Yu Yao

4.4k total citations · 1 hit paper
71 papers, 2.4k citations indexed

About

Yu Yao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yu Yao has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Cancer Research and 16 papers in Genetics. Recurrent topics in Yu Yao's work include RNA modifications and cancer (25 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related molecular mechanisms research (14 papers). Yu Yao is often cited by papers focused on RNA modifications and cancer (25 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related molecular mechanisms research (14 papers). Yu Yao collaborates with scholars based in United States, China and United Kingdom. Yu Yao's co-authors include Mitchell J. Weiss, Ross C. Hardison, Gerd A. Blobel, Phillip A. Doerfler, David Pellman, Lili Sun, Mitchell L. Leibowitz, Cheng‐Zhong Zhang, Jim R. Hughes and Stamatis Papathanasiou and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yu Yao

66 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chromothripsis as an on-target consequence of CRISPR–Cas9 genome editing

2021 347 citations Phillip A. Doerfler, Yu Yao et al. Nature Genetics profile →

Peers

Yu Yao

MB

CR

GENET

HEMAT

GENET

Giovanna Marziali Italy

D. Wade Clapp United States

Akinori Kanai Japan

Marc Lipinski France

I-hsin Su Singapore

Carlos‐Filipe Pereira Portugal

Irina Golovleva Sweden

Michael D. Milsom Germany

Andrew Wilber United States

Rodrigo Jácamo United States

Giovanna Marziali Italy

Yu Yao

1.4k ×0.8

MB

565 ×0.9

CR

278 ×0.8

GENET

234 ×0.7

HEMAT

126 ×0.4

GENET

Citations per year, relative to Yu Yao Yu Yao (= 1×) peers Giovanna Marziali

Countries citing papers authored by Yu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Yu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Yao

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

All Works

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20 of 20 papers shown

1.

Wuichet, Kristin, Sara R. Rashkin, Yash Pershad, et al.. (2025). Increased prevalence of clonal hematopoiesis in children with sickle cell disease. Blood. 147(13). 1447–1455.

2.

Feng, Ruopeng, Manan Shah, Yu Yao, et al.. (2025). Removal of promoter CpG methylation by epigenome editing reverses HBG silencing. Nature Communications. 16(1). 6919–6919.

3.

You, Weiming, Xiaoqiang Zheng, Jin Yan, et al.. (2025). Dual-targeted N-PMIplus@CA nanoplatform for concurrent MDM2 and β-catenin inhibition in p53 wild-type lung adenocarcinoma. Materials Today Bio. 34. 102136–102136. 1 indexed citations

4.

Yao, Yu, et al.. (2024). Enhancing power communication network security: A comprehensive cyber risk visual analytics framework with real-time risk assessment. Sustainable Energy Grids and Networks. 38. 101325–101325. 1 indexed citations

5.

Bhoopalan, Senthil Velan, Thiyagaraj Mayuranathan, Kalin Mayberry, et al.. (2024). Preclinical development of lentiviral vector gene therapy for Diamond-Blackfan anemia syndrome. Molecular Therapy. 33(7). 3086–3100.

6.

Christakopoulos, Georgios E., Alfonso G. Fernandez, Yu Yao, et al.. (2023). Loss of miR-144/451 alleviates β-thalassemia by stimulating ULK1-mediated autophagy of free α-globin. Blood. 142(10). 918–932. 12 indexed citations

7.

Ma, Fuli, Shanqi Zhang, Yu Yao, et al.. (2023). Jujube witches’ broom phytoplasmas inhibit ZjBRC1-mediated abscisic acid metabolism to induce shoot proliferation. Horticulture Research. 10(9). uhad148–uhad148. 4 indexed citations

8.

Feng, Ruopeng, Thiyagaraj Mayuranathan, Peng Huang, et al.. (2022). Activation of γ-globin expression by hypoxia-inducible factor 1α. Nature. 610(7933). 783–790. 37 indexed citations

9.

Sherpa, Dawafuti, Judith Mueller, Özge Karayel, et al.. (2022). Modular UBE2H-CTLH E2-E3 complexes regulate erythroid maturation. eLife. 11. 15 indexed citations

10.

Zheng, Haoran, Aimin Jiang, Na Liu, et al.. (2022). The Efficacy and Safety of Anlotinib in Extensive-Stage Small Cell Lung Cancer: A Multicenter Real-World Study. Cancer Management and Research. Volume 14. 2273–2287. 11 indexed citations

11.

Yao, Yu, et al.. (2022). Analysis of mRNA and circRNA Expression Profiles of Bovine Monocyte-Derived Macrophages Infected With Mycobacterium avium subsp. paratuberculosis. Frontiers in Microbiology. 12. 796922–796922. 6 indexed citations

12.

Zhang, Xiaoyu, et al.. (2022). The preliminary study of exosomes derived from thymosin beta 4-treated adipose-derived stem cells in fat grafting. Genes & Genomics. 45(4). 413–427. 3 indexed citations

13.

Cheng, Li, Yichao Li, Qian Qi, et al.. (2021). Single-nucleotide-level mapping of DNA regulatory elements that control fetal hemoglobin expression. Nature Genetics. 53(6). 869–880. 36 indexed citations

14.

Gao, Xiang, Yu Yao, Gaoming Wang, et al.. (2021). Long Noncoding RNA Nuclear Paraspeckle Assembly Transcript 1 Promotes Progression and Angiogenesis of Esophageal Squamous Cell Carcinoma Through miR-590-3p/MDM2 Axis. Frontiers in Oncology. 10. 618930–618930. 13 indexed citations

15.

Xu, Peng, Lance E. Palmer, Christophe Lechauve, et al.. (2019). Regulation of gene expression by miR-144/451 during mouse erythropoiesis. Blood. 133(23). 2518–2528. 36 indexed citations

16.

Luo, Jing, Zhongqiu Wang, Jianfeng Huang, et al.. (2017). HOXC13 promotes proliferation of esophageal squamous cell carcinoma via repressing transcription ofCASP3. Cancer Science. 109(2). 317–329. 23 indexed citations

17.

Nguyen, Anthony T., Miguel A. Prado, Paul J. Schmidt, et al.. (2017). UBE2O remodels the proteome during terminal erythroid differentiation. Science. 357(6350). 118 indexed citations

18.

Paralkar, Vikram R., Tejaswini Mishra, Jing Luan, et al.. (2014). Lineage and species-specific long noncoding RNAs during erythro-megakaryocytic development. Blood. 123(12). 1927–1937. 133 indexed citations

19.

Meng, Ronghua, Yuhuan Wang, Yu Yao, et al.. (2012). SLC35D3 delivery from megakaryocyte early endosomes is required for platelet dense granule biogenesis and is differentially defective in Hermansky-Pudlak syndrome models. Blood. 120(2). 404–414. 43 indexed citations

20.

Yu, Duonan, Camila O. dos Santos, Guowei Zhao, et al.. (2010). miR-451 protects against erythroid oxidant stress by repressing 14-3-3ζ. Genes & Development. 24(15). 1620–1633. 189 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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