Yingmin Wu

2.6k total citations
20 papers, 1.3k citations indexed

About

Yingmin Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yingmin Wu has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Yingmin Wu's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and Protein Degradation and Inhibitors (3 papers). Yingmin Wu is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and Protein Degradation and Inhibitors (3 papers). Yingmin Wu collaborates with scholars based in China, United States and Hong Kong. Yingmin Wu's co-authors include Hongsheng Wang, Zhuojia Chen, Jiexin Li, Feng Chen, Guanmin Jiang, Lichen Ge, Xiangling Yang, Linlin Lu, Huanliang Liu and Jun Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Cancer Research.

In The Last Decade

Yingmin Wu

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingmin Wu China 15 1.2k 767 154 62 56 20 1.3k
Francesca Aguiló United States 17 1.6k 1.4× 788 1.0× 110 0.7× 94 1.5× 56 1.0× 26 1.8k
Shuhan Sun China 9 1.3k 1.1× 809 1.1× 205 1.3× 119 1.9× 51 0.9× 15 1.4k
Haiyun Xie China 20 953 0.8× 575 0.7× 97 0.6× 96 1.5× 90 1.6× 31 1.1k
Lu Zang China 12 716 0.6× 448 0.6× 216 1.4× 41 0.7× 69 1.2× 26 923
Lorena Verduci Italy 11 1.1k 0.9× 788 1.0× 137 0.9× 17 0.3× 40 0.7× 12 1.2k
Xiaomin Liu China 14 1.2k 1.0× 508 0.7× 79 0.5× 149 2.4× 45 0.8× 36 1.3k
Kaori Kitae Japan 14 783 0.7× 465 0.6× 80 0.5× 38 0.6× 41 0.7× 28 880
Xing Feng China 13 823 0.7× 337 0.4× 129 0.8× 92 1.5× 77 1.4× 29 1.0k

Countries citing papers authored by Yingmin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingmin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingmin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingmin Wu. A scholar is included among the top collaborators of Yingmin Wu 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 Yingmin Wu. Yingmin Wu 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.
Zhang, Tuo, Jin Niu, Tianhe Ren, et al.. (2024). METTL3 prevents granulosa cells mitophagy by regulating YTHDF2-mediated BNIP3 mRNA degradation due to arsenic exposure. Ecotoxicology and Environmental Safety. 286. 117233–117233. 2 indexed citations
2.
Ge, Lichen, et al.. (2024). The RNA m6A reader IGF2BP3 regulates NFAT1/IRF1 axis-mediated anti-tumor activity in gastric cancer. Cell Death and Disease. 15(3). 192–192. 10 indexed citations
3.
Wu, Yingmin, Lian Li, Long Wang, et al.. (2024). m1A regulator-mediated methylation modification patterns correlated with autophagy to predict the prognosis of hepatocellular carcinoma. BMC Cancer. 24(1). 506–506. 4 indexed citations
4.
Zeng, Zhirui, Lian Li, Shan Lei, et al.. (2023). Sinapine thiocyanate exhibited anti-colorectal cancer effects by inhibiting KRT6A/S100A2 axis. Cancer Biology & Therapy. 24(1). 2249170–2249170. 5 indexed citations
5.
Lei, Shan, Zhirui Zeng, Tengxiang Chen, et al.. (2023). Luteoloside Induces G0/G1 Phase Arrest of Neuroblastoma Cells by Targeting p38 MAPK. Molecules. 28(4). 1748–1748. 7 indexed citations
6.
Wu, Yingmin, Zhuojia Chen, Guoyou Xie, et al.. (2022). RNA m 1 A methylation regulates glycolysis of cancer cells through modulating ATP5D. Proceedings of the National Academy of Sciences. 119(28). e2119038119–e2119038119. 65 indexed citations
7.
Chen, Feng, Zhuojia Chen, Tao Guan, et al.. (2021). N6 -Methyladenosine Regulates mRNA Stability and Translation Efficiency of KRT7 to Promote Breast Cancer Lung Metastasis. Cancer Research. 81(11). 2847–2860. 90 indexed citations
8.
Wu, Yingmin, Xiangling Yang, Guanmin Jiang, et al.. (2021). 5′-tRF-GlyGCC: a tRNA-derived small RNA as a novel biomarker for colorectal cancer diagnosis. Genome Medicine. 13(1). 20–20. 96 indexed citations
9.
Ge, Lichen, Nan Zhang, Zhuojia Chen, et al.. (2020). Level of N6-Methyladenosine in Peripheral Blood RNA: A Novel Predictive Biomarker for Gastric Cancer. Clinical Chemistry. 66(2). 342–351. 63 indexed citations
10.
Ge, Lichen, Nan Zhang, Dandan Li, et al.. (2020). Circulating exosomal small RNAs are promising non‐invasive diagnostic biomarkers for gastric cancer. Journal of Cellular and Molecular Medicine. 24(24). 14502–14513. 68 indexed citations
11.
Wu, Yingmin, Xiangling Yang, Zhuojia Chen, et al.. (2019). m6A-induced lncRNA RP11 triggers the dissemination of colorectal cancer cells via upregulation of Zeb1. Molecular Cancer. 18(1). 87–87. 307 indexed citations
12.
Lu, Linlin, Zhuojia Chen, Lin Tian, et al.. (2019). Inhibition of BRD4 suppresses the malignancy of breast cancer cells via regulation of Snail. Cell Death and Differentiation. 27(1). 255–268. 85 indexed citations
13.
An, Panpan, Jiexin Li, Linlin Lu, et al.. (2018). Histone deacetylase 8 triggers the migration of triple negative breast cancer cells via regulation of YAP signals. European Journal of Pharmacology. 845. 16–23. 27 indexed citations
14.
Wu, Yingmin, et al.. (2018). Study of surgical treatment for elderly patients with head and neck cancer. International Journal of Oral and Maxillofacial Surgery. 47(7). 824–829. 15 indexed citations
15.
Deng, Qianqian, Guanmin Jiang, Yingmin Wu, et al.. (2018). GPER/Hippo-YAP signal is involved in Bisphenol S induced migration of triple negative breast cancer (TNBC) cells. Journal of Hazardous Materials. 355. 1–9. 55 indexed citations
16.
Wang, Yuan, Guohui Wan, Yingmin Wu, et al.. (2018). AP-1 confers resistance to anti-cancer therapy by activating XIAP. Oncotarget. 9(18). 14124–14137. 14 indexed citations
17.
Chen, Zhuojia, Meijie Qi, Bin Shen, et al.. (2018). Transfer RNA demethylase ALKBH3 promotes cancer progression via induction of tRNA-derived small RNAs. Nucleic Acids Research. 47(5). 2533–2545. 273 indexed citations
18.
Wang, Zhaotong, Zhuojia Chen, Guanmin Jiang, et al.. (2016). Histone deacetylase inhibitors suppress mutant p53 transcription via HDAC8/YY1 signals in triple negative breast cancer cells. Cellular Signalling. 28(5). 506–515. 73 indexed citations
19.
20.
He, Zhi, Yang Li, Yingmin Wu, et al.. (2014). Differentiation and morphogenesis of the ovary and expression of gonadal development‐related genes in the protogynous hermaphroditic ricefield eelMonopterus albus. Journal of Fish Biology. 85(5). 1381–1394. 17 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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