Peipei Ma

1.6k total citations
55 papers, 1.1k citations indexed

About

Peipei Ma is a scholar working on Genetics, Plant Science and Cancer Research. According to data from OpenAlex, Peipei Ma has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 21 papers in Plant Science and 21 papers in Cancer Research. Recurrent topics in Peipei Ma's work include Genetic Mapping and Diversity in Plants and Animals (39 papers), Genetic and phenotypic traits in livestock (37 papers) and Cancer-related molecular mechanisms research (20 papers). Peipei Ma is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (39 papers), Genetic and phenotypic traits in livestock (37 papers) and Cancer-related molecular mechanisms research (20 papers). Peipei Ma collaborates with scholars based in China, Denmark and Mexico. Peipei Ma's co-authors include Yuchun Pan, Qishan Wang, Mogens Sandø Lund, Guosheng Su, Ying Yu, Xiangdong Ding, Rasmus Froberg Brøndum, Qin Zhang, Li Jiang and Dongxiao Sun and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Peipei Ma

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipei Ma China 19 882 336 286 171 155 55 1.1k
Christine A. Ford New Zealand 7 1.2k 1.4× 329 1.0× 249 0.9× 241 1.4× 145 0.9× 8 1.4k
B. E. Harrison Australia 17 801 0.9× 151 0.4× 193 0.7× 165 1.0× 284 1.8× 24 1.0k
Zhenshuang Tang China 8 556 0.6× 377 1.1× 141 0.5× 82 0.5× 73 0.5× 13 900
Myriam Mni Belgium 7 1.5k 1.7× 486 1.4× 247 0.9× 229 1.3× 152 1.0× 9 1.7k
Christy J. Vander Jagt Australia 16 815 0.9× 179 0.5× 259 0.9× 156 0.9× 115 0.7× 28 941
Joanna Szyda Poland 19 956 1.1× 268 0.8× 191 0.7× 304 1.8× 203 1.3× 86 1.2k
Dajeong Lim South Korea 24 1.0k 1.2× 135 0.4× 425 1.5× 150 0.9× 362 2.3× 129 1.5k
Hanne Gro Olsen Norway 18 799 0.9× 148 0.4× 193 0.7× 346 2.0× 82 0.5× 25 956
Gregório Miguel Ferreira de Camargo Brazil 19 1.0k 1.1× 124 0.4× 254 0.9× 436 2.5× 252 1.6× 91 1.2k

Countries citing papers authored by Peipei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Ma. A scholar is included among the top collaborators of Peipei 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 Peipei Ma. Peipei 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.
Xu, Yufang, Lujie Liu, Jie Zhou, et al.. (2025). Enhancing maize resistance to Fusarium verticillioides through modulation of cell wall structure and components by ZmXYXT2. Journal of Advanced Research. 78. 111–128. 2 indexed citations
2.
Wang, Shiyi, Yingliang Wei, Dengying Liu, et al.. (2025). Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species. Frontiers in Genetics. 16. 1576248–1576248.
3.
Liu, Xinglu, Zheng Zhang, Yanfei Zhang, et al.. (2024). The Residual Activity of Fatty Acyl‐CoA Reductase Underlies Thermo‐Sensitive Genic Male Sterility in Rice. Plant Cell & Environment. 48(2). 1273–1285. 2 indexed citations
4.
Ma, Peipei, Zhirui Zhang, Tao Li, et al.. (2023). Genetic variation in ZmWAX2 confers maize resistance to Fusarium verticillioides. Plant Biotechnology Journal. 21(9). 1812–1826. 19 indexed citations
5.
Liu, Dengying, Zhong Xu, Wei Zhao, et al.. (2022). Genetic parameters and genome-wide association for milk production traits and somatic cell score in different lactation stages of Shanghai Holstein population. Frontiers in Genetics. 13. 940650–940650. 7 indexed citations
6.
Zhao, Qingbo, Eugenio López‐Cortegano, Zhe Zhang, et al.. (2021). Conservation Priorities Analysis of Chinese Indigenous Pig Breeds in the Taihu Lake Region. Frontiers in Genetics. 12. 558873–558873. 19 indexed citations
7.
Zhao, Qingbo, Zhong Xu, Zhe Zhang, et al.. (2020). Haplotype Block Analysis Reveals Candidate Genes and QTLs for Meat Quality and Disease Resistance in Chinese Jiangquhai Pig Breed. Frontiers in Genetics. 11. 752–752. 10 indexed citations
8.
Xu, Zhong, Hao Sun, Zhe Zhang, et al.. (2019). Assessment of Autozygosity Derived From Runs of Homozygosity in Jinhua Pigs Disclosed by Sequencing Data. Frontiers in Genetics. 10. 274–274. 51 indexed citations
9.
Zhao, Qingbo, et al.. (2019). Genetic parameter estimates for body conformation traits using composite index, principal component, and factor analysis. Journal of Dairy Science. 102(6). 5219–5229. 28 indexed citations
10.
Wu, Yabin, Jingyang Gao, Zijian Zhou, et al.. (2018). Field Inoculation and Classification of Maize Ear Rot Caused by Fusarium verticillioides. BIO-PROTOCOL. 8(23). e3099–e3099. 11 indexed citations
11.
Zhang, Qianqian, Hao Sun, Zhengcao Li, et al.. (2018). Genomic analysis reveals genes affecting distinct phenotypes among different Chinese and western pig breeds. Scientific Reports. 8(1). 13352–13352. 33 indexed citations
12.
Ma, Peipei, et al.. (2018). Exploring the Genetic Correlation Between Growth and Immunity Based on Summary Statistics of Genome-Wide Association Studies. Frontiers in Genetics. 9. 393–393. 10 indexed citations
13.
Sun, Hao, Zhe Zhang, Zhong Xu, et al.. (2018). Application of partial least squares in exploring the genome selection signatures between populations. Heredity. 122(3). 288–293. 2 indexed citations
15.
Liu, X., et al.. (2012). Novel single nucleotide polymorphisms of the bovine methyltransferase 3b gene and their association with meat quality traits in beef cattle. Genetics and Molecular Research. 11(3). 2569–2577. 9 indexed citations
16.
Fu, Weixuan, Chonglong Wang, Xiangdong Ding, et al.. (2012). Genome-wide association analyses of the 15th QTL-MAS workshop data using mixed model based single locus regression analysis. BMC Proceedings. 6(S2). S5–S5. 1 indexed citations
17.
Su, Guosheng, Rasmus Froberg Brøndum, Peipei Ma, et al.. (2012). Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations. Journal of Dairy Science. 95(8). 4657–4665. 108 indexed citations
18.
Zhang, Zhe, Xiangdong Ding, Weixuan Fu, et al.. (2012). Application of imputation methods to genomic selection in Chinese Holstein cattle. Journal of Animal Science and Biotechnology. 3(1). 6–6. 11 indexed citations
19.
Brøndum, Rasmus Froberg, et al.. (2011). Genomic prediction using high-density SNP markers in Nordic Holstein and Red. Bulletin - International Bull Evaluation Service/Interbull bulletin. 4 indexed citations
20.
Jiang, Li, Jianfeng Liu, Dongxiao Sun, et al.. (2010). Genome Wide Association Studies for Milk Production Traits in Chinese Holstein Population. PLoS ONE. 5(10). e13661–e13661. 217 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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