Yang-Jun Wen

1.2k total citations · 1 hit paper
21 papers, 810 citations indexed

About

Yang-Jun Wen is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Yang-Jun Wen has authored 21 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 13 papers in Plant Science and 5 papers in Molecular Biology. Recurrent topics in Yang-Jun Wen's work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Genetic and phenotypic traits in livestock (14 papers) and Genetics and Plant Breeding (11 papers). Yang-Jun Wen is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (18 papers), Genetic and phenotypic traits in livestock (14 papers) and Genetics and Plant Breeding (11 papers). Yang-Jun Wen collaborates with scholars based in China, United Kingdom and United States. Yang-Jun Wen's co-authors include Yuan‐Ming Zhang, Wenlong Ren, Jim M. Dunwell, Jin Zhang, Jianying Feng, Shibo Wang, Yawen Zhang, Ling Zhou, Shizhong Xu and Bo Huang and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Journal of Animal Science.

In The Last Decade

Yang-Jun Wen

19 papers receiving 803 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology

2016 344 citations Shibo Wang, Jianying Feng et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang-Jun Wen China	9	656	427	101	53	27	21	810
Jianying Feng China	11	564 0.9×	323 0.8×	83 0.8×	35 0.7×	23 0.9×	23	683
Cox Lwaka Tamba Kenya	4	411 0.6×	236 0.6×	55 0.5×	44 0.8×	15 0.6×	7	497
Pradeep Ruperao India	12	705 1.1×	282 0.7×	234 2.3×	48 0.9×	18 0.7×	26	843
Merlyn S. Mendioro Philippines	20	1.2k 1.8×	352 0.8×	110 1.1×	42 0.8×	14 0.5×	36	1.2k
Andrew Hauck China	9	642 1.0×	325 0.8×	328 3.2×	56 1.1×	18 0.7×	10	816
Xianrong Zhao China	8	656 1.0×	337 0.8×	249 2.5×	101 1.9×	13 0.5×	11	770
Cong Tan China	16	480 0.7×	228 0.5×	233 2.3×	41 0.8×	6 0.2×	32	607
Jun Fu China	12	325 0.5×	156 0.4×	242 2.4×	34 0.6×	9 0.3×	24	496
Tobias A. Schrag Germany	21	1.3k 1.9×	1.1k 2.6×	187 1.9×	92 1.7×	11 0.4×	27	1.4k

Countries citing papers authored by Yang-Jun Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yang-Jun Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang-Jun Wen. 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 Yang-Jun Wen. The network helps show where Yang-Jun Wen may publish in the future.

Co-authorship network of co-authors of Yang-Jun Wen

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

All Works

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20 of 20 papers shown

Zhang, Jin, et al.. (2024). An Extended Application of the Fast Multi-Locus Ridge Regression Algorithm in Genome-Wide Association Studies of Categorical Phenotypes. Plants. 13(17). 2520–2520.

Han, Le, et al.. (2024). Compressed variance component mixed model reveals epistasis associated with flowering in Arabidopsis. Frontiers in Plant Science. 14. 1283642–1283642. 1 indexed citations

Yang, Ming, et al.. (2023). Improving power of genome-wide association studies via transforming ordinal phenotypes into continuous phenotypes. Frontiers in Plant Science. 14. 1247181–1247181. 1 indexed citations

Wen, Yang-Jun, et al.. (2023). Identification of QTN-by-environment interactions for yield related traits in maize under multiple abiotic stresses. Frontiers in Plant Science. 14. 1050313–1050313. 5 indexed citations

Zhang, Jin, et al.. (2022). Identification of QTNs, QTN-by-environment interactions and genes for yield-related traits in rice using 3VmrMLM. Frontiers in Plant Science. 13. 995609–995609. 12 indexed citations

Li, Ling, et al.. (2022). Genetic Dissection of Epistatic Interactions Contributing Yield-Related Agronomic Traits in Rice Using the Compressed Mixed Model. Plants. 11(19). 2504–2504. 5 indexed citations

Zhou, Ziyang, et al.. (2021). AGNEP: An Agglomerative Nesting Clustering Algorithm for Phenotypic Dimension Reduction in Joint Analysis of Multiple Phenotypes. Frontiers in Genetics. 12. 648831–648831. 4 indexed citations

Zhang, Jin, et al.. (2021). A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association Studies. Frontiers in Genetics. 12. 649196–649196. 2 indexed citations

Zhang, Yawen, Cox Lwaka Tamba, Yang-Jun Wen, et al.. (2020). mrMLM v4.0.2: An R Platform for Multi-Locus Genome-Wide Association Studies. Genomics Proteomics & Bioinformatics. 18(4). 481–487. 125 indexed citations

10.

Wen, Yang-Jun, et al.. (2020). The improved FASTmrEMMA and GCIM algorithms for genome-wide association and linkage studies in large mapping populations. The Crop Journal. 8(5). 723–732. 14 indexed citations

11.

Wen, Yang-Jun, et al.. (2020). Traffic Sign Recognition Based on HOG Feature and SVM. 534–538. 2 indexed citations

12.

Zhang, Yawen, Yang-Jun Wen, Jim M. Dunwell, & Yuan‐Ming Zhang. (2019). QTL.gCIMapping.GUI v2.0: An R software for detecting small-effect and linked QTLs for quantitative traits in bi-parental segregation populations. Computational and Structural Biotechnology Journal. 18. 59–65. 31 indexed citations

13.

Wen, Yang-Jun, et al.. (2019). TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies. Scientific Reports. 9(1). 18034–18034. 7 indexed citations

14.

Wen, Yang-Jun, Yawen Zhang, Jin Zhang, et al.. (2018). An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2. Briefings in Bioinformatics. 20(5). 1913–1924. 50 indexed citations

15.

Ren, Wenlong, Yang-Jun Wen, Jim M. Dunwell, & Yuan‐Ming Zhang. (2017). pKWmEB: integration of Kruskal–Wallis test with empirical Bayes under polygenic background control for multi-locus genome-wide association study. Heredity. 120(3). 208–218. 137 indexed citations

16.

Feng, Jianying, et al.. (2016). Advances on Methodologies for Genome-wide Association Studies in Plants. ACTA AGRONOMICA SINICA. 42(7). 945–945. 8 indexed citations

17.

Wang, Shibo, Yang-Jun Wen, Wenlong Ren, et al.. (2016). Mapping small-effect and linked quantitative trait loci for complex traits in backcross or DH populations via a multi-locus GWAS methodology. Scientific Reports. 6(1). 29951–29951. 45 indexed citations

18.

Wang, Shibo, Jianying Feng, Wenlong Ren, et al.. (2016). Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology. Scientific Reports. 6(1). 19444–19444. 344 indexed citations breakdown →

19.

Han, Jilong, et al.. (2016). Cloning and bioinformatic analysis of transcription factor MYB10 from the red-leaf peach. Genetics and Molecular Research. 15(4).

20.

Guo, Yuanmei, Huashui Ai, Jun Ren, et al.. (2009). A whole genome scan for quantitative trait loci for leg weakness and its related traits in a large F2 intercross population between White Duroc and Erhualian1. Journal of Animal Science. 87(5). 1569–1575. 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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