Yunping Dai

2.8k total citations
67 papers, 2.1k citations indexed

About

Yunping Dai is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yunping Dai has authored 67 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 45 papers in Genetics and 24 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yunping Dai's work include Animal Genetics and Reproduction (37 papers), Reproductive Biology and Fertility (24 papers) and CRISPR and Genetic Engineering (20 papers). Yunping Dai is often cited by papers focused on Animal Genetics and Reproduction (37 papers), Reproductive Biology and Fertility (24 papers) and CRISPR and Genetic Engineering (20 papers). Yunping Dai collaborates with scholars based in China, United States and Sweden. Yunping Dai's co-authors include András Dinnyés, Xiangzhong Yang, S. Jiang, Fangrong Ding, Ning Li, Xiuzhu Sun, Fuliang Du, Chikara Kubota, X.C. Tian and Fei Xue and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Yunping Dai

67 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunping Dai China 25 1.3k 937 786 295 275 67 2.1k
Francisco J. Díaz United States 25 672 0.5× 386 0.4× 957 1.2× 485 1.6× 222 0.8× 62 2.0k
François Piumi France 25 768 0.6× 710 0.8× 434 0.6× 192 0.7× 58 0.2× 54 1.9k
Liguo Yang China 25 612 0.5× 509 0.5× 377 0.5× 240 0.8× 44 0.2× 106 1.7k
Laurie A. Jaeger United States 26 573 0.4× 342 0.4× 276 0.4× 167 0.6× 256 0.9× 40 2.1k
Dong Il Jin South Korea 21 712 0.5× 298 0.3× 544 0.7× 215 0.7× 54 0.2× 88 1.4k
W. L. Flowers United States 23 345 0.3× 366 0.4× 321 0.4× 300 1.0× 208 0.8× 53 1.5k
R. Roy Spain 18 536 0.4× 377 0.4× 311 0.4× 380 1.3× 73 0.3× 33 1.3k
S. Ledda Italy 31 934 0.7× 522 0.6× 2.1k 2.6× 1.4k 4.7× 58 0.2× 136 2.8k
Yangqing Lu China 20 563 0.4× 469 0.5× 361 0.5× 266 0.9× 44 0.2× 98 1.1k
Jyh-Cherng Ju Taiwan 18 572 0.4× 279 0.3× 847 1.1× 439 1.5× 26 0.1× 73 1.3k

Countries citing papers authored by Yunping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yunping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunping Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yunping Dai. A scholar is included among the top collaborators of Yunping Dai 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 Yunping Dai. Yunping Dai 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.
Wang, Wenli, et al.. (2024). Unlocking the power of Lactoferrin: Exploring its role in early life and its preventive potential for adult chronic diseases. Food Research International. 182. 114143–114143. 13 indexed citations
2.
Wang, Ming, Fangrong Ding, Haiping Wang, et al.. (2023). Versatile generation of precise gene edits in bovines using SEGCPN. BMC Biology. 21(1). 226–226. 2 indexed citations
3.
Sun, Zhaolin, Ming Wang, Shiwen Han, et al.. (2018). Production of hypoallergenic milk from DNA-free beta-lactoglobulin (BLG) gene knockout cow using zinc-finger nucleases mRNA. Scientific Reports. 8(1). 15430–15430. 42 indexed citations
4.
Wei, Qingqing, Liang Zhong, Shaopeng Zhang, et al.. (2017). Bovine lineage specification revealed by single-cell gene expression analysis from zygote to blastocyst†. Biology of Reproduction. 97(1). 5–17. 53 indexed citations
5.
Wang, Ming, Zhaolin Sun, Yu Tian, et al.. (2017). Large-scale production of recombinant human lactoferrin from high-expression, marker-free transgenic cloned cows. Scientific Reports. 7(1). 10733–10733. 47 indexed citations
6.
Li, Qiuling, Wenping Hu, Jie Zhao, et al.. (2014). Supplementation transgenic cow’s milk containing recombinant human lactoferrin enhances systematic and intestinal immune responses in piglets. Molecular Biology Reports. 41(4). 2119–2128. 27 indexed citations
7.
Luo, Junjie, Zhiyuan Song, Dan Cui, et al.. (2014). Efficient Generation of Myostatin (MSTN) Biallelic Mutations in Cattle Using Zinc Finger Nucleases. PLoS ONE. 9(4). e95225–e95225. 71 indexed citations
8.
Wang, Ping, Zhiguo Wei, Bowen Yan, et al.. (2012). Establishment of a transgenic mouse model with liver-specific expression of secretory immunoglobulin D. Science China Life Sciences. 55(3). 219–227. 10 indexed citations
9.
Yang, Bin, Jianwu Wang, Bo Tang, et al.. (2011). Characterization of Bioactive Recombinant Human Lysozyme Expressed in Milk of Cloned Transgenic Cattle. PLoS ONE. 6(3). e17593–e17593. 100 indexed citations
10.
11.
Chen, Xiuping, Jianwu Wang, Rong Li, et al.. (2010). Effect of Microinjection of a Single IVF-Derived Blastomere on the Development of Cloned Embryos at the Eight-Cell Stage in Bovine. Cellular Reprogramming. 12(6). 719–727. 4 indexed citations
12.
Xue, Kai, Hengxi Wei, Li Chen, et al.. (2010). Synchronous behaviors of CBP and acetylations of lysine 18 and lysine 23 on histone H3 during porcine oocyte first meiotic division. Molecular Reproduction and Development. 77(7). 605–614. 8 indexed citations
13.
14.
Liu, Yan, Huiting Cui, Qinghe Li, et al.. (2008). Expression of EGFP and NPTII Protein Is Not Associated with Organ Abnormalities in Deceased Transgenic Cloned Cattle. Cloning and Stem Cells. 10(4). 421–428. 7 indexed citations
15.
He, Zuyong, Min Zheng, Meili Wang, et al.. (2008). Maternally transmitted milk containing recombinant human catalase provides protection against oxidation for mouse offspring during lactation. Free Radical Biology and Medicine. 45(8). 1135–1142. 24 indexed citations
16.
Lin, Li, Weizhuo Xu, Yunping Dai, & Ning Li. (2008). DNA methylation changes in cell line from β-lactoglobulin gene targeted fetus. Animal Reproduction Science. 112(3-4). 402–408. 5 indexed citations
17.
Yu, Zhengquan, Qingyong Meng, Huanhuan Yu, et al.. (2006). Expression and Bioactivity of Recombinant Human Lysozyme in the Milk of Transgenic Mice. Journal of Dairy Science. 89(8). 2911–2918. 32 indexed citations
18.
Zhang, Yunhai, Dengke Pan, Xiuzhu Sun, et al.. (2006). Production of porcine cloned transgenic embryos expressing green fluorescent protein by somatic cell nuclear transfer. Science in China Series C Life Sciences. 49(2). 164–71. 38 indexed citations
19.
Li, Shijie, Yanxin Li, Shuyang Yu, et al.. (2006). Expression of insulin‐like growth factors systems in cloned cattle dead within hours after birth. Molecular Reproduction and Development. 74(4). 397–402. 21 indexed citations
20.
Dinnyés, András, Yunping Dai, S. Jiang, & Xiangzhong Yang. (2000). High Developmental Rates of Vitrified Bovine Oocytes Following Parthenogenetic Activation, In Vitro Fertilization, and Somatic Cell Nuclear Transfer1. Biology of Reproduction. 63(2). 513–518. 275 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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