Dan Yu

1.4k total citations · 1 hit paper
23 papers, 1.0k citations indexed

About

Dan Yu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Dan Yu has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Dan Yu's work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (5 papers) and Cancer-related gene regulation (4 papers). Dan Yu is often cited by papers focused on Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (5 papers) and Cancer-related gene regulation (4 papers). Dan Yu collaborates with scholars based in China, South Korea and Finland. Dan Yu's co-authors include Jianmei Gu, Maoye Wang, Xu Zhang, Wenrong Xu, Xinjian Fang, Hui Cai, Yoon‐La Choi, Yu Jin Kim, Mingi Kim and Xiaoxin Zhang and has published in prestigious journals such as ACS Nano, International Journal of Molecular Sciences and Molecular Cancer.

In The Last Decade

Dan Yu

21 papers receiving 993 citations

Hit Papers

Exosomes as a new frontier of cancer liquid biopsy 2022 2026 2023 2024 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Yu China 13 795 482 135 126 99 23 1.0k
Xinjian Fang China 10 964 1.2× 600 1.2× 206 1.5× 124 1.0× 121 1.2× 21 1.2k
Joanne L. Welton United Kingdom 7 865 1.1× 456 0.9× 102 0.8× 97 0.8× 83 0.8× 7 1.0k
Carolina Soekmadji Australia 16 574 0.7× 337 0.7× 179 1.3× 180 1.4× 125 1.3× 22 892
Maoye Wang China 15 1.0k 1.3× 669 1.4× 143 1.1× 99 0.8× 122 1.2× 27 1.2k
Farah Fatima Brazil 11 960 1.2× 599 1.2× 86 0.6× 58 0.5× 74 0.7× 13 1.2k
Huandi Zhou China 13 750 0.9× 512 1.1× 47 0.3× 93 0.7× 90 0.9× 40 980
Tomasz Lorenc Poland 9 426 0.5× 266 0.6× 86 0.6× 89 0.7× 55 0.6× 22 591
Max Piffoux France 14 877 1.1× 416 0.9× 307 2.3× 71 0.6× 68 0.7× 32 1.1k
Zhongyuan Yin China 17 440 0.6× 234 0.5× 91 0.7× 166 1.3× 193 1.9× 34 754

Countries citing papers authored by Dan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Yu. A scholar is included among the top collaborators of Dan 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 Dan Yu. Dan 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.
Yu, Dan, Jianmei Gu, Maoye Wang, et al.. (2025). Integrated Microfluidic Chip for Neutrophil Extracellular Vesicle Analysis and Gastric Cancer Diagnosis. ACS Nano. 19(10). 10078–10092. 11 indexed citations
2.
Yu, Dan, Jiahui Zhang, Maoye Wang, et al.. (2024). The new advance of exosome-based liquid biopsy for cancer diagnosis. Journal of Nanobiotechnology. 22(1). 610–610. 15 indexed citations
3.
Wang, Maoye, Xinjian Fang, Yanke Chen, et al.. (2024). Circ6834 suppresses non-small cell lung cancer progression by destabilizing ANHAK and regulating miR-873-5p/TXNIP axis. Molecular Cancer. 23(1). 128–128. 12 indexed citations
4.
Yu, Dan, Jiahui Zhang, Maoye Wang, et al.. (2024). Exosomal miRNAs from neutrophils act as accurate biomarkers for gastric cancer diagnosis. Clinica Chimica Acta. 554. 117773–117773. 11 indexed citations
5.
Zhang, Jiahui, Dan Yu, Maoye Wang, et al.. (2024). Exosomal miR-4745-5p/3911 from N2-polarized tumor-associated neutrophils promotes gastric cancer metastasis by regulating SLIT2. Molecular Cancer. 23(1). 198–198. 24 indexed citations
6.
Zhang, Jiahui, Hui Shi, Maoye Wang, et al.. (2024). M2 Tumor‐Associated Macrophages‐Derived Exosomal MALAT1 Promotes Glycolysis and Gastric Cancer Progression. Advanced Science. 11(24). e2309298–e2309298. 34 indexed citations
7.
Wang, Ying, Xuejing Zhang, Jing Wang, et al.. (2024). Genomic insights into the seawater adaptation in Cyprinidae. BMC Biology. 22(1). 87–87. 3 indexed citations
8.
Wang, Maoye, Jing Xu, Dan Yu, et al.. (2023). LINC02159 promotes non-small cell lung cancer progression via ALYREF/YAP1 signaling. Molecular Cancer. 22(1). 122–122. 50 indexed citations
9.
Zhang, Xiao-Xin, Jiahui Zhang, Maoye Wang, et al.. (2023). SALL4 promotes angiogenesis in gastric cancer by regulating VEGF expression and targeting SALL4/VEGF pathway inhibits cancer progression. Cancer Cell International. 23(1). 149–149. 14 indexed citations
10.
Zhang, Xiaoxin, Maoye Wang, Jiahui Zhang, et al.. (2023). The new advance of SALL4 in cancer: Function, regulation, and implication. Journal of Clinical Laboratory Analysis. 37(9-10). e24927–e24927. 8 indexed citations
11.
Zhu, Xinlin, et al.. (2023). Progress in the application of nanoparticles for the treatment of fungal infections: A review. Mycology: An International Journal on Fungal Biology. 15(1). 1–16. 11 indexed citations
12.
Liu, Yihang, Xiaokun Wang, Jia‐Rong Wu, et al.. (2022). Extracellular vesicles from bone marrow stromal cells reduce the impact of stroke on glial cell activation and blood brain‐barrier permeability via a putative miR‐124/PRX1 signalling pathway. European Journal of Neuroscience. 56(2). 3786–3805. 17 indexed citations
13.
Lu, Tao, et al.. (2022). TBC1D14 inhibits autophagy to suppress lymph node metastasis in head and neck squamous cell carcinoma by downregulating macrophage erythroblast attacher. International Journal of Biological Sciences. 18(5). 1795–1812. 11 indexed citations
14.
Yu, Dan, Maoye Wang, Jianmei Gu, et al.. (2022). Exosomes as a new frontier of cancer liquid biopsy. Molecular Cancer. 21(1). 56–56. 604 indexed citations breakdown →
15.
Li, Lei, et al.. (2021). Expression and Functional Relevance of ANXA1 in Hypopharyngeal Carcinoma with Lymph Node Metastasis. OncoTargets and Therapy. Volume 14. 1387–1399. 7 indexed citations
16.
Kim, Yu Jin, Mingi Kim, Hyung Kyu Park, et al.. (2019). Co-expression of MDM2 and CDK4 in transformed human mesenchymal stem cells causes high-grade sarcoma with a dedifferentiated liposarcoma-like morphology. Laboratory Investigation. 99(9). 1309–1320. 22 indexed citations
17.
Park, Hyung Kyu, Dan Yu, Ensel Oh, et al.. (2019). Molecular changes in solitary fibrous tumor progression. Journal of Molecular Medicine. 97(10). 1413–1425. 49 indexed citations
18.
Lin, Yusheng, Xiao Xiong, Kai Li, et al.. (2019). Detection of Exosomal PD-L1 RNA in Saliva of Patients With Periodontitis. Frontiers in Genetics. 10. 202–202. 75 indexed citations
19.
Sun, Tian, Guiyou Tian, Fuliang Bai, et al.. (2014). [The synergism and mechanism of action of rClone30-hDR5 in combination with TRAIL on HCC].. PubMed. 49(7). 985–92. 2 indexed citations
20.
Dong, Qian, et al.. (2010). Expression of the reversion‐inducing cysteine‐rich protein with Kazal motifs and matrix metalloproteinase‐14 in neuroblastoma and the role in tumour metastasis. International Journal of Experimental Pathology. 91(4). 368–373. 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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