Yun Zhao

5.5k total citations
136 papers, 3.5k citations indexed

About

Yun Zhao is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Cell Biology. According to data from OpenAlex, Yun Zhao has authored 136 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 18 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Cell Biology. Recurrent topics in Yun Zhao's work include Hedgehog Signaling Pathway Studies (31 papers), Epigenetics and DNA Methylation (24 papers) and Developmental Biology and Gene Regulation (16 papers). Yun Zhao is often cited by papers focused on Hedgehog Signaling Pathway Studies (31 papers), Epigenetics and DNA Methylation (24 papers) and Developmental Biology and Gene Regulation (16 papers). Yun Zhao collaborates with scholars based in China, United States and Germany. Yun Zhao's co-authors include Jin Jiang, Chao Tong, Zhaocai Zhou, Jianhang Jia, Zhao Zhang, Yue Xiong, Bing Wang, Lin Fu, Haiying Hang and Wenqing Wu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yun Zhao

131 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Zhao China 34 2.6k 547 463 435 346 136 3.5k
Bingyu Mao China 22 2.8k 1.1× 672 1.2× 437 0.9× 380 0.9× 218 0.6× 88 3.5k
Zongbin Cui China 27 1.5k 0.6× 532 1.0× 400 0.9× 346 0.8× 215 0.6× 87 3.4k
Naoki Goshima Japan 32 3.3k 1.3× 680 1.2× 417 0.9× 489 1.1× 484 1.4× 119 4.3k
Pradeep Reddy United States 26 2.3k 0.9× 466 0.9× 301 0.7× 233 0.5× 338 1.0× 47 3.9k
Di Jiang China 33 3.0k 1.2× 441 0.8× 865 1.9× 602 1.4× 372 1.1× 77 4.8k
Vincent Schulz United States 34 2.6k 1.0× 392 0.7× 315 0.7× 333 0.8× 368 1.1× 76 3.9k
Tohru Ishitani Japan 26 2.7k 1.1× 311 0.6× 408 0.9× 655 1.5× 543 1.6× 65 3.5k
Renée van Amerongen Netherlands 24 3.2k 1.2× 582 1.1× 711 1.5× 482 1.1× 336 1.0× 50 4.0k
Guang Hu United States 34 4.3k 1.7× 549 1.0× 473 1.0× 349 0.8× 724 2.1× 94 5.1k
Suat Özbek Germany 32 1.6k 0.6× 430 0.8× 471 1.0× 676 1.6× 252 0.7× 68 3.6k

Countries citing papers authored by Yun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Zhao. A scholar is included among the top collaborators of Yun Zhao 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 Yun Zhao. Yun Zhao 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.
Zhao, Yun, Yi Hong, Xiaohong Peng, et al.. (2024). Protocol for scarless genome editing of human pluripotent stem cell based on orthogonal selective reporters. STAR Protocols. 5(2). 103084–103084. 1 indexed citations
2.
Liu, Haiting, Yun Zhao, Hongcai Wang, & Qingling Liu. (2024). METTL3-mediated m6A methylation of SLC38A1 stimulates cervical cancer growth. Biochemical and Biophysical Research Communications. 716. 150039–150039. 2 indexed citations
3.
Han, Lili, Biao Liu, Yuang Wang, et al.. (2023). Gli1 marks a sentinel muscle stem cell population for muscle regeneration. Nature Communications. 14(1). 6993–6993. 12 indexed citations
4.
Zhu, Wencheng, Huiying Chu, Yajuan Zhang, et al.. (2023). Fructose-1,6-bisphosphatase 1 dephosphorylates IκBα and suppresses colorectal tumorigenesis. Cell Research. 33(3). 245–257. 26 indexed citations
5.
Chen, Shanshan, Haoran Wang, Bo Wu, et al.. (2023). Natural Coumarin Isomers with Dramatically Different AIE Properties: Mechanism and Application. ACS Central Science. 9(5). 883–891. 45 indexed citations
6.
Fang, Yi, Yulong Chen, Jinsong Li, et al.. (2023). Chromosome territory reorganization through artificial chromosome fusion is compatible with cell fate determination and mouse development. Cell Discovery. 9(1). 11–11. 8 indexed citations
7.
Gao, Yanhong, Rongliang Jia, Yun Zhao, et al.. (2023). Biocrust and sand burial together promote annual herb community assembly in an arid sandy desert area. Plant and Soil. 491(1-2). 645–663. 4 indexed citations
8.
Li, Meng, Lei Yang, Shan Lu, et al.. (2022). An integrated analysis of single-cell and bulk transcriptomics reveals EFNA1 as a novel prognostic biomarker for cervical cancer. Human Cell. 35(2). 705–720. 6 indexed citations
9.
Zhao, Yun, et al.. (2020). High efficiency CHO cell display-based antibody maturation. Scientific Reports. 10(1). 8102–8102. 9 indexed citations
10.
Ren, Zhiming, Yun Zhao, Weiwei Song, et al.. (2020). Transcriptome analysis of the Sepia pharaonis: Identification of low salinity stress-related information and microsatellite markers. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 35. 100705–100705. 6 indexed citations
11.
Feng, Xue, Tiantian Lu, Jinhui Li, et al.. (2019). The Tumor Suppressor Interferon Regulatory Factor 2 Binding Protein 2 Regulates Hippo Pathway in Liver Cancer by a Feedback Loop in Mice. Hepatology. 71(6). 1988–2004. 25 indexed citations
12.
Feng, Xue, Zuoyun Wang, Fei Wang, et al.. (2019). Dual function of VGLL 4 in muscle regeneration. The EMBO Journal. 38(17). e101051–e101051. 31 indexed citations
13.
He, Lingli, Liang Yuan, Yang Sun, et al.. (2019). Glucocorticoid Receptor Signaling Activates TEAD4 to Promote Breast Cancer Progression. Cancer Research. 79(17). 4399–4411. 82 indexed citations
14.
Zhang, Wenxiang, Jinjin Xu, Jinhui Li, et al.. (2018). The TEA domain family transcription factor TEAD4 represses murine adipogenesis by recruiting the cofactors VGLL4 and CtBP2 into a transcriptional complex. Journal of Biological Chemistry. 293(44). 17119–17134. 29 indexed citations
15.
Chen, Chuan, Jie Wang, Yun Zhao, et al.. (2018). Enhancers Improve the AID-Induced Hypermutation in Episomal Vector for Antibody Affinity Maturation in Mammalian Cell Display. Antibodies. 7(4). 42–42. 2 indexed citations
16.
Jia, Rongliang, et al.. (2018). Antagonistic effects of drought and sand burial enable the survival of the biocrust moss Bryum argenteum in an arid sandy desert. Biogeosciences. 15(4). 1161–1172. 12 indexed citations
17.
18.
Qian, Hao, Shi Jiao, Zhubing Shi, et al.. (2015). A non‐canonical role of the p97 complex in RIG ‐I antiviral signaling. The EMBO Journal. 34(23). 2903–2920. 42 indexed citations
19.
Chen, Chuan, et al.. (2015). Coupling recombinase‐mediated cassette exchange with somatic hypermutation for antibody affinity maturation in CHO cells. Biotechnology and Bioengineering. 113(1). 39–51. 16 indexed citations
20.
Zhao, Jian, Xiaoguang Zhang, Jing Ma, et al.. (2012). Clinical Performance Characteristics of the Cervista HPV HR Test Kit in Cervical Cancer Screening in China. Journal of Lower Genital Tract Disease. 16(4). 358–363. 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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