Eryao Wang

589 total citations
39 papers, 297 citations indexed

About

Eryao Wang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Eryao Wang has authored 39 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 28 papers in Genetics and 15 papers in Plant Science. Recurrent topics in Eryao Wang's work include Genomic variations and chromosomal abnormalities (17 papers), Chromosomal and Genetic Variations (15 papers) and Genomics and Chromatin Dynamics (11 papers). Eryao Wang is often cited by papers focused on Genomic variations and chromosomal abnormalities (17 papers), Chromosomal and Genetic Variations (15 papers) and Genomics and Chromatin Dynamics (11 papers). Eryao Wang collaborates with scholars based in China, India and United Kingdom. Eryao Wang's co-authors include Yongzhen Huang, Zijing Zhang, Shijie Lyu, Chuzhao Lei, Xianwei Wang, Xian Liu, Peng Yang, Qi Zhou, Zhiming Li and Chunli Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and International Journal of Biological Macromolecules.

In The Last Decade

Eryao Wang

37 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eryao Wang China 10 198 158 68 58 45 39 297
Florent Woloszyn France 10 326 1.6× 101 0.6× 89 1.3× 142 2.4× 31 0.7× 13 431
Jianning He China 12 153 0.8× 137 0.9× 157 2.3× 44 0.8× 13 0.3× 33 351
Zhuang Xie China 13 209 1.1× 236 1.5× 103 1.5× 89 1.5× 25 0.6× 36 455
Yingting He China 11 107 0.5× 116 0.7× 86 1.3× 65 1.1× 10 0.2× 21 256
Yuyun Xing China 10 317 1.6× 113 0.7× 105 1.5× 26 0.4× 33 0.7× 29 428
Zhuangbiao Zhang China 10 132 0.7× 86 0.5× 93 1.4× 30 0.5× 8 0.2× 17 214
Yangyang Bai China 12 134 0.7× 110 0.7× 54 0.8× 30 0.5× 78 1.7× 34 297
Jilong Han China 13 241 1.2× 120 0.8× 109 1.6× 12 0.2× 22 0.5× 32 367
Jiaman Zhang China 8 86 0.4× 140 0.9× 41 0.6× 13 0.2× 41 0.9× 23 222
Shijie Lyu China 10 134 0.7× 76 0.5× 45 0.7× 13 0.2× 30 0.7× 28 222

Countries citing papers authored by Eryao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Eryao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eryao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Eryao Wang. A scholar is included among the top collaborators of Eryao Wang 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 Eryao Wang. Eryao Wang 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.
Li, Xinmiao, Zhihao Zhang, Xiangnan Wang, et al.. (2024). In Vitro Analysis of LPS-Induced miRNA Differences in Bovine Endometrial Cells and Study of Related Pathways. Animals. 14(23). 3367–3367. 1 indexed citations
2.
Liu, Zhe, et al.. (2024). The Identification of Goat KCNJ15 Gene Copy Number Variation and Its Association with Growth Traits. Genes. 15(2). 250–250. 1 indexed citations
3.
Wang, Xianwei, Yingwei Guo, Zijing Zhang, et al.. (2023). Genetic diversity and signatures of selection in BoHuai goat revealed by whole-genome sequencing. BMC Genomics. 24(1). 116–116. 20 indexed citations
4.
5.
Xu, Zijie, Xianwei Wang, Dahui Wang, et al.. (2022). Association between the copy number variation ofCCSER1gene and growth traits in ChineseCapra hircus(goat) populations. Animal Biotechnology. 34(4). 1377–1383. 12 indexed citations
6.
Lyu, Shijie, et al.. (2022). Bta-miR-200b promotes endometrial epithelial cell apoptosis by targeting MYB in cattle. Theriogenology. 195. 77–84. 4 indexed citations
7.
Li, Zheng, Jiawei Xu, Xian Liu, et al.. (2022). The copy number variation of DMBT1 gene effects body traits in two Chinese cattle breeds. 3 Biotech. 12(4). 93–93. 4 indexed citations
8.
Chen, Fuying, Zijing Zhang, Xinglei Qi, et al.. (2022). miRNA profiling in intrauterine exosomes of pregnant cattle on day 7. Frontiers in Veterinary Science. 9. 1078394–1078394. 4 indexed citations
9.
Lyu, Shijie, Danny Arends, Annett Weigend, et al.. (2022). High-density genotyping reveals candidate genomic regions for chicken body size in breeds of Asian origin. Poultry Science. 102(1). 102303–102303. 11 indexed citations
10.
Peng, Wei, Zijing Zhang, Xian Liu, et al.. (2022). The relationship between MUC19 copy number variation and growth traits of Chinese cattle. Gene. 851. 147010–147010. 2 indexed citations
11.
Zhang, Jiaqiang, Zijing Zhang, Xian Liu, et al.. (2022). Copy number variation of WBP1L gene revealed its association with growth traits across Chinese cattle populations. The Journal of Agricultural Science. 160(6). 528–534. 2 indexed citations
12.
Hu, Linyong, Junjian Yu, R. Stephanie Huang, et al.. (2022). Copy number variation of the CCDC39 gene is associated with growth traits in Chinese cattle. Veterinary Medicine and Science. 8(2). 917–924. 6 indexed citations
13.
Zhang, Zijing, Jiawei Xu, Shijie Lyu, et al.. (2021). Whole-Genome DNA Methylation Dynamics of Sheep Preimplantation Embryo Investigated by Single-Cell DNA Methylome Sequencing. Frontiers in Genetics. 12. 753144–753144. 11 indexed citations
14.
Zhang, Zijing, Xian Liu, Jungang Li, et al.. (2021). The relationship between MFN1 copy number variation and growth traits of beef cattle. Gene. 811. 146071–146071. 7 indexed citations
15.
Xu, Zijie, Xianwei Wang, Zijing Zhang, et al.. (2020). Copy number variation of CADM2 gene revealed its association with growth traits across Chinese Capra hircus (goat) populations. Gene. 741. 144519–144519. 22 indexed citations
16.
Zhang, Danyang, Jiawei Xu, Peng Yang, et al.. (2020). Genetic variant of <i>SPARC</i> gene and its association with growth traits in Chinese cattle. Archives animal breeding/Archiv für Tierzucht. 63(1). 31–37. 5 indexed citations
17.
Lyu, Shijie, Peng Yang, Yanyong Liu, et al.. (2020). Genetic effects of MOGAT1 gene SNP in growth traits of Chinese cattle. Gene. 769. 145201–145201. 17 indexed citations
18.
Li, Wanli, et al.. (2014). Research development on zinc finger nucleases and its application.. He'nan nongye kexue. 43(8). 1–9. 1 indexed citations
19.
Liu, Zichuan, Haifeng Wan, Eryao Wang, et al.. (2012). Induced Pluripotent Stem–Induced Cells Show Better Constitutive Heterochromatin Remodeling and Developmental Potential After Nuclear Transfer Than Their Parental Cells. Stem Cells and Development. 21(16). 3001–3009. 9 indexed citations
20.
Yu, Yang, Chenhui Ding, Eryao Wang, et al.. (2007). Piezo-assisted nuclear transfer affects cloning efficiency and may cause apoptosis. Reproduction. 133(5). 947–954. 54 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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