Fayu Yang

735 total citations
38 papers, 564 citations indexed

About

Fayu Yang is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Fayu Yang has authored 38 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Animal Science and Zoology and 7 papers in Genetics. Recurrent topics in Fayu Yang's work include CRISPR and Genetic Engineering (17 papers), RNA and protein synthesis mechanisms (9 papers) and Animal Nutrition and Physiology (6 papers). Fayu Yang is often cited by papers focused on CRISPR and Genetic Engineering (17 papers), RNA and protein synthesis mechanisms (9 papers) and Animal Nutrition and Physiology (6 papers). Fayu Yang collaborates with scholars based in China, United States and India. Fayu Yang's co-authors include Feng Gu, Xianglian Ge, Jia Qu, Jiayong Zheng, Xuefang Tan, Zi‐Bing Jin, Ping Zhang, Yilan Zhang, Changbao Liu and Haihua Xie and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Fayu Yang

37 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fayu Yang China 13 436 100 75 63 39 38 564
Xianwei Zhang China 12 301 0.7× 178 1.8× 63 0.8× 74 1.2× 23 0.6× 24 441
Reidun Lillestøl United Kingdom 7 489 1.1× 156 1.6× 51 0.7× 27 0.4× 17 0.4× 8 606
Pierre Billon Canada 8 493 1.1× 120 1.2× 62 0.8× 10 0.2× 37 0.9× 17 557
Xidian Tang China 8 310 0.7× 99 1.0× 48 0.6× 6 0.1× 29 0.7× 11 431
Ziyao Fan China 10 173 0.4× 152 1.5× 29 0.4× 56 0.9× 7 0.2× 23 337
Brian L. Ellis United States 7 275 0.6× 207 2.1× 27 0.4× 13 0.2× 7 0.2× 7 451
Junsong Shi China 13 401 0.9× 279 2.8× 26 0.3× 74 1.2× 3 0.1× 48 597
Zongli Luo Canada 13 433 1.0× 63 0.6× 208 2.8× 109 1.7× 16 723
Xianrui Zheng China 12 193 0.4× 217 2.2× 48 0.6× 68 1.1× 45 471
Rimantė Žedaveinytė United States 5 511 1.2× 87 0.9× 81 1.1× 2 0.0× 69 1.8× 7 545

Countries citing papers authored by Fayu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fayu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fayu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fayu Yang. A scholar is included among the top collaborators of Fayu Yang 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 Fayu Yang. Fayu Yang 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.
Yang, Fayu, Saba R. Aliyari, Zixiang Zhu, et al.. (2025). CRISPR-Cas: a game-changer in vaccine development and the fight against viral infections. Trends in Microbiology. 33(6). 650–664. 1 indexed citations
2.
Yang, Fayu, et al.. (2024). Research and application of target detection algorithm for live operation in substation. Journal of Physics Conference Series. 2703(1). 12038–12038. 1 indexed citations
3.
Yang, Fayu, Xiaoyun Li, Saba R. Aliyari, et al.. (2024). A Nanobody-based TRIM-away targets the intracellular protein degradation of African swine fever virus. Virology. 600. 110283–110283. 2 indexed citations
4.
Wei, Nan, Lu Shang, Mi Wang, et al.. (2023). Engineered Staphylococcus auricularis Cas9 with high‐fidelity. The FASEB Journal. 37(8). e23060–e23060. 4 indexed citations
5.
Yang, Fayu, Hao Zhang, Mingchun Li, et al.. (2022). Green Fluorescent Protein Tagged Polycistronic Reporter System Reveals Functional Editing Characteristics of CRISPR-Cas. The CRISPR Journal. 5(2). 254–263. 1 indexed citations
6.
Zhang, Hao, Fayu Yang, Man Yang, et al.. (2022). An ultrasensitive, rapid and portable method for screening oseltamivir-resistant virus based on CRISPR/Cas12a combined with immunochromatographic strips. Acta Biochimica et Biophysica Sinica. 54(11). 1630–1636. 1 indexed citations
7.
Cheng, Peipei, Zhihao Zhang, Fayu Yang, et al.. (2021). FnCas12a/crRNA-Mediated Genome Editing in Eimeria tenella. Frontiers in Genetics. 12. 738746–738746. 10 indexed citations
8.
Li, Yunfeng, Yun Li, Ling Wang, et al.. (2020). MULTI-FLORET SPIKELET 2, a MYB Transcription Factor, Determines Spikelet Meristem Fate and Floral Organ Identity in Rice. PLANT PHYSIOLOGY. 184(2). 988–1003. 22 indexed citations
9.
Xie, Haihua, Xianglian Ge, Fayu Yang, et al.. (2020). High-fidelity SaCas9 identified by directional screening in human cells. PLoS Biology. 18(7). e3000747–e3000747. 44 indexed citations
10.
Zhang, Jiao, Fayu Yang, Yunpeng Yang, Yu Jiang, & Yi‐Xin Huo. (2019). Optimizing a CRISPR-Cpf1-based genome engineering system for Corynebacterium glutamicum. Microbial Cell Factories. 18(1). 60–60. 35 indexed citations
11.
Yang, Fayu, Xiaoxue He, Haihua Xie, et al.. (2019). Efficient cleavage resolves PAM preferences of CRISPR-Cas in human cells. SHILAP Revista de lepidopterología. 8(2). 44–50. 25 indexed citations
12.
Yang, Tao, et al.. (2019). Comparative studies on testis, epididymis and serum hormone concentrations in foxes, and hybrids during the pre-breeding period. Animal Reproduction Science. 203. 61–67. 4 indexed citations
13.
Li, Fanfan, Jie Liu, Fayu Yang, et al.. (2018). A Single Multiplex crRNA Array for FnCpf1-Mediated Human Genome Editing. Molecular Therapy. 26(8). 2070–2076. 17 indexed citations
14.
Li, Lin, Yeqing Liu, Xiaoyu Liu, et al.. (2018). Engineering the Direct Repeat Sequence of crRNA for Optimization of FnCpf1-Mediated Genome Editing in Human Cells. Molecular Therapy. 26(11). 2650–2657. 21 indexed citations
15.
Cheng, Lulu, Fayu Yang, Xinping Yu, et al.. (2016). Novel mutations in PDE6B causing human retinitis pigmentosa. International Journal of Ophthalmology. 9(8). 1094–9. 12 indexed citations
16.
Ge, Xianglian, Haitao Xi, Fayu Yang, et al.. (2016). CRISPR/Cas9-AAV Mediated Knock-in at NRL Locus in Human Embryonic Stem Cells. Molecular Therapy — Nucleic Acids. 5(11). e393–e393. 8 indexed citations
17.
Wu, Xuezhuang, et al.. (2015). Copper bioavailability, blood parameters, and nutrient balance in mink1. Journal of Animal Science. 93(1). 176–184. 18 indexed citations
18.
Zhang, Yilan, Xianglian Ge, Fayu Yang, et al.. (2014). Comparison of non-canonical PAMs for CRISPR/Cas9-mediated DNA cleavage in human cells. Scientific Reports. 4(1). 5405–5405. 165 indexed citations
19.
Xu, Chang, et al.. (2012). Effects of different dietary protein levels and DL‐methionine supplementation on hair growth and pelt quality in mink (Neovision vision). Journal of Animal Physiology and Animal Nutrition. 97(6). 1036–1042. 12 indexed citations
20.
Wu, Qin, et al.. (2011). Effects of diets with different protein anddl‐methionine levels on the growth performance and N‐balance of growing minks. Journal of Animal Physiology and Animal Nutrition. 96(3). 436–441. 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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