Yongdong Peng

582 total citations
27 papers, 448 citations indexed

About

Yongdong Peng is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Yongdong Peng has authored 27 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 11 papers in Cancer Research and 10 papers in Molecular Biology. Recurrent topics in Yongdong Peng's work include Cancer-related molecular mechanisms research (10 papers), Genetic and phenotypic traits in livestock (9 papers) and MicroRNA in disease regulation (5 papers). Yongdong Peng is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Genetic and phenotypic traits in livestock (9 papers) and MicroRNA in disease regulation (5 papers). Yongdong Peng collaborates with scholars based in China, Brazil and Pakistan. Yongdong Peng's co-authors include Siwen Jiang, Hong Xiang, Jian Peng, Huanan Li, Rong Zheng, Jin Chai, Chen Chen, Siwen Jiang, Chen Chen and Yinglin Peng and has published in prestigious journals such as International Journal of Molecular Sciences, The International Journal of Biochemistry & Cell Biology and BMC Genomics.

In The Last Decade

Yongdong Peng

23 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongdong Peng China 10 292 261 74 74 47 27 448
Shiduo Sun China 14 322 1.1× 218 0.8× 109 1.5× 59 0.8× 59 1.3× 36 525
Rimao Wu China 12 356 1.2× 295 1.1× 41 0.6× 49 0.7× 29 0.6× 18 477
Xiangyu Zhang China 13 321 1.1× 250 1.0× 21 0.3× 52 0.7× 22 0.5× 22 493
Xiaohong Guo China 12 264 0.9× 124 0.5× 56 0.8× 53 0.7× 14 0.3× 45 433
C. Y. Deng China 15 253 0.9× 136 0.5× 36 0.5× 249 3.4× 24 0.5× 50 555
Nuruliarizki Shinta Pandupuspitasari China 12 221 0.8× 43 0.2× 35 0.5× 46 0.6× 28 0.6× 35 389
Xinxin Zhang China 15 873 3.0× 362 1.4× 20 0.3× 71 1.0× 47 1.0× 28 1.0k
Jinsoo Ahn United States 11 215 0.7× 38 0.1× 79 1.1× 119 1.6× 40 0.9× 33 333
Jinyi Tong China 11 288 1.0× 187 0.7× 124 1.7× 117 1.6× 15 0.3× 27 706
Wuzi Dong China 13 260 0.9× 179 0.7× 19 0.3× 98 1.3× 14 0.3× 29 444

Countries citing papers authored by Yongdong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yongdong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongdong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yongdong Peng. A scholar is included among the top collaborators of Yongdong Peng 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 Yongdong Peng. Yongdong Peng 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.
Liu, Xiaotong, Yongdong Peng, Xinhao Zhang, et al.. (2025). Potential Genetic Markers Associated with Environmental Adaptability in Herbivorous Livestock. Animals. 15(5). 748–748. 3 indexed citations
2.
Li, Dekui, Xiaolong Hu, & Yongdong Peng. (2025). The classification method of donkey breeds based on SNPs data and machine learning. Frontiers in Genetics. 16. 1496246–1496246.
3.
Ren, Pengwei, Yongdong Peng, Yang Liu, et al.. (2025). Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds. BMC Genomics. 26(1). 734–734.
4.
5.
Khan, Muhammad Zahoor, Wenting Chen, Saima Naz, et al.. (2024). Determinant genetic markers of semen quality in livestock. Frontiers in Endocrinology. 15. 1456305–1456305. 11 indexed citations
6.
Peng, Yongdong, et al.. (2024). Identification and functional prediction of lncRNAs associated with intramuscular lipid deposition in Guangling donkeys. Frontiers in Veterinary Science. 11. 1410109–1410109. 4 indexed citations
7.
Chen, Yinghui, Muhammad Zahoor Khan, Xinrui Wang, et al.. (2024). Structural variations in livestock genomes and their associations with phenotypic traits: a review. Frontiers in Veterinary Science. 11. 1416220–1416220. 1 indexed citations
8.
Khan, Muhammad Zahoor, Wenting Chen, Xinrui Wang, et al.. (2024). A review of genetic resources and trends of omics applications in donkey research: focus on China. Frontiers in Veterinary Science. 11. 1366128–1366128. 8 indexed citations
9.
Wang, Xinrui, Yongdong Peng, Muhammad Zahoor Khan, et al.. (2024). Elucidating the Role of Transcriptomic Networks and DNA Methylation in Collagen Deposition of Dezhou Donkey Skin. Animals. 14(8). 1222–1222. 5 indexed citations
10.
Huang, Yu, et al.. (2023). Simulation Analysis of Torsion Beam Hydroforming Based on the Fluid-Solid Coupling Method. Chinese Journal of Mechanical Engineering. 36(1). 7 indexed citations
11.
Peng, Yongdong, Hong Li, Chuansheng Zhang, et al.. (2021). Chromosome‐level genome assembly of the Arctic fox (Vulpes lagopus) using PacBio sequencing and Hi‐C technology. Molecular Ecology Resources. 21(6). 2093–2108. 19 indexed citations
12.
Liu, Xiaohui, et al.. (2018). Hair follicles transcriptome profiles in Bashang long-tailed chickens with different plumage colors. Genes & Genomics. 41(11). 1357–1367. 14 indexed citations
13.
Peng, Yongdong, Chang Li, Yaqi Wang, et al.. (2018). Genome-wide differential expression of long noncoding RNAs and mRNAs in ovarian follicles of two different chicken breeds. Genomics. 111(6). 1395–1403. 26 indexed citations
14.
Xiang, Hong, et al.. (2017). The Emerging Role of Zfp217 in Adipogenesis. International Journal of Molecular Sciences. 18(7). 1367–1367. 19 indexed citations
15.
Wei, Xiajie, et al.. (2016). STAT5a promotes the transcription of mature mmu-miR-135a in 3T3-L1 cells by binding to both miR-135a-1 and miR-135a-2 promoter elements. The International Journal of Biochemistry & Cell Biology. 77(Pt A). 109–119. 12 indexed citations
16.
Peng, Yongdong, et al.. (2016). Differential expression of Agouti mRNA and its coding protein in viscera of goat with different coat color. Indian Journal of Animal Research. 1 indexed citations
17.
Peng, Yongdong, Huanan Li, Xianglong Li, et al.. (2016). MicroRNA-215 impairs adipocyte differentiation and co-represses FNDC3B and CTNNBIP1. The International Journal of Biochemistry & Cell Biology. 79. 104–112. 24 indexed citations
18.
Peng, Yongdong, et al.. (2014). MicroRNAs: Emerging roles in adipogenesis and obesity. Cellular Signalling. 26(9). 1888–1896. 118 indexed citations
19.
Chen, Chen, Yongdong Peng, Yinglin Peng, Jian Peng, & Siwen Jiang. (2014). miR-135a-5p inhibits 3T3-L1 adipogenesis through activation of canonical Wnt/β-catenin signaling. Journal of Molecular Endocrinology. 52(3). 311–320. 54 indexed citations
20.
Peng, Yongdong, Hong Xiang, Chen Chen, et al.. (2013). MiR-224 impairs adipocyte early differentiation and regulates fatty acid metabolism. The International Journal of Biochemistry & Cell Biology. 45(8). 1585–1593. 93 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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