Feizhen Wu

6.5k total citations · 2 hit papers
51 papers, 3.4k citations indexed

About

Feizhen Wu is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Feizhen Wu has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Epidemiology. Recurrent topics in Feizhen Wu's work include Epigenetics and DNA Methylation (23 papers), RNA modifications and cancer (16 papers) and Cancer-related gene regulation (9 papers). Feizhen Wu is often cited by papers focused on Epigenetics and DNA Methylation (23 papers), RNA modifications and cancer (16 papers) and Cancer-related gene regulation (9 papers). Feizhen Wu collaborates with scholars based in China, United States and United Kingdom. Feizhen Wu's co-authors include Yang Shi, Yujiang Geno Shi, Li Tan, Lijun Xiong, Lijuan Zheng, Wenqi Xu, Ruitu Lv, Lingchun Kong, Fei Lan and Honghui Ma and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Feizhen Wu

49 papers receiving 3.4k citations

Hit Papers

Genome-wide Regulation of 5hmC, 5mC, and Gene Expression ... 2011 2026 2016 2021 2011 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feizhen Wu China 24 2.8k 837 317 279 228 51 3.4k
Sergi Sayols Germany 28 2.4k 0.8× 680 0.8× 539 1.7× 185 0.7× 241 1.1× 41 3.0k
María Berdasco Spain 27 2.5k 0.9× 505 0.6× 426 1.3× 137 0.5× 229 1.0× 49 3.3k
Jeong‐Heon Lee United States 33 2.8k 1.0× 376 0.4× 388 1.2× 304 1.1× 219 1.0× 84 3.5k
Jueng Soo You South Korea 23 2.0k 0.7× 459 0.5× 247 0.8× 208 0.7× 269 1.2× 46 2.5k
Aibin He China 32 2.9k 1.0× 936 1.1× 366 1.2× 209 0.7× 153 0.7× 61 3.4k
Lluís Morey United States 26 4.1k 1.5× 684 0.8× 595 1.9× 234 0.8× 436 1.9× 41 4.6k
Marjorie Brand Canada 33 3.1k 1.1× 324 0.4× 303 1.0× 228 0.8× 202 0.9× 65 3.5k
Giuseppe Zardo Italy 21 2.3k 0.8× 1.1k 1.3× 252 0.8× 209 0.7× 272 1.2× 38 2.8k
Giovanni Perini Italy 33 2.4k 0.9× 479 0.6× 427 1.3× 217 0.8× 425 1.9× 69 3.3k
Duncan Sproul United Kingdom 21 2.5k 0.9× 382 0.5× 450 1.4× 165 0.6× 157 0.7× 35 2.9k

Countries citing papers authored by Feizhen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feizhen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feizhen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Feizhen Wu. A scholar is included among the top collaborators of Feizhen 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 Feizhen Wu. Feizhen 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.
Li, Dan, Yuqun Cai, Rui Zou, et al.. (2024). Astrocyte allocation during brain development is controlled by Tcf4-mediated fate restriction. The EMBO Journal. 43(21). 5114–5140. 2 indexed citations
3.
Li, Ning, Kangkang Yu, Minhui Dong, et al.. (2022). Intrahepatic transcriptomics reveals gene signatures in chronic hepatitis B patients responded to interferon therapy. Emerging Microbes & Infections. 11(1). 1876–1889. 7 indexed citations
4.
Xu, Wenqi, Chenxi He, Jiahui Li, et al.. (2022). Dynamic control of chromatin-associated m6A methylation regulates nascent RNA synthesis. Molecular Cell. 82(6). 1156–1168.e7. 105 indexed citations
5.
Xu, Wenqi, Jiahui Li, Chenxi He, et al.. (2021). METTL3 regulates heterochromatin in mouse embryonic stem cells. Nature. 591(7849). 317–321. 246 indexed citations breakdown →
6.
Li, Shuangqi, Feizhen Wu, Jiabin Cai, et al.. (2020). TET 2 promotes anti‐tumor immunity by governing G‐ MDSC s and CD 8 + T‐cell numbers. EMBO Reports. 21(10). e49425–e49425. 34 indexed citations
7.
Fetahu, Irfete S., Christian Argueta, Michael R. Smith, et al.. (2019). Epigenetic signatures of methylated DNA cytosine in Alzheimer’s disease. Science Advances. 5(8). eaaw2880–eaaw2880. 41 indexed citations
8.
Wang, Ying, Chao Yin, Zhidan Chen, et al.. (2019). Cardiac-specific LRP6 knockout induces lipid accumulation through Drp1/CPT1b pathway in adult mice. Cell and Tissue Research. 380(1). 143–153. 8 indexed citations
9.
Li, Jin, Wei Li, Huaibing Luo, et al.. (2019). Guide Positioning Sequencing identifies aberrant DNA methylation patterns that alter cell identity and tumor-immune surveillance networks. Genome Research. 29(2). 270–280. 28 indexed citations
10.
Le, Qiumin, Biao Yan, Yanqing Li, et al.. (2017). Drug-seeking motivation level in male rats determines offspring susceptibility or resistance to cocaine-seeking behaviour. Nature Communications. 8(1). 15527–15527. 65 indexed citations
11.
Ma, Chun, Violetta Karwacki-Neisius, Haoran Tang, et al.. (2016). Nono, a Bivalent Domain Factor, Regulates Erk Signaling and Mouse Embryonic Stem Cell Pluripotency. Cell Reports. 17(4). 997–1007. 33 indexed citations
12.
Shen, Hongjie, Wenqi Xu, Rui Guo, et al.. (2016). Suppression of Enhancer Overactivation by a RACK7-Histone Demethylase Complex. Cell. 165(2). 331–342. 132 indexed citations
13.
Liefke, Robert, Jochen Gaedcke, Gabriela Salinas-Riester, et al.. (2015). The oxidative demethylase ALKBH3 marks hyperactive gene promoters in human cancer cells. Genome Medicine. 7(1). 66–66. 14 indexed citations
14.
Chen, Yan, Qiang Wu, Yongxiang Jiang, et al.. (2014). Effect of HSF4b on age related cataract may through its novel downstream target Hif1α. Biochemical and Biophysical Research Communications. 453(3). 674–678. 3 indexed citations
15.
Guo, Rui, Lijuan Zheng, Juw Won Park, et al.. (2014). BS69/ZMYND11 Reads and Connects Histone H3.3 Lysine 36 Trimethylation-Decorated Chromatin to Regulated Pre-mRNA Processing. Molecular Cell. 56(2). 298–310. 168 indexed citations
16.
Tan, Li, Lijun Xiong, Wenqi Xu, et al.. (2013). Genome-wide comparison of DNA hydroxymethylation in mouse embryonic stem cells and neural progenitor cells by a new comparative hMeDIP-seq method. Nucleic Acids Research. 41(7). e84–e84. 78 indexed citations
17.
Chen, Shuzhen, Jian Ma, Feizhen Wu, et al.. (2012). The histone H3 Lys 27 demethylase JMJD3 regulates gene expression by impacting transcriptional elongation. Genes & Development. 26(12). 1364–1375. 130 indexed citations
18.
Rajakumara, Eerappa, Zhentian Wang, Honghui Ma, et al.. (2011). PHD Finger Recognition of Unmodified Histone H3R2 Links UHRF1 to Regulation of Euchromatic Gene Expression. Molecular Cell. 43(2). 275–284. 159 indexed citations
19.
Chen, Ting, Zhouqing Huang, Liansheng Wang, et al.. (2009). MicroRNA-125a-5p partly regulates the inflammatory response, lipid uptake, and ORP9 expression in oxLDL-stimulated monocyte/macrophages. Cardiovascular Research. 83(1). 131–139. 254 indexed citations
20.
Ke, Ai‐Wu, Guo‐Ming Shi, Jian Zhou, et al.. (2008). Role of overexpression of CD151 and/or c-Met in predicting prognosis of hepatocellular carcinoma #. Hepatology. 49(2). 491–503. 184 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026