Lingchao Chen

3.0k total citations · 1 hit paper
60 papers, 1.9k citations indexed

About

Lingchao Chen is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Lingchao Chen has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 22 papers in Cancer Research and 18 papers in Genetics. Recurrent topics in Lingchao Chen's work include Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (17 papers) and Cancer-related molecular mechanisms research (11 papers). Lingchao Chen is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (17 papers) and Cancer-related molecular mechanisms research (11 papers). Lingchao Chen collaborates with scholars based in China, United States and Canada. Lingchao Chen's co-authors include Yongli Li, Chunsheng Kang, Chuanlu Jiang, Lingming Zhang, Wenzhong Du, Yu Yao, Tao Jiang, Ying Mao, Yongzhi Wang and Peiyu Pu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Lingchao Chen

57 papers receiving 1.9k citations

Hit Papers

Unraveling mitochondria‐targeting reactive oxygen species... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingchao Chen China 27 1.1k 814 244 180 157 60 1.9k
Douglas Hoffman United States 16 1.3k 1.2× 305 0.4× 77 0.3× 150 0.8× 106 0.7× 35 3.3k
William E. Hughes Australia 31 2.1k 1.9× 310 0.4× 58 0.2× 242 1.3× 155 1.0× 65 3.4k
Bo Yu China 23 800 0.7× 314 0.4× 66 0.3× 367 2.0× 94 0.6× 111 1.7k
Jianhui Chang China 26 1.3k 1.1× 303 0.4× 238 1.0× 272 1.5× 125 0.8× 76 3.8k
Akanksha Verma United States 25 950 0.9× 432 0.5× 74 0.3× 554 3.1× 95 0.6× 71 1.9k
He Ren China 30 1.2k 1.1× 683 0.8× 309 1.3× 929 5.2× 422 2.7× 104 3.1k
Bo Ma China 18 549 0.5× 218 0.3× 69 0.3× 67 0.4× 21 0.1× 49 1.3k
Jungwoon Lee South Korea 20 799 0.7× 233 0.3× 80 0.3× 163 0.9× 81 0.5× 49 1.3k
Lin Wei China 18 766 0.7× 425 0.5× 19 0.1× 161 0.9× 90 0.6× 55 1.3k
Hao Shen China 23 1.1k 1.0× 621 0.8× 39 0.2× 260 1.4× 95 0.6× 102 1.9k

Countries citing papers authored by Lingchao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingchao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingchao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lingchao Chen. A scholar is included among the top collaborators of Lingchao 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 Lingchao Chen. Lingchao 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
2.
Xu, Ziye, Lingchao Chen, Xin Lin, et al.. (2024). Single Nucleus Total RNA Sequencing of Formalin‐Fixed Paraffin‐Embedded Gliomas. Small Methods. 8(10). e2301801–e2301801. 2 indexed citations
3.
Liu, Zhijie, Lingchao Chen, Haixia Cheng, et al.. (2024). Virtual formalin-fixed and paraffin-embedded staining of fresh brain tissue via stimulated Raman CycleGAN model. Science Advances. 10(13). eadn3426–eadn3426. 36 indexed citations
4.
Chen, Yingyao, et al.. (2024). Real-world cost- effectiveness analysis: Tumor Treating Fields for newly diagnosed glioblastoma in China. Journal of Neuro-Oncology. 168(2). 259–267. 2 indexed citations
5.
Chen, Lingchao, et al.. (2023). Optimal design of aperiodic tri-slot antennas for the conformal ablation of liver tumors using an experimentally validated MWA computer model. Computer Methods and Programs in Biomedicine. 242. 107799–107799. 8 indexed citations
6.
Li, Xia, Tiantongfei Jiang, Jing Bai, et al.. (2018). Characterization of Transcriptome Transition Associates Long Noncoding RNAs with Glioma Progression. Molecular Therapy — Nucleic Acids. 13. 620–632. 30 indexed citations
7.
Zhang, Jing, Dongqing Cao, Lingchao Chen, et al.. (2018). Amphotericin B suppresses M2 phenotypes and B7-H1 expression in macrophages to prevent Raji cell proliferation. BMC Cancer. 18(1). 467–467. 13 indexed citations
8.
Li, Jianlong, Jinquan Cai, Shihong Zhao, et al.. (2016). GANT61, a GLI inhibitor, sensitizes glioma cells to the temozolomide treatment. Journal of Experimental & Clinical Cancer Research. 35(1). 184–184. 59 indexed citations
9.
Zhang, Haitao, Ping Zhang, Yi Gao, et al.. (2016). Early VEGF inhibition attenuates blood-brain barrier disruption in ischemic rat brains by regulating the expression of MMPs. Molecular Medicine Reports. 15(1). 57–64. 82 indexed citations
10.
Qi, Zengxin, Jiajun Cai, Lingchao Chen, et al.. (2016). miR-491 regulates glioma cells proliferation by targeting TRIM28 in vitro. BMC Neurology. 16(1). 248–248. 30 indexed citations
11.
Chen, Lingchao, Hongxing Ye, Xiaomei Wang, et al.. (2014). Evidence of brain tumor stem progenitor-like cells with low proliferative capacity in human benign pituitary adenoma. Cancer Letters. 349(1). 61–66. 27 indexed citations
12.
Du, Wenzhong, Xing Liu, Lingchao Chen, et al.. (2014). Targeting the SMO oncogene by miR-326 inhibits glioma biological behaviors and stemness. Neuro-Oncology. 17(2). 243–253. 69 indexed citations
13.
Du, Wenzhong, Feng Yan, Xiaofeng Wang, et al.. (2013). Curcumin Suppresses Malignant Glioma Cells Growth and Induces Apoptosis by Inhibition of SHH/GLI1 Signaling Pathway in Vitro and Vivo. CNS Neuroscience & Therapeutics. 19(12). 926–936. 79 indexed citations
14.
Chen, Lingchao, Haiyan Zhang, Zhiyong Qin, et al.. (2013). Serological Identification of URGCP as a Potential Biomarker for Glioma. CNS Neuroscience & Therapeutics. 20(4). 301–307. 12 indexed citations
15.
Li, Ruiyan, Lingchao Chen, Haiyan Zhang, et al.. (2013). MiR‐139 Inhibits Mcl‐1 Expression and Potentiates TMZ‐Induced Apoptosis in Glioma. CNS Neuroscience & Therapeutics. 19(7). 477–483. 72 indexed citations
16.
Zhang, Kailiang, Lei Han, Luyue Chen, et al.. (2013). Blockage of a miR-21/EGFR regulatory feedback loop augments anti-EGFR therapy in glioblastomas. Cancer Letters. 342(1). 139–149. 74 indexed citations
17.
Chen, Lingchao, Lei Han, Kailiang Zhang, et al.. (2012). VHL regulates the effects of miR-23b on glioma survival and invasion via suppression of HIF-1α/VEGF and β-catenin/Tcf-4 signaling. Neuro-Oncology. 14(8). 1026–1036. 90 indexed citations
18.
Liu, Yanwei, Wei Yan, Wei Zhang, et al.. (2012). MiR-218 reverses high invasiveness of glioblastoma cells by targeting the oncogenic transcription factor LEF1. Oncology Reports. 28(3). 1013–1021. 83 indexed citations
19.
Chen, Lingchao, Wei Zhang, Wei Yan, et al.. (2012). The Putative Tumor Suppressor miR-524–5p Directly Targets Jagged-1 and Hes-1 in Glioma. Carcinogenesis. 33(11). 2276–2282. 70 indexed citations
20.
Wu, Yi‐Cheng, et al.. (2002). Prenatal diagnosis of mosaic tetrasomy 10p associated with megacisterna magna, echogenic focus of left ventricle, umbilical cord cysts and distal arthrogryposis. American Journal of Medical Genetics Part A. 117A(3). 278–281. 18 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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