Wanze Chen

1.9k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Wanze Chen is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Wanze Chen has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Wanze Chen's work include Cell death mechanisms and regulation (7 papers), Single-cell and spatial transcriptomics (4 papers) and NF-κB Signaling Pathways (4 papers). Wanze Chen is often cited by papers focused on Cell death mechanisms and regulation (7 papers), Single-cell and spatial transcriptomics (4 papers) and NF-κB Signaling Pathways (4 papers). Wanze Chen collaborates with scholars based in China, Switzerland and United States. Wanze Chen's co-authors include Jiahuai Han, Jianfeng Wu, Lisheng Li, Yingying Zhang, Chuan‐Qi Zhong, Suqin Wu, Xiaojuan Zhou, Junming Ren, Zhirong Zhang and Bart Deplancke and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Wanze Chen

17 papers receiving 1.4k citations

Hit Papers

Live-seq enables temporal transcriptomic recording of sin... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanze Chen China 13 1.0k 500 269 178 138 19 1.4k
Hirotada Kojima Japan 15 791 0.8× 663 1.3× 225 0.8× 261 1.5× 160 1.2× 18 1.4k
Show‐Li Chen Taiwan 26 799 0.8× 272 0.5× 282 1.0× 153 0.9× 116 0.8× 66 1.5k
Ivan Peng United States 12 444 0.4× 535 1.1× 277 1.0× 130 0.7× 108 0.8× 12 1.2k
Bongkun Choi South Korea 22 531 0.5× 346 0.7× 196 0.7× 233 1.3× 151 1.1× 43 1.2k
Moustafa Attar United Kingdom 14 572 0.5× 419 0.8× 187 0.7× 243 1.4× 99 0.7× 26 1.3k
Zhongde Ye United States 21 761 0.7× 575 1.1× 157 0.6× 259 1.5× 185 1.3× 26 1.6k
Bruce Motyka Canada 16 516 0.5× 646 1.3× 162 0.6× 153 0.9× 114 0.8× 43 1.3k
Johan Garaude France 18 812 0.8× 819 1.6× 151 0.6× 156 0.9× 247 1.8× 24 1.5k
Nengming Xiao China 18 560 0.5× 660 1.3× 145 0.5× 246 1.4× 155 1.1× 27 1.4k
Ivan Dzhagalov United States 21 719 0.7× 1.0k 2.1× 548 2.0× 200 1.1× 119 0.9× 36 1.8k

Countries citing papers authored by Wanze Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wanze Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanze Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wanze Chen. A scholar is included among the top collaborators of Wanze Chen 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 Wanze Chen. Wanze Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Liu, Wangjie, Wouter Saelens, Pernille Yde Rainer, et al.. (2025). Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq. Nature Genetics. 57(10). 2522–2535.
2.
Liu, Yifei, Kai Huang, & Wanze Chen. (2024). Resolving cellular dynamics using single-cell temporal transcriptomics. Current Opinion in Biotechnology. 85. 103060–103060. 4 indexed citations
3.
Chen, Yafei, Xinying Wang, Yudan Gao, et al.. (2024). LNK/SH2B3 Loss Exacerbates the Development of Myeloproliferative Neoplasms in CBL-deficient Mice. Stem Cell Reviews and Reports. 21(2). 509–519.
4.
Wu, Jianfeng, Tingting Ai, Peng He, et al.. (2024). Cecal necroptosis triggers lethal cardiac dysfunction in TNF-induced severe SIRS. Cell Reports. 43(10). 114778–114778. 1 indexed citations
5.
Chen, Wanze, Orane Guillaume‐Gentil, Pernille Yde Rainer, et al.. (2022). Live-seq enables temporal transcriptomic recording of single cells. Nature. 608(7924). 733–740. 155 indexed citations breakdown →
6.
Pezoldt, Joern, Mangge Zou, Maria Litovchenko, et al.. (2022). Postnatal expansion of mesenteric lymph node stromal cells towards reticular and CD34+ stromal cell subsets. Nature Communications. 13(1). 7227–7227. 8 indexed citations
7.
Chen, Wanze, Petra Schwalie, Carine Gubelmann, et al.. (2019). ZFP30 promotes adipogenesis through the KAP1-mediated activation of a retrotransposon-derived Pparg2 enhancer. Nature Communications. 10(1). 1809–1809. 26 indexed citations
8.
Wang, Qiong, Anying Song, Wanze Chen, et al.. (2018). Reversible De-differentiation of Mature White Adipocytes into Preadipocyte-like Precursors during Lactation. Cell Metabolism. 28(2). 282–288.e3. 129 indexed citations
9.
Pradhan, Rachana, Vincent Gardeux, Petra Schwalie, et al.. (2017). Dissecting the brown adipogenic regulatory network using integrative genomics. Scientific Reports. 7(1). 42130–42130. 17 indexed citations
10.
Li, Lisheng, Hong Yang, Yan He, et al.. (2017). Ubiquitin-Specific Protease USP6 Regulates the Stability of the c-Jun Protein. Molecular and Cellular Biology. 38(2). 29 indexed citations
11.
Chen, Wanze, Vincent Gardeux, Antonio C.A. Meireles-Filho, & Bart Deplancke. (2017). Profiling of Single‐Cell Transcriptomes. PubMed. 7(3). 145–175. 13 indexed citations
12.
Wu, Suqin, Yaoji Liang, Xiaojuan Zhou, et al.. (2015). RIP1/RIP3 Binding to HSV-1 ICP6 Initiates Necroptosis to Restrict Virus Propagation in Mice. Cell Host & Microbe. 17(2). 229–242. 214 indexed citations
13.
Xu, Meng, et al.. (2015). Clnk plays a role in TNF-alpha-induced cell death in murine fibrosarcoma cell line L929. Biochemical and Biophysical Research Communications. 463(3). 275–279. 6 indexed citations
14.
Chen, Wanze, Jianfeng Wu, Lisheng Li, et al.. (2015). Ppm1b negatively regulates necroptosis through dephosphorylating Rip3. Nature Cell Biology. 17(4). 434–444. 129 indexed citations
15.
Wu, Xiurong, Wanting He, Shuye Tian, et al.. (2014). pelo Is Required for High Efficiency Viral Replication. PLoS Pathogens. 10(4). e1004034–e1004034. 34 indexed citations
16.
Li, Lisheng, Wanze Chen, Yaoji Liang, et al.. (2014). The Gβγ-Src signaling pathway regulates TNF-induced necroptosis via control of necrosome translocation. Cell Research. 24(4). 417–432. 24 indexed citations
17.
Chen, Wanze, Zhenru Zhou, Lisheng Li, et al.. (2013). Diverse Sequence Determinants Control Human and Mouse Receptor Interacting Protein 3 (RIP3) and Mixed Lineage Kinase domain-Like (MLKL) Interaction in Necroptotic Signaling. Journal of Biological Chemistry. 288(23). 16247–16261. 220 indexed citations
18.
Wu, Jianfeng, Junming Ren, Zhirong Zhang, et al.. (2013). Mlkl knockout mice demonstrate the indispensable role of Mlkl in necroptosis. Cell Research. 23(8). 994–1006. 362 indexed citations
19.
Cheng, Wei, Lixin Hong, Wanze Chen, et al.. (2007). Adenine Nucleotide (ADP/ATP) Translocase 3 Participates in the Tumor Necrosis Factor–induced Apoptosis of MCF-7 Cells. Molecular Biology of the Cell. 18(11). 4681–4689. 32 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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