Mingchen Yu

711 total citations · 1 hit paper
25 papers, 412 citations indexed

About

Mingchen Yu is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Mingchen Yu has authored 25 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Genetics. Recurrent topics in Mingchen Yu's work include Glioma Diagnosis and Treatment (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and CAR-T cell therapy research (4 papers). Mingchen Yu is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and CAR-T cell therapy research (4 papers). Mingchen Yu collaborates with scholars based in China, Taiwan and Germany. Mingchen Yu's co-authors include Wei Zhang, You Zhai, Changqing Pan, Di Wang, Zhongfang Shi, Tao Jiang, Fan Wu, Guanzhang Li, Ulf D. Kahlert and Huimin Hu and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cell Metabolism and Frontiers in Immunology.

In The Last Decade

Mingchen Yu

23 papers receiving 409 citations

Hit Papers

Glycometabolic reprogramming-induced XRCC1 lactylation co... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Glycometabolic reprogramming-induced XRCC1 lactylation confers therapeutic resistance in ALDH1A3-overexpressing glioblastoma
    2024 92 citations Guanzhang Li, Di Wang et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingchen Yu China 11 197 111 103 103 58 25 412
Pavlina Chuntova United States 10 177 0.9× 83 0.7× 187 1.8× 128 1.2× 48 0.8× 15 415
Xinhui Wang China 12 330 1.7× 95 0.9× 150 1.5× 97 0.9× 30 0.5× 30 516
Zhenxing Guo China 12 323 1.6× 125 1.1× 56 0.5× 80 0.8× 112 1.9× 33 551
Amy Haseley Thorne United States 7 157 0.8× 66 0.6× 79 0.8× 58 0.6× 82 1.4× 12 316
Shan Mi China 11 262 1.3× 170 1.5× 66 0.6× 151 1.5× 59 1.0× 15 494
Young‐Dae Kim South Korea 14 299 1.5× 71 0.6× 78 0.8× 99 1.0× 28 0.5× 22 524
Clayton D. Crawley United States 10 251 1.3× 158 1.4× 95 0.9× 72 0.7× 21 0.4× 10 383
Xing Ren China 10 544 2.8× 153 1.4× 108 1.0× 133 1.3× 16 0.3× 31 724
Dafei Han China 10 238 1.2× 93 0.8× 168 1.6× 189 1.8× 18 0.3× 17 540
Chuanwei Yang United States 15 336 1.7× 111 1.0× 171 1.7× 77 0.7× 40 0.7× 21 577

Countries citing papers authored by Mingchen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mingchen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchen Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingchen Yu. A scholar is included among the top collaborators of Mingchen Yu 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 Mingchen Yu. Mingchen Yu 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.
Zhai, You, Guanzhang Li, Changqing Pan, et al.. (2025). The development and potent antitumor efficacy of CD44/CD133 dual-targeting IL7Rα-armored CAR-T cells against glioblastoma. Cancer Letters. 614. 217541–217541. 9 indexed citations
2.
Xu, Ruijun, et al.. (2025). Knowledge, attitudes, and practices regarding lumbar disc herniation among diagnosed patients. Frontiers in Public Health. 13. 1583361–1583361.
3.
Li, Guanzhang, Di Wang, You Zhai, et al.. (2024). Glycometabolic reprogramming-induced XRCC1 lactylation confers therapeutic resistance in ALDH1A3-overexpressing glioblastoma. Cell Metabolism. 36(8). 1696–1710.e10. 92 indexed citations breakdown →
4.
Yu, Mingchen, et al.. (2024). USP22 inhibits microglial M1 polarization by regulating the PU.1/NLRP3 inflammasome pathway. Brain Research Bulletin. 220. 111157–111157. 3 indexed citations
5.
Zhang, Yanru, Bo Zhang, Nan Zhang, et al.. (2023). Single-cell RNA sequencing identifies critical transcription factors of tumor cell invasion induced by hypoxia microenvironment in glioblastoma. Theranostics. 13(11). 3744–3760. 17 indexed citations
6.
7.
Yu, Mingchen, Yuanhao Chang, You Zhai, et al.. (2023). TREM2 is associated with tumor immunity and implies poor prognosis in glioma. Frontiers in Immunology. 13. 19 indexed citations
8.
Zhai, You, Guanzhang Li, Mingchen Yu, et al.. (2023). Trogocytosis of CAR molecule regulates CAR-T cell dysfunction and tumor antigen escape. Signal Transduction and Targeted Therapy. 8(1). 457–457. 36 indexed citations
9.
10.
Li, Ting, Mingchen Yu, Lulu Han, Bo Feng, & Fenglei Sun. (2023). An overview of systematic reviews of acupuncture for diabetic gastroparesis. Frontiers in Medicine. 10. 1196357–1196357. 2 indexed citations
11.
Wu, Fan, Wenhua Fan, You Zhai, et al.. (2022). Immunological profiles of human oligodendrogliomas define two distinct molecular subtypes. EBioMedicine. 87. 104410–104410. 10 indexed citations
12.
Li, Guanzhang, Ruoyu Huang, Wenhua Fan, et al.. (2021). Galectin-9/TIM-3 as a Key Regulator of Immune Response in Gliomas With Chromosome 1p/19q Codeletion. Frontiers in Immunology. 12. 800928–800928. 8 indexed citations
13.
Zhou, G. Tong, Youming Li, Yucheng He, Xiaoli Wang, & Mingchen Yu. (2018). Artificial fish swarm based power allocation algorithm for MIMO‐OFDM relay underwater acoustic communication. IET Communications. 12(9). 1079–1085. 31 indexed citations
14.
Yu, Mingchen, et al.. (2017). Downregulation of USP4 Promotes Activation of Microglia and Subsequent Neuronal Inflammation in Rat Spinal Cord After Injury. Neurochemical Research. 42(11). 3245–3253. 27 indexed citations
15.
16.
Chen, Yu-Pei, et al.. (2016). Characterization and expression of the antifungal protein from Monascus pilosus and its distribution among various Monascus species. Journal of Bioscience and Bioengineering. 122(1). 27–33. 15 indexed citations
17.
Liu, Jie, Weijie Wu, Jie Hao, et al.. (2016). PRDM5 Expression and Essential Role After Acute Spinal Cord Injury in Adult Rat. Neurochemical Research. 41(12). 3333–3343. 13 indexed citations
18.
Hao, Jie, Xiaohong Chen, Jie Liu, et al.. (2016). The Expression of VHL (Von Hippel-Lindau) After Traumatic Spinal Cord Injury and Its Role in Neuronal Apoptosis. Neurochemical Research. 41(9). 2391–2400. 5 indexed citations
19.
Chen, Xiaohong, Jie Hao, Ting Fu, et al.. (2016). Temporal and Spatial Expression of LGR5 After Acute Spinal Cord Injury in Adult Rats. Neurochemical Research. 41(10). 2645–2654. 5 indexed citations
20.
Lee, Jin‐Ching, et al.. (2005). High-Throughput Cell-Based Screening for Hepatitis C Virus NS3/4A Protease Inhibitors. Assay and Drug Development Technologies. 3(4). 385–392. 12 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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