Sen Wu

2.4k total citations
69 papers, 1.7k citations indexed

About

Sen Wu is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Sen Wu has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 28 papers in Genetics and 5 papers in Nutrition and Dietetics. Recurrent topics in Sen Wu's work include CRISPR and Genetic Engineering (25 papers), Animal Genetics and Reproduction (16 papers) and Pluripotent Stem Cells Research (13 papers). Sen Wu is often cited by papers focused on CRISPR and Genetic Engineering (25 papers), Animal Genetics and Reproduction (16 papers) and Pluripotent Stem Cells Research (13 papers). Sen Wu collaborates with scholars based in China, United States and Ireland. Sen Wu's co-authors include Mario R. Capecchi, Qiang Wu, Guoxin Ying, Yuanyuan Wu, Shau‐Kwaun Chen, Gerald J. Spangrude, Petr Tvrdík, Scott Cho, Xuguang Du and John F. Atkins and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sen Wu

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Wu China 21 975 364 229 207 202 69 1.7k
Marcin Wawrzyniak Switzerland 24 952 1.0× 227 0.6× 103 0.4× 134 0.6× 420 2.1× 52 2.6k
Enrique Leo Portiansky Argentina 25 731 0.7× 125 0.3× 149 0.7× 57 0.3× 237 1.2× 132 1.9k
Elizabeth C. Bryda United States 22 1.4k 1.4× 511 1.4× 104 0.5× 203 1.0× 144 0.7× 72 2.2k
J. Hikke van Doorninck Netherlands 15 971 1.0× 249 0.7× 112 0.5× 72 0.3× 328 1.6× 17 1.8k
Narendrakumar Ramanan United States 17 955 1.0× 186 0.5× 74 0.3× 91 0.4× 602 3.0× 30 2.0k
Bingbing Yuan United States 20 2.0k 2.1× 434 1.2× 67 0.3× 297 1.4× 475 2.4× 32 3.3k
Dena Leshkowitz Israel 30 2.1k 2.2× 354 1.0× 95 0.4× 234 1.1× 195 1.0× 64 3.5k
Julio Contreras Spain 20 878 0.9× 166 0.5× 88 0.4× 215 1.0× 173 0.9× 47 2.1k
Abdul Karim Sesay United Kingdom 20 949 1.0× 447 1.2× 48 0.2× 71 0.3× 138 0.7× 45 1.9k
Eiki Takahashi Japan 25 1.3k 1.4× 265 0.7× 77 0.3× 162 0.8× 913 4.5× 129 2.6k

Countries citing papers authored by Sen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Wu. A scholar is included among the top collaborators of Sen 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 Sen Wu. Sen 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.
2.
Zhang, Lilan, et al.. (2025). KCNK3 coordinates adipocyte lipid storage and thermogenic shifts via AMPK, modulating a ferroptosis-permissive state. Cellular Signalling. 138. 112214–112214. 1 indexed citations
3.
Duan, Xiaoyue, Chaolei Chen, Chang Du, et al.. (2025). Homozygous editing of multiple genes for accelerated generation of xenotransplantation pigs. Genome Research. 35(5). 1167–1178. 2 indexed citations
4.
Meng, Shujuan, Ai‐Jun Miao, Sen Wu, Xuguang Du, & Fei Gao. (2025). Genetically modified chickens as bioreactors for protein-based drugs. Frontiers in Genome Editing. 6. 1522837–1522837. 3 indexed citations
5.
Yang, Wenping, Jing Zhang, Guoqiang Zhu, et al.. (2025). African swine fever virus I177L induces host inflammatory responses by facilitating the TRAF6-TAK1 axis and NLRP3 inflammasome assembly. Journal of Virology. 99(4). e0208024–e0208024.
6.
Orr, Laurel, et al.. (2024). Evaluating Text-to-SQL Model Failures on Real-World Data. 1–1. 2 indexed citations
7.
8.
Liu, Peng, Jinghua Jiang, Fei Gao, et al.. (2024). Identification of Cables1 as a critical host factor that promotes ALV-J replication via genome-wide CRISPR/Cas9 gene knockout screening. Journal of Biological Chemistry. 300(11). 107804–107804. 2 indexed citations
9.
Zhuang, Lei, et al.. (2023). Characterization and analysis of the muscle transcriptome in black Tibetan sheep (Ovis aries) by hybrid sequencing of PacBio Iso-seq. Small Ruminant Research. 227. 107093–107093. 1 indexed citations
10.
Wang, Zheng, Xiaoqin Li, Zhongtao Yin, et al.. (2021). MYOD1 inhibits avian adipocyte differentiation via miRNA-206/KLF4 axis. Journal of Animal Science and Biotechnology. 12(1). 55–55. 11 indexed citations
11.
Lu, Hengxing, Jun Liu, Tao Feng, et al.. (2021). A HIT-trapping strategy for rapid generation of reversible and conditional alleles using a universal donor. Genome Research. 31(5). 900–909. 8 indexed citations
12.
Chen, Lingli, Jiaqiang Huang, Yuanyuan Wu, et al.. (2021). Loss of Selenov predisposes mice to extra fat accumulation and attenuated energy expenditure. Redox Biology. 45. 102048–102048. 29 indexed citations
13.
Wang, Haoyi, Sen Wu, Mario R. Capecchi, & Rudolf Jaenisch. (2020). A brief review of genome editing technology for generating animal models. Frontiers of Agricultural Science and Engineering. 7(2). 123–123. 6 indexed citations
14.
Wang, Xifeng, Wen-hai Feng, Shujun Zhang, et al.. (2019). A high-throughput screen for genes essential for PRRSV infection using a piggyBac-based system. Virology. 531. 19–30. 11 indexed citations
15.
Li, Shuping, et al.. (2018). Regulation and function of avian selenogenome. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(11). 2473–2479. 26 indexed citations
16.
Chen, Shau‐Kwaun, Petr Tvrdík, Scott Cho, et al.. (2010). Hematopoietic Origin of Pathological Grooming in Hoxb8 Mutant Mice. Cell. 141(5). 775–785. 326 indexed citations
17.
Xue, Haipeng, Sen Wu, Sophia T. Papadeas, et al.. (2009). A Targeted Neuroglial Reporter Line Generated by Homologous Recombination in Human Embryonic Stem Cells. Stem Cells. 27(8). 1836–1846. 58 indexed citations
18.
Jia, Qunshan, Bradley W. McDill, Sen Wu, et al.. (2008). Ablation of developing podocytes disrupts cellular interactions and nephrogenesis both inside and outside the glomerulus. American Journal of Physiology-Renal Physiology. 295(6). F1790–F1798. 9 indexed citations
19.
Wu, Sen, Yuanyuan Wu, & Mario R. Capecchi. (2006). Motoneurons and oligodendrocytes are sequentially generated from neural stem cells but do not appear to share common lineage-restricted progenitors in vivo. Development. 133(4). 581–590. 156 indexed citations
20.
Jiang, Lingling, Jiafang Wang, R. Sergio Solórzano-Vargas, et al.. (2004). Characterization of the rat intestinal Fc receptor (FcRn) promoter: transcriptional regulation ofFcRngene by the Sp family of transcription factors. American Journal of Physiology-Gastrointestinal and Liver Physiology. 286(6). G922–G931. 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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