Li Wu

556 total citations
34 papers, 329 citations indexed

About

Li Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Li Wu has authored 34 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Immunology. Recurrent topics in Li Wu's work include Cancer-related gene regulation (5 papers), Reproductive Biology and Fertility (4 papers) and CRISPR and Genetic Engineering (4 papers). Li Wu is often cited by papers focused on Cancer-related gene regulation (5 papers), Reproductive Biology and Fertility (4 papers) and CRISPR and Genetic Engineering (4 papers). Li Wu collaborates with scholars based in China, United States and Türkiye. Li Wu's co-authors include Tingting Liu, Zhi Yuan, Shaorong Gao, Jiayu Chen, Zhen Qian, Ying Jiang, Li Li, Xiaoxiang Sun, Xiaojun Xu and Jian Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Li Wu

31 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Wu China 11 136 46 39 37 30 34 329
Jae-Jung Kim South Korea 12 122 0.9× 109 2.4× 7 0.2× 36 1.0× 24 0.8× 27 425
Hege Bøvelstad Norway 8 236 1.7× 96 2.1× 5 0.1× 83 2.2× 24 0.8× 10 466
Jianlong Ma China 11 165 1.2× 50 1.1× 6 0.2× 78 2.1× 27 0.9× 32 333
Brunilda Balliu United States 12 225 1.7× 158 3.4× 3 0.1× 58 1.6× 30 1.0× 27 479
Ali A. Hossaini United States 10 62 0.5× 40 0.9× 19 0.5× 4 0.1× 8 0.3× 28 268
Qiu-xiang Du China 10 113 0.8× 27 0.6× 17 0.4× 36 1.0× 26 0.9× 35 257
Jin-Woo Choi South Korea 11 160 1.2× 30 0.7× 6 0.2× 8 0.2× 40 1.3× 35 511
Yunan Zhang China 12 119 0.9× 9 0.2× 22 0.6× 50 1.4× 13 0.4× 52 322
Han Lin China 11 88 0.6× 33 0.7× 4 0.1× 78 2.1× 7 0.2× 20 355
David F. Jenkins United States 11 93 0.7× 32 0.7× 4 0.1× 41 1.1× 18 0.6× 20 306

Countries citing papers authored by Li Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Wu. A scholar is included among the top collaborators of Li 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 Li Wu. Li 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.
Xu, Yiliang, Tao Cheng, Jianzhang Wang, et al.. (2025). Decoding adenomyosis pathogenesis using an assembloid model. Science China Life Sciences. 69(1). 136–150.
2.
Wang, Jiangtao, Yawei Xu, Qiufang Li, et al.. (2025). Halofuginone prevents inflammation and proliferation of high-altitude pulmonary hypertension by inhibiting the TGF-β1/Smad signaling pathway. Scientific Reports. 15(1). 3619–3619.
3.
Liu, Xinya, et al.. (2024). CAR-T therapy pulmonary adverse event profile: a pharmacovigilance study based on FAERS database (2017–2023). Frontiers in Pharmacology. 15. 1434231–1434231. 3 indexed citations
4.
Xu, Yiliang, Xiaocui Xu, Jianzhang Wang, et al.. (2024). Comprehensive transcriptional atlas of human adenomyosis deciphered by the integration of single-cell RNA-sequencing and spatial transcriptomics. Protein & Cell. 15(7). 530–546. 12 indexed citations
5.
6.
Shen, Jiacheng, Li Wu, Xiaoying Shi, et al.. (2024). Transplantation of the LRP1high subpopulation of human umbilical cord-derived mesenchymal stem cells improves ovarian function in mice with premature ovarian failure and aged mice. Stem Cell Research & Therapy. 15(1). 64–64. 6 indexed citations
7.
Chen, Zhao, Joyce H. Keyak, Li Wu, et al.. (2023). Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load. Frontiers in Endocrinology. 14. 1261088–1261088. 3 indexed citations
8.
Zhu, Jiang, Kang Chen, Yu Sun, et al.. (2023). LSM1-mediated Major Satellite RNA decay is required for nonequilibrium histone H3.3 incorporation into parental pronuclei. Nature Communications. 14(1). 957–957. 4 indexed citations
9.
Liu, Dan, Yanping Jia, Hong Zhou, et al.. (2023). Identification of transcriptome characteristics of granulosa cells and the possible role of UBE2C in the pathogenesis of premature ovarian insufficiency. Journal of Ovarian Research. 16(1). 203–203. 9 indexed citations
10.
Wu, Li, et al.. (2023). An ensemble classifier method based on teaching–learning-based optimization for breast cancer diagnosis. Journal of Cancer Research and Clinical Oncology. 149(11). 9337–9348. 1 indexed citations
11.
Du, Yan, Yuanyuan Li, Byeong Yeob Choi, et al.. (2023). Metabolomic profiles associated with physical activity in White and African American adult men. PLoS ONE. 18(11). e0289077–e0289077. 2 indexed citations
12.
Sun, Jiatong, Xiaocui Xu, You Wu, et al.. (2022). Mettl14-driven senescence-associated secretory phenotype facilitates somatic cell reprogramming. Stem Cell Reports. 17(8). 1799–1809. 12 indexed citations
13.
Wu, Li, et al.. (2021). Knockdown of GBP1 inhibits BCG-induced apoptosis in macrophage RAW 264.7 cells via p38/JNK pathway. Infection Genetics and Evolution. 97. 105158–105158. 6 indexed citations
14.
Qiu, Chuan, Chao Xu, Qing Tian, et al.. (2020). Mendelian Randomization Identifies CpG Methylation Sites With Mediation Effects for Genetic Influences on BMD in Peripheral Blood Monocytes. Frontiers in Genetics. 11. 60–60. 8 indexed citations
15.
Chen, Yu, Jiayu Chen, Xiaoxiang Sun, et al.. (2020). The SIRT6 activator MDL‐800 improves genomic stability and pluripotency of old murine‐derived iPS cells. Aging Cell. 19(8). e13185–e13185. 33 indexed citations
16.
Li, Jingyi, Shijun Shen, Jiayu Chen, et al.. (2018). Accurate annotation of accessible chromatin in mouse and human primordial germ cells. Cell Research. 28(11). 1077–1089. 18 indexed citations
17.
Liu, Wei, Li‐Wen Chang, Min Xie, et al.. (2017). Correlation between UGT1A1 polymorphism and neonatal hyperbilirubinemia of neonates in Wuhan. Current Medical Science. 37(5). 740–743. 11 indexed citations
18.
Wu, Li, You Wu, Bing Peng, et al.. (2017). Oocyte-Specific Homeobox 1, Obox1, Facilitates Reprogramming by Promoting Mesenchymal-to-Epithelial Transition and Mitigating Cell Hyperproliferation. Stem Cell Reports. 9(5). 1692–1705. 13 indexed citations
20.
Wu, Li, Xiaojie Huang, Cheng‐Hong Yang, et al.. (2011). 5′-AMP-activated protein kinase (AMPK) regulates progesterone receptor transcriptional activity in breast cancer cells. Biochemical and Biophysical Research Communications. 416(1-2). 172–177. 5 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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