Nan Wu

3.6k total citations
90 papers, 2.6k citations indexed

About

Nan Wu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Nan Wu has authored 90 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 28 papers in Cancer Research and 14 papers in Epidemiology. Recurrent topics in Nan Wu's work include Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (15 papers) and MicroRNA in disease regulation (13 papers). Nan Wu is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (15 papers) and MicroRNA in disease regulation (13 papers). Nan Wu collaborates with scholars based in China, Canada and United States. Nan Wu's co-authors include O Karmin, Yaw L. Siow, Christopher C.W. Hughes, Lindsei K. Sarna, Sun‐Young Hwang, Mingzuo Jiang, Katrina M. Welch-Reardon, Yi Chu, Yongzhan Nie and Haiming Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Nan Wu

85 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Wu China 30 1.5k 915 352 265 265 90 2.6k
Ling Xu China 33 1.5k 0.9× 759 0.8× 183 0.5× 374 1.4× 620 2.3× 92 2.8k
Zhen‐Guo Ma China 36 1.9k 1.2× 547 0.6× 353 1.0× 435 1.6× 457 1.7× 66 3.9k
Jian Wu China 30 1.5k 1.0× 551 0.6× 217 0.6× 229 0.9× 393 1.5× 118 3.0k
Qiong Shi China 32 1.9k 1.3× 855 0.9× 294 0.8× 564 2.1× 251 0.9× 112 3.3k
Li‐Der Hsiao Taiwan 31 1.3k 0.8× 476 0.5× 174 0.5× 219 0.8× 168 0.6× 86 2.6k
Yan Xiong China 31 2.0k 1.3× 1.2k 1.3× 123 0.3× 426 1.6× 290 1.1× 149 3.4k
Miguel A. Gijón United States 27 1.9k 1.2× 822 0.9× 596 1.7× 266 1.0× 256 1.0× 42 3.3k
Lu Zheng China 31 1.6k 1.0× 842 0.9× 349 1.0× 557 2.1× 374 1.4× 140 3.0k
Ning Hou China 31 1.9k 1.2× 585 0.6× 204 0.6× 283 1.1× 399 1.5× 116 3.0k

Countries citing papers authored by Nan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Wu. A scholar is included among the top collaborators of Nan 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 Nan Wu. Nan 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.
Fan, Ligang, Furong Ju, Wenju Sun, et al.. (2024). Chrom-seq identifies RNAs at chromatin marks. Science Advances. 10(31). eadn1397–eadn1397. 6 indexed citations
2.
Zhou, Xin, Yan Shi, Dan Li, et al.. (2024). Radiolabelled anti-PD-L1 peptide PET/CT in predicting the efficacy of neoadjuvant immunotherapy combined with chemotherapy in resectable non-small cell lung cancer. Annals of Nuclear Medicine. 39(4). 364–372. 2 indexed citations
3.
Zhang, Linxiang, Xueying Zhang, Yanbin Shi, et al.. (2024). Role and potential therapeutic value of histone methyltransferases in drug resistance mechanisms in lung cancer. Frontiers in Oncology. 14. 1376916–1376916. 4 indexed citations
4.
Tang, Zhaohui, et al.. (2023). Intratympanic injection of hydrogel nanodrug for the prevention and treatment of sensorineural hearing loss. Journal of Otology. 18(4). 235–239. 2 indexed citations
5.
Wu, Nan, et al.. (2023). Circulating microRNAs as diagnostic biomarkers for melanoma: a systematic review and meta-analysis. BMC Cancer. 23(1). 12 indexed citations
6.
Du, Xiaojuan, Qian Chen, Xiaofei Yan, et al.. (2022). Pdcd4 promotes lipid deposition by attenuating PPARα-mediated fatty acid oxidation in hepatocytes. Molecular and Cellular Endocrinology. 545. 111562–111562. 12 indexed citations
7.
Han, Yuying, Xiaoliang Gao, Nan Wu, et al.. (2022). Long noncoding RNA LINC00239 inhibits ferroptosis in colorectal cancer by binding to Keap1 to stabilize Nrf2. Cell Death and Disease. 13(8). 742–742. 54 indexed citations
8.
9.
Chen, Mengxia, Wenjing Sun, Nan Wu, et al.. (2021). C-Myc-activated long non-coding RNA LINC01050 promotes gastric cancer growth and metastasis by sponging miR-7161-3p to regulate SPZ1 expression. Journal of Experimental & Clinical Cancer Research. 40(1). 351–351. 15 indexed citations
10.
Chu, Yi, Mingzuo Jiang, Nan Wu, et al.. (2020). O-GlcNAcylation of SIX1 enhances its stability and promotes Hepatocellular Carcinoma Proliferation. Theranostics. 10(21). 9830–9842. 49 indexed citations
11.
Wu, Nan, Mingzuo Jiang, Haiming Liu, et al.. (2020). LINC00941 promotes CRC metastasis through preventing SMAD4 protein degradation and activating the TGF-β/SMAD2/3 signaling pathway. Cell Death and Differentiation. 28(1). 219–232. 125 indexed citations
12.
Liu, Hao, Feng Du, Lina Sun, et al.. (2019). GATA6 suppresses migration and metastasis by regulating the miR-520b/CREB1 axis in gastric cancer. Cell Death and Disease. 10(2). 31 indexed citations
13.
Han, Yuying, Nan Wu, Mingzuo Jiang, et al.. (2019). Long non‐coding RNA MYOSLID functions as a competing endogenous RNA to regulate MCL‐1 expression by sponging miR‐29c‐3p in gastric cancer. Cell Proliferation. 52(6). e12678–e12678. 53 indexed citations
14.
Jiang, Mingzuo, Nan Wu, Xi Chen, et al.. (2019). Pathogenesis of and major animal models used for nonalcoholic fatty liver disease. Journal of International Medical Research. 47(4). 1453–1466. 24 indexed citations
15.
Dong, Hao, et al.. (2018). miR-125b promotes tau phosphorylation by targeting the neural cell adhesion molecule in neuropathological progression. Neurobiology of Aging. 73. 41–49. 28 indexed citations
16.
Liu, Haiming, Zhe Zhang, Nan Wu, et al.. (2018). Integrative Analysis of Dysregulated lncRNA-Associated ceRNA Network Reveals Functional lncRNAs in Gastric Cancer. Genes. 9(6). 303–303. 53 indexed citations
17.
Wu, Nan, Yuying Han, Haiming Liu, et al.. (2018). miR-5590-3p inhibited tumor growth in gastric cancer by targeting DDX5/AKT/m-TOR pathway. Biochemical and Biophysical Research Communications. 503(3). 1491–1497. 34 indexed citations
18.
Wu, Nan, et al.. (2016). Outcomes of balloon eustachian tuboplasty for refractory otitis media with effusion. 14(5). 565. 1 indexed citations
19.
Wu, Nan, Lindsei K. Sarna, Sun‐Young Hwang, et al.. (2013). Activation of 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase during high fat diet feeding. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(10). 1560–1568. 89 indexed citations
20.
Wu, Nan, Yaw L. Siow, & O Karmin. (2010). Ischemia/Reperfusion Reduces Transcription Factor Sp1-mediated Cystathionine β-Synthase Expression in the Kidney. Journal of Biological Chemistry. 285(24). 18225–18233. 53 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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