Ying Zhen

1.4k total citations
29 papers, 798 citations indexed

About

Ying Zhen is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ying Zhen has authored 29 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Plant Science. Recurrent topics in Ying Zhen's work include Genetic diversity and population structure (8 papers), Species Distribution and Climate Change (6 papers) and Genomics and Phylogenetic Studies (4 papers). Ying Zhen is often cited by papers focused on Genetic diversity and population structure (8 papers), Species Distribution and Climate Change (6 papers) and Genomics and Phylogenetic Studies (4 papers). Ying Zhen collaborates with scholars based in United States, China and Cameroon. Ying Zhen's co-authors include Mark C. Ungerer, Peter Andolfatto, Matthew L. Aardema, Edgar M. Medina, Molly Schumer, Kirk E. Lohmueller, Thomas B. Smith, Takeshi Kawakami, Danyang Li and Liang Tao and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ying Zhen

26 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Zhen United States	14	302	284	257	166	109	29	798
Sudhindra R. Gadagkar United States	11	485 1.6×	259 0.9×	195 0.8×	219 1.3×	151 1.4×	25	867
Dominik R. Laetsch United Kingdom	17	219 0.7×	239 0.8×	220 0.9×	263 1.6×	177 1.6×	26	808
J. Cristobal Vera United States	9	399 1.3×	241 0.8×	122 0.5×	115 0.7×	240 2.2×	12	872
Richard T. Lapoint United States	10	236 0.8×	178 0.6×	106 0.4×	238 1.4×	117 1.1×	14	669
Weilin Sun United States	21	635 2.1×	223 0.8×	348 1.4×	136 0.8×	53 0.5×	50	1.1k
Natsuko Ito Kondo Japan	16	286 0.9×	183 0.6×	167 0.6×	183 1.1×	143 1.3×	39	1.1k
Helena Johansson United Kingdom	12	94 0.3×	301 1.1×	69 0.3×	205 1.2×	114 1.0×	21	552
Marc Ciosi United Kingdom	16	363 1.2×	245 0.9×	148 0.6×	144 0.9×	184 1.7×	27	870
Toni I. Gossmann United Kingdom	18	595 2.0×	533 1.9×	242 0.9×	144 0.9×	71 0.7×	37	1.1k
Ludovic Duvaux France	11	91 0.3×	171 0.6×	107 0.4×	132 0.8×	47 0.4×	13	393

Countries citing papers authored by Ying Zhen

Since Specialization

Citations

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

Fields of papers citing papers by Ying Zhen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zhen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhen, Ying, et al.. (2025). Signaling and scavenging: Unraveling the complex network of antioxidant enzyme regulation in plant cold adaptation. Plant Stress. 16. 100833–100833. 1 indexed citations

Wen, Zhixin, et al.. (2025). Distinct latitudinal patterns of molecular rates across vertebrates. Proceedings of the National Academy of Sciences. 122(19). e2423386122–e2423386122.

Zhen, Ying, et al.. (2024). Genetic diversity, demographic history, and selective signatures of Silkie chicken. BMC Genomics. 25(1). 754–754. 4 indexed citations

Li, Xiaoyi, et al.. (2024). A versatile pipeline to identify convergently lost ancestral conserved fragments associated with convergent evolution of vocal learning. Briefings in Bioinformatics. 26(1).

Yang, Lu, Matthew L. Aardema, Ying Zhen, et al.. (2023). Predatory fireflies and their toxic firefly prey have evolved distinct toxin resistance strategies. Current Biology. 33(23). 5160–5168.e7. 7 indexed citations

Luo, Jianhua, Xiaofeng Zhang, Li Wan, et al.. (2022). TFPI is a colonic crypt receptor for TcdB from hypervirulent clade 2 C. difficile. Cell. 185(6). 980–994.e15. 52 indexed citations

Sork, Victoria L., Shawn Cokus, Sorel Fitz‐Gibbon, et al.. (2022). High-quality genome and methylomes illustrate features underlying evolutionary success of oaks. Nature Communications. 13(1). 2047–2047. 53 indexed citations

Xu, Xiao-Dong, et al.. (2022). Two new species of Pyrocoelia Gorham (Coleoptera: Lampyridae) from Southwest China. Zootaxa. 5162(2). 173–182. 3 indexed citations

Xu, Xiao-Dong, et al.. (2022). Systematic review of the firefly genus Emeia Fu, Ballantyne & Lambkin, 2012 (Coleoptera, Lampyridae) from China. ZooKeys. 1113. 153–166. 3 indexed citations

10.

Shen, Enhui, Danyang Li, Yun Luo, et al.. (2020). Subtyping analysis reveals new variants and accelerated evolution of Clostridioides difficile toxin B. Communications Biology. 3(1). 347–347. 56 indexed citations

11.

Zhen, Ying, Christian D. Huber, R. W. Davies, & Kirk E. Lohmueller. (2020). Greater strength of selection and higher proportion of beneficial amino acid changing mutations in humans compared with mice and Drosophila melanogaster. Genome Research. 31(1). 110–120. 13 indexed citations

12.

vonHoldt, Bridgett M., Christian D. Huber, Vinh Le Underwood, et al.. (2018). Growth factor gene IGF1 is associated with bill size in the black-bellied seedcracker Pyrenestes ostrinus. Nature Communications. 9(1). 4855–4855. 19 indexed citations

13.

McCulloch, Kyle J., Furong Yuan, Ying Zhen, et al.. (2017). Sexual Dimorphism and Retinal Mosaic Diversification following the Evolution of a Violet Receptor in Butterflies. Molecular Biology and Evolution. 34(9). 2271–2284. 39 indexed citations

14.

Yin, Hengfu, Zhengqi Fan, Xinlei Li, et al.. (2016). Phylogenetic tree-informed microRNAome analysis uncovers conserved and lineage-specific miRNAs inCamelliaduring floral organ development. Journal of Experimental Botany. 67(9). 2641–2653. 32 indexed citations

15.

Zhen, Ying, Matthew L. Aardema, Edgar M. Medina, Molly Schumer, & Peter Andolfatto. (2012). Parallel Molecular Evolution in an Herbivore Community. Science. 337(6102). 1634–1637. 196 indexed citations

16.

Zhen, Ying & Peter Andolfatto. (2012). Methods to Detect Selection on Noncoding DNA. Methods in molecular biology. 856. 141–159. 26 indexed citations

17.

Aardema, Matthew L., Ying Zhen, & Peter Andolfatto. (2011). The evolution of cardenolide‐resistant forms of Na⁺,K⁺‐ATPase in Danainae butterflies. Molecular Ecology. 21(2). 340–349. 30 indexed citations

18.

Zhen, Ying, et al.. (2011). Fitness Benefits and Costs of Cold Acclimation inArabidopsis thaliana. The American Naturalist. 178(1). 44–52. 32 indexed citations

19.

Kawakami, Takeshi, et al.. (2010). Different scales of Ty1/copia-like retrotransposon proliferation in the genomes of three diploid hybrid sunflower species. Heredity. 104(4). 341–350. 35 indexed citations

20.

Zhen, Ying & Mark C. Ungerer. (2007). Clinal variation in freezing tolerance among natural accessions of Arabidopsis thaliana. New Phytologist. 177(2). 419–427. 120 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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