, Jing, et al.. (2024). Serum AXL is a potential molecular marker for predicting COVID-19 progression. Frontiers in Immunology. 15. 1394429–1394429. 2 indexed citations
3.
Chen, Jiahao, et al.. (2024). Cancer testis antigen MAGEA3 in serum and serum-derived exosomes serves as a promising biomarker in lung adenocarcinoma. Scientific Reports. 14(1). 7573–7573. 3 indexed citations
4.
Chen, Jiahao, Jiahao Chen, Ling Li, et al.. (2023). The immune inflammation factors associated with disease severity and poor prognosis in patients with COVID-19: A retrospective cohort study. Heliyon. 10(1). e23583–e23583. 5 indexed citations
5.
Chen, Liangyuan, Luocheng Zhang, Yutong Chen, et al.. (2023). The Automatic Tongue Image Analysis Algorithms in Traditional Chinese Medicine Diagnosis and Treatment. 86–90.
6.
Chen, Liangyuan, et al.. (2022). Has_Circ_0002490 Circular RNA: A Potential Novel Biomarker for Lung Cancer. Genetic Testing and Molecular Biomarkers. 26(1). 1–7. 4 indexed citations
7.
Chen, Falin, et al.. (2022). High expression of DARS2 indicates poor prognosis in lung adenocarcinoma. Journal of Clinical Laboratory Analysis. 36(10). e24691–e24691. 8 indexed citations
8.
Xu, Qifeng, et al.. (2022). Plasma Exosomal CXCL7 is a Potential Biomarker for Lung Adenocarcinoma. Clinical Laboratory. 68(10/2022). 3 indexed citations
9.
Wang, Di, Chen Jiang, Rong Chen, et al.. (2022). The impact of diabetes on postoperative outcomes following spine surgery: A meta-analysis of 40 cohort studies with 2.9 million participants. International Journal of Surgery. 104. 106789–106789. 33 indexed citations
10.
Huang, Chen, et al.. (2022). Cancer-testis antigen KK-LC-1 is a potential biomarker associated with immune cell infiltration in lung adenocarcinoma. BMC Cancer. 22(1). 834–834. 8 indexed citations
11.
Huang, Chen, et al.. (2022). Cancer/testis antigen HEMGN correlated with immune infiltration serves as a prognostic biomarker in lung adenocarcinoma. Molecular Immunology. 153. 226–237. 1 indexed citations
12.
Huang, Chen, et al.. (2022). Serum and Serum Exosomal CircRNAs hsa_circ_0001492, hsa_circ_0001439, and hsa_circ_0000896 as Diagnostic Biomarkers for Lung Adenocarcinoma. Frontiers in Oncology. 12. 912246–912246. 28 indexed citations
13.
Chen, Liangyuan, et al.. (2022). Overexpression of SFXN1 indicates poor prognosis and promotes tumor progression in lung adenocarcinoma. Pathology - Research and Practice. 237. 154031–154031. 11 indexed citations
14.
Chen, Liqing, et al.. (2021). Identification of a RNA-Seq Based Prognostic Signature with Seven Immune-Related lncRNAs for Lung Adenocarcinoma. Clinical Laboratory. 67(03/2021). 14 indexed citations
15.
Chen, Liangyuan, et al.. (2020). Cancer/testis antigen LDHC promotes proliferation and metastasis by activating the PI3K/Akt/GSK-3β-signaling pathway and the in lung adenocarcinoma. Experimental Cell Research. 398(2). 112414–112414. 31 indexed citations
16.
Chen, Liangyuan, et al.. (2020). Serum exosomal miR‐7977 as a novel biomarker for lung adenocarcinoma. Journal of Cellular Biochemistry. 121(5-6). 3382–3391. 36 indexed citations
17.
Li, Hang, Shaohong Lu, Yu Chen, et al.. (2019). AKT2 phosphorylation of hexokinase 2 at T473 promotes tumorigenesis and metastasis in colon cancer cells via NF-κB, HIF1α, MMP2, and MMP9 upregulation. Cellular Signalling. 58. 99–110. 36 indexed citations
18.
Yang, Wenjing, et al.. (2016). Pathological Effects of the FMR1 CGG-Repeat Polymorphism (5-55 Repeat Numbers): Systematic Review and Meta-Analysis. The Tohoku Journal of Experimental Medicine. 239(1). 57–66. 5 indexed citations
19.
Cui, Zhaolei, et al.. (2015). Quick histochemical staining method for measuring lactate dehydrogenase C4 activity in human spermatozoa. Acta Histochemica. 117(3). 235–242. 5 indexed citations
20.
Chen, Liangyuan, Yueming Zhou, Cheng Huang, Qingbin Zhang, & Peixiang Lu. (2013). Attosecond-resolved electron emission in nonsequential double ionization. Physical Review A. 88(4). 11 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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