Yuehui Ma

1.7k total citations
106 papers, 1.3k citations indexed

About

Yuehui Ma is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yuehui Ma has authored 106 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 45 papers in Genetics and 27 papers in Cancer Research. Recurrent topics in Yuehui Ma's work include Genetic and phenotypic traits in livestock (28 papers), Mesenchymal stem cell research (20 papers) and Cancer-related molecular mechanisms research (16 papers). Yuehui Ma is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Mesenchymal stem cell research (20 papers) and Cancer-related molecular mechanisms research (16 papers). Yuehui Ma collaborates with scholars based in China, Kenya and Czechia. Yuehui Ma's co-authors include Weijun Guan, Weijun Guan, Chunyu Bai, Yuhua Gao, Xiangchen Li, Qianjun Zhao, Yabin Pu, Changqing Liu, Kejian Ding and Wenyu Gao and has published in prestigious journals such as Science, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Yuehui Ma

101 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuehui Ma China 21 639 363 255 233 204 106 1.3k
Rodrigo A. Somoza United States 15 868 1.4× 53 0.1× 279 1.1× 112 0.5× 173 0.8× 34 1.4k
Guang Li China 17 563 0.9× 149 0.4× 20 0.1× 79 0.3× 91 0.4× 72 1.3k
Hossein Ghanbarian Iran 26 1.2k 1.9× 125 0.3× 196 0.8× 673 2.9× 279 1.4× 72 2.0k
Suresh Ramakrishna South Korea 32 2.5k 3.8× 485 1.3× 41 0.2× 257 1.1× 128 0.6× 124 3.4k
Maria Margarida Diogo Portugal 30 1.8k 2.8× 268 0.7× 198 0.8× 69 0.3× 430 2.1× 71 2.6k
Jae Ho Lee South Korea 24 1.9k 2.9× 463 1.3× 262 1.0× 123 0.5× 505 2.5× 67 3.0k
Yongxin Ma China 21 875 1.4× 456 1.3× 24 0.1× 316 1.4× 43 0.2× 108 1.7k
Sha Jin United States 24 761 1.2× 174 0.5× 28 0.1× 70 0.3× 454 2.2× 65 1.9k
Vijay Krishna Raghunathan United States 28 642 1.0× 63 0.2× 44 0.2× 76 0.3× 159 0.8× 84 2.2k
Guido Veit Canada 25 923 1.4× 411 1.1× 133 0.5× 82 0.4× 172 0.8× 35 2.6k

Countries citing papers authored by Yuehui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yuehui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuehui Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yuehui Ma. A scholar is included among the top collaborators of Yuehui Ma 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 Yuehui Ma. Yuehui Ma 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, Xuexue, Jianfei Pan, Yanli Zhang, et al.. (2025). Selection at the GSDMC locus in horses and its implications for human mobility. Science. 389(6763). 925–930. 1 indexed citations
2.
Wang, Liqing, Xiaoyi Wang, Yuehui Ma, & Hengjun Zhou. (2025). Conventional type 1 dendritic cells in the lymph nodes aggravate neuroinflammation after spinal cord injury by promoting CD8+ T cell expansion. Molecular Medicine. 31(1). 37–37. 1 indexed citations
3.
Yang, Min, Yingying Li, Qianqian Liang, et al.. (2025). Identification of lncRNAs involved in the hair follicle cycle transition of cashmere goats in response to photoperiod change. BMC Genomics. 26(1). 487–487.
4.
Abied, Adam, Farhad Bordbar, Yabin Pu, et al.. (2020). Genomic Diversity, Population Structure, and Signature of Selection in Five Chinese Native Sheep Breeds Adapted to Extreme Environments. Genes. 11(5). 494–494. 32 indexed citations
5.
Ling, Yinghui, Qi Zheng, Yunsheng Li, et al.. (2019). Identification of lncRNAs by RNA Sequencing Analysis During in Vivo Pre-Implantation Developmental Transformation in the Goat. Frontiers in Genetics. 10. 1040–1040. 15 indexed citations
6.
Pei, Li, Xiaofang Wang, Wenyu Gao, et al.. (2018). Electrochemical method for the quantitative determination of Escherichia coli based on gold functionalized FTO substrate. The Analyst. 143(6). 1462–1467. 12 indexed citations
7.
Yang, Min, Kunzhe Dong, Xiaofei Chen, et al.. (2017). Skin transcriptome reveals the intrinsic molecular mechanisms underlying hair follicle cycling in Cashmere goats under natural and shortened photoperiod conditions. Scientific Reports. 7(1). 13502–13502. 27 indexed citations
8.
Hou, Lingling, Chunyu Bai, Dapeng Jin, et al.. (2011). Isolation and Biological Characteristics of Chicken Adipose-Derived Progenitor Cells. DNA and Cell Biology. 30(7). 453–460. 23 indexed citations
9.
Li, Fanghua, et al.. (2010). Isolation, culture, identification and muscle differentiation of skeletal muscle satellite cells in Beijing fatty chicken.. Zhongguo nongye Kexue. 43(22). 4725–4731. 4 indexed citations
10.
Yan, Yan, Pingqing Wang, Di Ran, et al.. (2010). Steroid 21-hydroxylase gene (CYP21) as a candidate gene for prolificacy of Jining Grey goat.. Journal of Pharmaceutical and Biomedical Sciences. 18(5). 917–924. 1 indexed citations
11.
Ran, Di, et al.. (2009). Polymorphism of gonadotropin releasing hormaone receptor (GnRHR) gene and its relationship with prolificacy of lining grey goat.. Journal of Pharmaceutical and Biomedical Sciences. 17(2). 218–223. 3 indexed citations
12.
Sun, Wei, et al.. (2009). Analysis on Genetic Diversity and Isolation Mechanism by Distance of Some Different Ecological Type Sheep Breeds in Mongolia Group Using Structural Loci. Zhongguo nongye Kexue. 42(4). 1394–1405. 1 indexed citations
13.
Zhang, Lin, Xuewei Li, Fang Li, et al.. (2009). Linkage Analysis between Microsatellite Locus LSCV043 and FecB Gene in Small Tail Han Sheep. Journal of Pharmaceutical and Biomedical Sciences. 17(4). 621–628. 1 indexed citations
14.
Zhang, Baoyun, et al.. (2009). Polymorphic and linkage analysis of microsatellite OarJL36 and FecB gene in sheep.. Zhongguo nongye Kexue. 42(6). 2133–2141.
15.
Ma, Yuehui. (2008). Mitochondrial DNA Genetic Diversity of 10 Goat Breeds. Journal of Pharmaceutical and Biomedical Sciences. 1 indexed citations
16.
Ma, Yuehui. (2008). Relationship of Mitochondrial Permeability Transition with Cell Apoptosis. China Animal Husbandry & Veterinary Medicine.
17.
He, Xiaohong, et al.. (2007). Study on mtDNA genetic diversity and phylogeny evolution of 5 indigenous sheep populations in southwest China. 219–224. 2 indexed citations
18.
Li, Huifang, Bichun Li, Yuehui Ma, et al.. (2007). [Molecular genetic diversity of Fujian domestic duck breeds].. PubMed. 18(2). 463–6. 4 indexed citations
19.
Wang, Zhiguo & Yuehui Ma. (2006). Analysis of Genetic Diversity among Seven Goat Population in the Middle and Lower Yangtse River Valley and East and South Mainland near the Sea. 3 indexed citations
20.
Zhang, Ailing, Yuehui Ma, Chen Xiumei, & Hong Chen. (2005). Effect of the different numbers of microsatellite loci on the accuracy of Nei's standard genetic distance estimation. Xumu shouyi xuebao. 36(5). 431–433.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026