Yan Zhou

20.2k total citations · 1 hit paper
104 papers, 2.6k citations indexed

About

Yan Zhou is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Yan Zhou has authored 104 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 16 papers in Genetics and 14 papers in Plant Science. Recurrent topics in Yan Zhou's work include Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (14 papers) and Mesenchymal stem cell research (11 papers). Yan Zhou is often cited by papers focused on Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (14 papers) and Mesenchymal stem cell research (11 papers). Yan Zhou collaborates with scholars based in China, United States and Denmark. Yan Zhou's co-authors include Yaya Tang, Jianhua Zhang, Hon‐Ming Lam, Feng Li, Marcia A. Ogasawara, Michael J. Keating, Zhao Chen, Salvador Nogués, Yonglun Luo and Lifeng Huang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yan Zhou

96 papers receiving 2.5k citations

Hit Papers

Advances in mesenchymal stem cell exosomes: a review 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Zhou China 24 1.6k 490 488 262 227 104 2.6k
Bing Zhou China 28 2.0k 1.2× 463 0.9× 519 1.1× 58 0.2× 160 0.7× 85 2.9k
Francesca Beretti Italy 29 1.0k 0.6× 246 0.5× 253 0.5× 303 1.2× 573 2.5× 82 2.5k
Xuemei Liu China 30 1.4k 0.9× 235 0.5× 241 0.5× 283 1.1× 111 0.5× 109 2.6k
Ángel Ayuso‐Sacido Spain 26 1.4k 0.9× 649 1.3× 173 0.4× 357 1.4× 116 0.5× 63 2.5k
Xiaogang Wang China 25 2.1k 1.3× 827 1.7× 165 0.3× 98 0.4× 336 1.5× 53 2.7k
Lan Lin United States 23 2.4k 1.5× 668 1.4× 339 0.7× 184 0.7× 239 1.1× 39 3.2k
Geppino Falco Italy 31 2.1k 1.2× 553 1.1× 158 0.3× 139 0.5× 267 1.2× 87 3.2k
Karen Chapman United States 26 2.6k 1.6× 137 0.3× 552 1.1× 185 0.7× 420 1.9× 43 4.0k
David J. Milan United States 35 2.6k 1.6× 213 0.4× 337 0.7× 172 0.7× 537 2.4× 83 4.7k

Countries citing papers authored by Yan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Zhou. A scholar is included among the top collaborators of Yan Zhou 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 Yan Zhou. Yan Zhou 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.
Zhou, Yan. (2025). Acteoside synthesis and biosynthesis regulation: Five years,a breakthrough. Pharmacological Research - Natural Products. 6. 100195–100195.
2.
Li, Kun, Shaojie Zhang, Yan Zhou, et al.. (2025). Development of a deep learning model for measuring sagittal parameters on cervical spine X-ray. European Spine Journal. 34(9). 3798–3808.
3.
Padhiar, Arshad Ahmed, Zhu Li, Wei Shu, et al.. (2024). MAM‐STAT3‐Driven Mitochondrial Ca+2 Upregulation Contributes to Immunosenescence in Type A Mandibuloacral Dysplasia Patients. Advanced Science. 12(5). e2407398–e2407398. 2 indexed citations
4.
Li, Mingzhu, Xiaoyan Wu, Guanghui Yue, et al.. (2024). Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures. BMC Biology. 22(1). 1–1. 18 indexed citations
5.
Huang, Fei, Chunyan Zhang, Wenjing Yang, et al.. (2024). Identification of a DNA damage repair-related LncRNA signature for predicting the prognosis and immunotherapy response of hepatocellular carcinoma. BMC Genomics. 25(1). 155–155. 3 indexed citations
6.
Liu, Mianxin, Jingyang Zhang, Yan Zhou, et al.. (2023). A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks. iScience. 26(11). 108244–108244. 2 indexed citations
7.
Liu, Yongliang, Barunava Patra, Sanjay K. Singh, et al.. (2021). Terpenoid indole alkaloid biosynthesis in Catharanthus roseus: effects and prospects of environmental factors in metabolic engineering. Biotechnology Letters. 43(11). 2085–2103. 39 indexed citations
8.
Zhou, Yan, Yuan Liang, Qing Yan, et al.. (2020). The draft genome of horseshoe crab Tachypleus tridentatus reveals its evolutionary scenario and well-developed innate immunity. BMC Genomics. 21(1). 137–137. 20 indexed citations
9.
Zhou, Yan, et al.. (2018). One-step Derivation of Functional Mesenchymal Stem Cells from Human Pluripotent Stem Cells. BIO-PROTOCOL. 8(22). e3080–e3080. 11 indexed citations
10.
Xiong, Kai, Yan Zhou, P. Hyttel, et al.. (2017). RNA-Guided Activation of Pluripotency Genes in Human Fibroblasts. Cellular Reprogramming. 19(3). 189–198. 15 indexed citations
11.
Zhang, Wei, Yan Zhou, Xinran Ji, et al.. (2015). Synergistic Effects of BMP9 and miR-548d-5p on Promoting Osteogenic Differentiation of Mesenchymal Stem Cells. BioMed Research International. 2015. 1–9. 13 indexed citations
12.
Jiang, Jianping, Jianlei Gu, Liang Zhang, et al.. (2015). Comparing Mycobacterium tuberculosis genomes using genome topology networks. BMC Genomics. 16(1). 85–85. 5 indexed citations
13.
Zhou, Yan, Maosheng Sun, Hongjun Li, et al.. (2013). Recovery of behavioral symptoms in hemi-parkinsonian rhesus monkeys through combined gene and stem cell therapy. Cytotherapy. 15(4). 467–480. 31 indexed citations
14.
Ma, Bingji, et al.. (2012). Lanostane-type triterpenes from the sporoderm-broken spores of Ganoderma lucidum. The Journal of Antibiotics. 65(3). 165–167. 16 indexed citations
15.
Huang, Yongye, Xiaochun Tang, Wanhua Xie, et al.. (2011). Histone Deacetylase Inhibitor Significantly Improved the Cloning Efficiency of Porcine Somatic Cell Nuclear Transfer Embryos. Cellular Reprogramming. 13(6). 513–520. 42 indexed citations
17.
Zhou, Yunfei, Yan Zhou, Takashi Shingu, et al.. (2011). Metabolic Alterations in Highly Tumorigenic Glioblastoma Cells. Journal of Biological Chemistry. 286(37). 32843–32853. 205 indexed citations
18.
Zhou, Yan, Hon‐Ming Lam, & Jianhua Zhang. (2007). Inhibition of photosynthesis and energy dissipation induced by water and high light stresses in rice. Journal of Experimental Botany. 58(5). 1207–1217. 197 indexed citations
19.
Yin, Daqiang, et al.. (2003). Pentachorophenol-induced oxidative stress in liver of crucian carp. 19(1). 40–42. 2 indexed citations
20.
Zhou, Yan, Guyang Matthew Huang, & Liping Wei. (2002). UniBLAST: a system to filter, cluster, and display BLASTresults and assign unique gene annotation. Bioinformatics. 18(9). 1268–1268. 8 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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