Zhu Chen

3.9k total citations
70 papers, 3.0k citations indexed

About

Zhu Chen is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Zhu Chen has authored 70 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Hematology. Recurrent topics in Zhu Chen's work include Plant Gene Expression Analysis (11 papers), Retinoids in leukemia and cellular processes (11 papers) and Ubiquitin and proteasome pathways (10 papers). Zhu Chen is often cited by papers focused on Plant Gene Expression Analysis (11 papers), Retinoids in leukemia and cellular processes (11 papers) and Ubiquitin and proteasome pathways (10 papers). Zhu Chen collaborates with scholars based in China, France and United States. Zhu Chen's co-authors include Jeffrey M. Friedman, Kıvanç Birsoy, Hugues de Thé, Marcel Koken, Mounira K. Chelbi‐Alix, Jun Zhu, Frédérique Quignon, Laurent Degos, Javier I. Torréns and Bruce M. Spiegelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Zhu Chen

67 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhu Chen China 27 2.3k 505 366 356 334 70 3.0k
Christian Seiser Austria 42 4.8k 2.1× 701 1.4× 569 1.6× 737 2.1× 352 1.1× 83 5.6k
Hitoshi Yoshida Japan 30 2.0k 0.9× 486 1.0× 365 1.0× 623 1.8× 155 0.5× 133 3.1k
David S. Ucker United States 29 2.3k 1.0× 304 0.6× 1.5k 4.1× 367 1.0× 385 1.2× 61 5.1k
Vincenzo Rossi Italy 32 1.8k 0.8× 1.3k 2.5× 419 1.1× 344 1.0× 91 0.3× 95 3.4k
Takeshi Imai Japan 24 1.7k 0.7× 166 0.3× 271 0.7× 406 1.1× 117 0.4× 70 2.7k
Doo‐Sik Kim South Korea 30 1.3k 0.6× 173 0.3× 545 1.5× 557 1.6× 281 0.8× 84 2.4k
Sunil Nagpal United States 38 2.5k 1.1× 226 0.4× 1.0k 2.8× 1.2k 3.4× 418 1.3× 87 4.2k
Toru Tanaka Japan 30 1.6k 0.7× 475 0.9× 429 1.2× 232 0.7× 363 1.1× 89 2.9k
Kwang‐Hyun Baek South Korea 36 2.7k 1.2× 121 0.2× 675 1.8× 410 1.2× 390 1.2× 195 4.3k
Shih-Feng Tsai Taiwan 28 2.5k 1.1× 298 0.6× 409 1.1× 676 1.9× 414 1.2× 49 4.3k

Countries citing papers authored by Zhu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhu Chen. A scholar is included among the top collaborators of Zhu 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 Zhu Chen. Zhu Chen 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.
Shah, Faheem Afzal, et al.. (2025). Genome-wide identification of the UGT genes family in Acer rubrum and role of ArUGT52 in anthocyanin biosynthesis under cold stress. BMC Plant Biology. 25(1). 288–288. 7 indexed citations
2.
3.
Zhang, Guangming, et al.. (2025). A bi-level optimization strategy for flexible and economic operation of the CHP units based on reinforcement learning and multi-objective MPC. Applied Energy. 391. 125850–125850. 3 indexed citations
4.
Shah, Faheem Afzal, et al.. (2024). ArNAC148 induces Acer rubrum leaf senescence by activating the transcription of the ABA receptor gene ArPYR13. International Journal of Biological Macromolecules. 279(Pt 2). 134950–134950. 3 indexed citations
5.
Chen, Zhu, Hongfeng Wu, Yan Jin, et al.. (2024). Enhancing melanoma therapy by modulating the immunosuppressive microenvironment with an MMP-2 sensitive and nHA/GNE co-encapsulated hydrogel. Acta Biomaterialia. 188. 79–92. 10 indexed citations
6.
Chen, Zhu, et al.. (2024). A molten salt energy storage integrated with combined heat and power system: Scheme design and performance analysis. Energy. 313. 133755–133755. 12 indexed citations
7.
Wang, Siqi, et al.. (2024). Neddylation of protein, a new strategy of protein post-translational modification for targeted treatment of central nervous system diseases. Frontiers in Neuroscience. 18. 1467562–1467562. 2 indexed citations
8.
Chen, Zhu, Zixuan Wang, Chunchun Zhu, Hongyan Deng, & Xiaoyun Chen. (2023). Inhibiting neddylation with MLN4924 potentiates hypoxia-induced apoptosis of mouse type B spermatogonia GC-2 cells. Gene. 893. 147935–147935. 1 indexed citations
9.
Chen, Zhu, Xiaoqiang Hou, Bingshe Xu, et al.. (2022). Promotion of Melanoma Cell Proliferation by Cyclic Straining through Regulatory Morphogenesis. International Journal of Molecular Sciences. 23(19). 11884–11884. 12 indexed citations
10.
Chen, Liang, Dawei Zhang, Peng Zhao, et al.. (2021). Single-cell epigenomic landscape of peripheral immune cells reveals establishment of trained immunity in individuals convalescing from COVID-19. Nature Cell Biology. 23(6). 620–630. 69 indexed citations
11.
Chen, Zhu, et al.. (2021). Transcriptomic and metabolomic analyses of non-structural carbohydrates in red maple leaves. Functional & Integrative Genomics. 21(2). 265–281. 8 indexed citations
12.
Yang, Jun, et al.. (2020). The Natural Product Fucoidan Inhibits Proliferation and Induces Apoptosis of Human Ovarian Cancer Cells: Focus on the PI3K/Akt Signaling Pathway. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Lu, Xiaoyu, et al.. (2020). Combined metabolome and transcriptome analyses of photosynthetic pigments in red maple. Plant Physiology and Biochemistry. 154. 476–490. 19 indexed citations
14.
Li, Feng, et al.. (2018). miR-221 suppression through nanoparticle-based miRNA delivery system for hepatocellular carcinoma therapy and its diagnosis as a potential biomarker. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Wen, Bin, Hao Yuan, Haihong Wang, et al.. (2017). GATA5 SUMOylation is indispensable for zebrafish cardiac development. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(7). 1691–1701. 14 indexed citations
16.
Liu, Xing, Zhu Chen, Chenxi Xu, et al.. (2015). Repression of hypoxia-inducible factor α signaling by Set7-mediated methylation. Nucleic Acids Research. 43(10). 5081–5098. 92 indexed citations
17.
Yuan, Hao, Jun Zhou, Min Deng, et al.. (2009). Small ubiquitin-related modifier paralogs are indispensable but functionally redundant during early development of zebrafish. Cell Research. 20(2). 185–196. 38 indexed citations
18.
Chen, Zhu & Melanie H. Cobb. (2001). Regulation of Stress-responsive Mitogen-activated Protein (MAP) Kinase Pathways by TAO2. Journal of Biological Chemistry. 276(19). 16070–16075. 50 indexed citations
19.
Chen, Zhu, et al.. (1987). A NEW SPECIES OF SPIDER OF THE GENUS FLORONIA FROM CHINA (ARANEAE:LINYPHIIDAE). Acta Zootaxonomica Sinica. 1 indexed citations
20.
Chen, Zhu, Li Z, & Sha Yan. (1986). THREE NEW SPECIES OF SPIDERS OF LINYPHIIDAE FROM QINGHAI PROVINCE, CHINA (ARANEAE). Acta Zootaxonomica Sinica. 2 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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