Yun Ma

637 total citations
2 papers, 14 citations indexed

About

Yun Ma is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Yun Ma has authored 2 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Ecology, Evolution, Behavior and Systematics and 1 paper in Agronomy and Crop Science. Recurrent topics in Yun Ma's work include Genetic and phenotypic traits in livestock (2 papers), Cancer-related molecular mechanisms research (1 paper) and Rangeland Management and Livestock Ecology (1 paper). Yun Ma is often cited by papers focused on Genetic and phenotypic traits in livestock (2 papers), Cancer-related molecular mechanisms research (1 paper) and Rangeland Management and Livestock Ecology (1 paper). Yun Ma collaborates with scholars based in China, Netherlands and Italy. Yun Ma's co-authors include Johannes A. Lenstra, Xiaoting Xia, Songmei Hu, Jianlin Han, Alessandro Achilli, Ningbo Chen, Hong Chen, Yongzhen Huang, Chuzhao Lei and Zhouyong Sun and has published in prestigious journals such as Heredity and BMC Biology.

In The Last Decade

Yun Ma

1 paper receiving 14 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yun Ma China	1	11	9	3	2	2	2	14
R. N. Clarke Ireland	3	7 0.6×	6 0.7×	4 1.3×			4	11
Caralyn Reisle Canada	2	8 0.7×	9 1.0×	7 2.3×			2	15
R. Pienaar United States	2	7 0.6×	5 0.6×	3 1.0×			4	10
Timothy Poterba United States	3	12 1.1×	5 0.6×	7 2.3×			4	19
Abigail Bunkum United Kingdom	2	7 0.6×	11 1.2×	8 2.7×			3	11
Antonio Ruiz United States	3	9 0.8×	6 0.7×	1 0.3×			6	17
Michael D. Nicholson United Kingdom	3	8 0.7×	10 1.1×	10 3.3×			4	22
Michela Franchi Italy	3	11 1.0×	4 0.4×	6 2.0×			4	15
Katie Farmer Philippines	2	8 0.7×	5 0.6×	5 1.7×			2	15

Countries citing papers authored by Yun Ma

Since Specialization

Citations

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

Fields of papers citing papers by Yun Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Ma. A scholar is included among the top collaborators of Yun 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 Yun Ma. Yun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Liu, Shuang, Xue Feng, Xiaoyu Luo, et al.. (2025). Admixture and selection offer insights for the conservation and breeding of Guyuan cattle. BMC Biology. 23(1). 128–128.

2.

Xia, Xiaoting, Alessandro Achilli, Johannes A. Lenstra, et al.. (2021). Mitochondrial genomes from modern and ancient Turano-Mongolian cattle reveal an ancient diversity of taurine maternal lineages in East Asia. Heredity. 126(6). 1000–1008. 14 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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