Yang Bian

660 total citations
10 papers, 460 citations indexed

About

Yang Bian is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Yang Bian has authored 10 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in Yang Bian's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Yang Bian is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Yang Bian collaborates with scholars based in United States, China and France. Yang Bian's co-authors include James B. Holland, Randall J. Wisser, Peter Balint‐Kurti, Qin Yang, Peter J. Bradbury, Michael V. Kolomiets, Jeffrey L. Caplan, Xu Li, Nick Lauter and Timothy Chaya and has published in prestigious journals such as Nature Genetics, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Yang Bian

9 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Bian United States	8	394	186	128	53	19	10	460
Weina Si China	14	496 1.3×	81 0.4×	255 2.0×	65 1.2×	13 0.7×	31	575
F. Fusari Italy	6	314 0.8×	140 0.8×	84 0.7×	32 0.6×	6 0.3×	7	373
Denis Lespinasse France	7	294 0.7×	185 1.0×	187 1.5×	44 0.8×	24 1.3×	12	402
Rihua Piao South Korea	17	717 1.8×	328 1.8×	253 2.0×	18 0.3×	32 1.7×	26	782
G. J. N. Rao India	14	580 1.5×	176 0.9×	132 1.0×	24 0.5×	5 0.3×	28	616
Mengli Xi China	9	266 0.7×	49 0.3×	157 1.2×	41 0.8×	13 0.7×	32	321
Marieke Jeuken Netherlands	13	662 1.7×	165 0.9×	160 1.3×	76 1.4×	3 0.2×	20	713
Jon Duvick United States	7	436 1.1×	77 0.4×	350 2.7×	49 0.9×	15 0.8×	9	544
Deshun Feng China	14	647 1.6×	206 1.1×	161 1.3×	32 0.6×	7 0.4×	27	673
Wuming Xiao China	12	445 1.1×	172 0.9×	130 1.0×	20 0.4×	11 0.6×	35	484

Countries citing papers authored by Yang Bian

Since Specialization

Citations

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

Fields of papers citing papers by Yang Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Bian

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

All Works

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10 of 10 papers shown

Zhong, Tao, Bode A. Olukolu, Yang Bian, et al.. (2025). The maize mitogen‐activated protein kinase kinase kinase gene ZmMAPKKK45 is associated with multiple disease resistance. New Phytologist. 249(6). 3003–3020.

Chen, Linxi, Xinrui Huang, Yang Bian, et al.. (2024). A self-supervised spatio-temporal attention network for video-based 3D infant pose estimation. Medical Image Analysis. 96. 103208–103208. 7 indexed citations

Bian, Yang, et al.. (2022). Genomic prediction for the Germplasm Enhancement of Maize project. The Plant Genome. 15(4). e20267–e20267. 12 indexed citations

Bian, Yang & James B. Holland. (2017). Enhancing genomic prediction with genome-wide association studies in multiparental maize populations. Heredity. 118(6). 585–593. 62 indexed citations

Yang, Qin, Yijian He, Timothy Chaya, et al.. (2017). A gene encoding maize caffeoyl-CoA O-methyltransferase confers quantitative resistance to multiple pathogens. Nature Genetics. 49(9). 1364–1372. 210 indexed citations

Olukolu, Bode A., Yang Bian, Brian de Vries, et al.. (2016). The Genetics of Leaf Flecking in Maize and Its Relationship to Plant Defense and Disease Resistance. PLANT PHYSIOLOGY. 172(3). 1787–1803. 19 indexed citations

Bian, Yang & James B. Holland. (2015). Ensemble Learning of QTL Models Improves Prediction of Complex Traits. G3 Genes Genomes Genetics. 5(10). 2073–2084. 6 indexed citations

Bian, Yang, et al.. (2015). Joint-multiple family linkage analysis predicts within-family variation better than single-family analysis of the maize nested association mapping population. Heredity. 114(6). 552–563. 56 indexed citations

Bian, Yang, James R. Ballington, Archana N. Raja, et al.. (2014). Patterns of simple sequence repeats in cultivated blueberries (Vaccinium section Cyanococcus spp.) and their use in revealing genetic diversity and population structure. Molecular Breeding. 34(2). 675–689. 56 indexed citations

10.

Bian, Yang, Qin Yang, Peter Balint‐Kurti, Randall J. Wisser, & James B. Holland. (2014). Limits on the reproducibility of marker associations with southern leaf blight resistance in the maize nested association mapping population. BMC Genomics. 15(1). 1068–1068. 32 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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