Yudan Wu

415 total citations
27 papers, 288 citations indexed

About

Yudan Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yudan Wu has authored 27 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Yudan Wu's work include Estrogen and related hormone effects (4 papers), NF-κB Signaling Pathways (4 papers) and Cancer-related Molecular Pathways (3 papers). Yudan Wu is often cited by papers focused on Estrogen and related hormone effects (4 papers), NF-κB Signaling Pathways (4 papers) and Cancer-related Molecular Pathways (3 papers). Yudan Wu collaborates with scholars based in China, United States and Taiwan. Yudan Wu's co-authors include Shuangfeng Xie, Danian Nie, Songmei Yin, Liping Ma, Yiqing Li, Xiuju Wang, Jie Xiao, Xiaoyu Gao, Jim Hardie and Xiaoying Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Yudan Wu

25 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yudan Wu China 10 154 40 40 39 34 27 288
Katrin Fischhuber Austria 8 224 1.5× 50 1.3× 43 1.1× 68 1.7× 23 0.7× 10 413
Shuangfeng Xie China 10 147 1.0× 47 1.2× 34 0.8× 42 1.1× 37 1.1× 35 333
Hanchi Miao China 7 234 1.5× 48 1.2× 39 1.0× 49 1.3× 63 1.9× 7 345
Soumita De India 11 166 1.1× 35 0.9× 30 0.8× 91 2.3× 22 0.6× 21 434
Si Jun Park South Korea 12 203 1.3× 37 0.9× 59 1.5× 65 1.7× 29 0.9× 23 434
Jinyoung Suh South Korea 9 194 1.3× 107 2.7× 56 1.4× 34 0.9× 28 0.8× 18 360
Elisa Helena Farias Jandrey Brazil 12 182 1.2× 61 1.5× 56 1.4× 37 0.9× 21 0.6× 17 386
Satomi Miki Japan 12 220 1.4× 76 1.9× 35 0.9× 67 1.7× 21 0.6× 14 498
Barbara Bonamassa Italy 13 261 1.7× 44 1.1× 45 1.1× 28 0.7× 15 0.4× 17 463
Chandra Sekhar Chirumamilla Belgium 9 161 1.0× 38 0.9× 44 1.1× 29 0.7× 13 0.4× 11 306

Countries citing papers authored by Yudan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yudan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yudan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yudan Wu. A scholar is included among the top collaborators of Yudan 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 Yudan Wu. Yudan 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.
Yang, Xiaohan, et al.. (2024). Emergence and circulation of enterovirus B species in infants in southern China: A multicenter retrospective analysis. Virulence. 15(1). 2329569–2329569. 2 indexed citations
2.
Wu, Yudan, et al.. (2023). Design of Compact SIW Bandpass Filter with High Selectivity. Progress In Electromagnetics Research Letters. 112. 35–40.
3.
Wu, Yudan, et al.. (2023). Structure-aware Heatmap and Boundary Map Regression Based Robust Face Alignment. Advances in Electrical and Computer Engineering. 23(2). 3–10. 1 indexed citations
4.
Wu, Yudan, et al.. (2022). Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke. Medical & Biological Engineering & Computing. 60(10). 2841–2849. 10 indexed citations
5.
Wu, Yudan & Yuhong Jiang. (2022). Happy Sweets or Not? The Affective Effect of Different Concentrations of Sweetness. 179–183. 1 indexed citations
6.
Shi, Yujie, Zhikun Ma, Qiong Cheng, et al.. (2020). FGFR1 overexpression renders breast cancer cells resistant to metformin through activation of IRS1/ERK signaling. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(1). 118877–118877. 15 indexed citations
7.
Gao, Xiaoyu, et al.. (2019). SENP2 suppresses NF-κB activation and sensitizes breast cancer cells to doxorubicin. European Journal of Pharmacology. 854. 179–186. 21 indexed citations
8.
Wu, Yudan, et al.. (2018). Acupoint positioning system based on PSO-BP neural network. SHILAP Revista de lepidopterología. 3 indexed citations
9.
Nie, Danian, Songmei Yin, Yiqing Li, et al.. (2018). KPT-330 inhibition of chromosome region maintenance 1 is cytotoxic and sensitizes chronic myeloid leukemia to Imatinib. Cell Death Discovery. 4(1). 48–48. 19 indexed citations
10.
Jiang, Yuan, Yudan Wu, Jim Hardie, & Xiaoying Zhou. (2017). Mast cell chymase affects the proliferation and metastasis of lung carcinoma cells in vitro. Oncology Letters. 14(3). 3193–3198. 19 indexed citations
11.
Xiao, Jie, Songmei Yin, Shuangfeng Xie, et al.. (2014). The role of AMP-activated protein kinase in quercetin-induced apoptosis of HL-60 cells. Acta Biochimica et Biophysica Sinica. 46(5). 394–400. 8 indexed citations
12.
Li, Yiqing, Songmei Yin, Shuangfeng Xie, et al.. (2012). [Effect of mPGES-1 inhibitor MK886 on cell cycle of leukemia HL-60 cells].. PubMed. 20(5). 1072–6. 1 indexed citations
13.
Li, Yiqing, Songmei Yin, Danian Nie, et al.. (2012). [Effect of mPGES-1 inhibitor MK886 on apoptosis and drug resistance of HL-60/A cells].. PubMed. 20(4). 829–34. 3 indexed citations
14.
Nie, Danian, Songmei Yin, Yiqing Li, et al.. (2012). Synergistic/additive interaction of valproic acid with bortezomib on proliferation and apoptosis of acute myeloid leukemia cells. Leukemia & lymphoma. 53(12). 2487–2495. 20 indexed citations
15.
Sun, Liwei, Yudan Wu, Jingming Li, et al.. (2011). Ontogenetic expression and 17β-estradiol regulation of immune-related genes in early life stages of Japanese medaka (Oryzias latipes). Fish & Shellfish Immunology. 30(4-5). 1131–1137. 26 indexed citations
16.
Li, Yiqing, Songmei Yin, Danian Nie, et al.. (2011). MK886 inhibits the proliferation of HL-60 leukemia cells by suppressing the expression of mPGES-1 and reducing prostaglandin E2 synthesis. International Journal of Hematology. 94(5). 472–478. 24 indexed citations
17.
Li, Yiqing, Songmei Yin, Danian Nie, et al.. (2010). [Effect of valproic acid on apoptosis of leukemia HL-60 cells and expression of h-tert gene].. PubMed. 18(6). 1445–50. 3 indexed citations
18.
Yin, Songmei, Shuangfeng Xie, Yiqing Li, et al.. (2010). Quercetin induces apoptosis by activating caspase-3 and regulating Bcl-2 and cyclooxygenase-2 pathways in human HL-60 cells. Acta Biochimica et Biophysica Sinica. 43(1). 30–37. 79 indexed citations
19.
Xiao, Jie, Songmei Yin, Yiqing Li, et al.. (2009). SKP2 siRNA inhibits the degradation of P27<sup>kip1</sup> and down-regulates the expression of MRP in HL-60/A cells. Acta Biochimica et Biophysica Sinica. 41(8). 699–708. 8 indexed citations
20.
Chen, Yan, Yudan Wu, Jing He, & Wenjuan Chen. (2002). The experimental and clinical study on the effect of curcumin on cell cycle proteins and regulating proteins of apoptosis in acute myelogenous leukemia. Current Medical Science. 22(4). 295–298. 11 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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