Mingjie An

690 total citations · 1 hit paper
16 papers, 415 citations indexed

About

Mingjie An is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mingjie An has authored 16 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Mingjie An's work include Extracellular vesicles in disease (7 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Mingjie An is often cited by papers focused on Extracellular vesicles in disease (7 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Mingjie An collaborates with scholars based in China, Australia and United Arab Emirates. Mingjie An's co-authors include Changhao Chen, Hanhao Zheng, Yuming Luo, Yao Kong, Tianxin Lin, Wang He, Yue Zhao, Yuting Li, Bowen Gao and Yan Lin and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Cancer Cell.

In The Last Decade

Mingjie An

16 papers receiving 411 citations

Hit Papers

PDGFRα+ITGA11+ fibroblasts foster early-stage cancer lymp... 2024 2026 2025 2024 20 40 60
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. PDGFRα+ITGA11+ fibroblasts foster early-stage cancer lymphovascular invasion and lymphatic metastasis via ITGA11-SELE interplay
    2024 69 citations Hanhao Zheng, Mingjie An et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjie An China 8 323 202 98 61 59 16 415
Xuxin Ren China 7 282 0.9× 149 0.7× 98 1.0× 85 1.4× 24 0.4× 8 390
Hanhao Zheng China 10 479 1.5× 326 1.6× 135 1.4× 75 1.2× 66 1.1× 16 590
Fengying Du China 9 338 1.0× 220 1.1× 120 1.2× 41 0.7× 52 0.9× 24 490
Zeli Yin China 8 217 0.7× 199 1.0× 100 1.0× 84 1.4× 26 0.4× 11 371
Kailiu Wu China 9 181 0.6× 134 0.7× 110 1.1× 64 1.0× 58 1.0× 13 351
Dali Yan China 12 390 1.2× 345 1.7× 99 1.0× 37 0.6× 40 0.7× 14 503
Renpeng Xia China 9 233 0.7× 167 0.8× 98 1.0× 34 0.6× 51 0.9× 19 338
Xinde Ou China 7 237 0.7× 199 1.0× 88 0.9× 90 1.5× 54 0.9× 8 389
Yanfeng Yin China 8 262 0.8× 197 1.0× 50 0.5× 73 1.2× 28 0.5× 8 361
Yingru Xu China 9 218 0.7× 119 0.6× 70 0.7× 32 0.5× 29 0.5× 20 322

Countries citing papers authored by Mingjie An

Since Specialization
Citations

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

Fields of papers citing papers by Mingjie An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjie An

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjie An. A scholar is included among the top collaborators of Mingjie An 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 Mingjie An. Mingjie An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Zheng, Hanhao, Mingjie An, Yuming Luo, et al.. (2024). PDGFRα+ITGA11+ fibroblasts foster early-stage cancer lymphovascular invasion and lymphatic metastasis via ITGA11-SELE interplay. Cancer Cell. 42(4). 682–700.e12. 69 indexed citations breakdown →
3.
Chen, Changhao, Hanhao Zheng, Yan Lin, et al.. (2024). UBE2C-induced crosstalk between mono- and polyubiquitination of SNAT2 promotes lymphatic metastasis in bladder cancer. Journal of Clinical Investigation. 134(13). 3 indexed citations
4.
Lin, Yan, Hanhao Zheng, Linpei Jia, et al.. (2024). Integrin α6‐containing extracellular vesicles promote lymphatic remodelling for pre‐metastatic niche formation in lymph nodes via interplay with CD151. Journal of Extracellular Vesicles. 13(10). e12518–e12518. 9 indexed citations
5.
Zhang, Dingwen, Yan Lin, Fang Zhou, et al.. (2024). Endosomal Trafficking Bypassed by the RAB5B‐CD109 Interplay Promotes Axonogenesis in KRAS‐Mutant Pancreatic Cancer. Advanced Science. 11(47). e2405092–e2405092. 1 indexed citations
6.
An, Mingjie, Prince Last Mudenda Zilundu, Junyu Chen, et al.. (2024). Anatomical variations of the brachial plexus in adult cadavers: A descriptive study and clinical significance. Microsurgery. 44(5). 6 indexed citations
7.
Li, Yuting, Hanhao Zheng, Yuming Luo, et al.. (2023). An HGF‐dependent positive feedback loop between bladder cancer cells and fibroblasts mediates lymphangiogenesis and lymphatic metastasis. Cancer Communications. 43(12). 1289–1311. 23 indexed citations
8.
Kong, Yao, Yuming Luo, Yue Zhao, et al.. (2023). Mutant KRAS Mediates circARFGEF2 Biogenesis to Promote Lymphatic Metastasis of Pancreatic Ductal Adenocarcinoma. Cancer Research. 83(18). 3077–3094. 33 indexed citations
9.
Chen, Changhao, Yuming Luo, Hanhao Zheng, et al.. (2023). Extracellular vesicle-mediated heterogeneous communication between cancer and the lymphatic system facilitates lymphatic metastasis. Cancer Biology and Medicine. 20(3). 174–180. 1 indexed citations
10.
Li, Yuanlong, Yao Kong, Mingjie An, et al.. (2023). ZEB1-mediated biogenesis of circNIPBL sustains the metastasis of bladder cancer via Wnt/β-catenin pathway. Journal of Experimental & Clinical Cancer Research. 42(1). 191–191. 30 indexed citations
11.
Zhao, Yue, Hanhao Zheng, Mingjie An, et al.. (2023). SUMOylation-Driven mRNA Circularization Enhances Translation and Promotes Lymphatic Metastasis of Bladder Cancer. Cancer Research. 84(3). 434–448. 5 indexed citations
12.
Luo, Yuming, Zhihua Li, Yao Kong, et al.. (2022). KRAS mutant–driven SUMOylation controls extracellular vesicle transmission to trigger lymphangiogenesis in pancreatic cancer. Journal of Clinical Investigation. 132(14). 42 indexed citations
13.
Chen, Changhao, Hanhao Zheng, Yuming Luo, et al.. (2021). SUMOylation promotes extracellular vesicle–mediated transmission of lncRNA ELNAT1 and lymph node metastasis in bladder cancer. Journal of Clinical Investigation. 131(8). 101 indexed citations
14.
Zheng, Hanhao, Changhao Chen, Yuming Luo, et al.. (2021). Tumor‐derived exosomal BCYRN1 activates WNT5A/VEGF‐C/VEGFR3 feedforward loop to drive lymphatic metastasis of bladder cancer. SHILAP Revista de lepidopterología. 11(7). e497–e497. 81 indexed citations
15.
Zhao, Yong, Mingjie An, He Zhang, et al.. (2019). Patient-derived bladder cancer xenograft models reveal VEGF and CDK4 enhancing tumor metastasis behavior. RSC Advances. 9(31). 17877–17884. 2 indexed citations
16.

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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