Z. Jeffrey Chen

11.3k total citations · 2 hit papers
75 papers, 5.9k citations indexed

About

Z. Jeffrey Chen is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Z. Jeffrey Chen has authored 75 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 33 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Z. Jeffrey Chen's work include Plant Molecular Biology Research (42 papers), Chromosomal and Genetic Variations (30 papers) and Research in Cotton Cultivation (17 papers). Z. Jeffrey Chen is often cited by papers focused on Plant Molecular Biology Research (42 papers), Chromosomal and Genetic Variations (30 papers) and Research in Cotton Cultivation (17 papers). Z. Jeffrey Chen collaborates with scholars based in United States, China and Singapore. Z. Jeffrey Chen's co-authors include Qingxin Song, Lu Tian, Misook Ha, Jianlin Wang, David M. Stelly, Wenxue Ye, Luca Comai, Xiaoli Shi, R. W. Doerge and Brian Watson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Z. Jeffrey Chen

72 papers receiving 5.8k citations

Hit Papers

Altered circadian rhythms regulate growth vigour in hybri... 2008 2026 2014 2020 2008 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z. Jeffrey Chen United States 40 5.2k 3.2k 1.1k 302 160 75 5.9k
Axel Himmelbach Germany 39 4.0k 0.8× 2.2k 0.7× 709 0.7× 230 0.8× 255 1.6× 107 4.7k
Lex Flagel United States 30 3.3k 0.6× 2.4k 0.7× 805 0.7× 419 1.4× 78 0.5× 42 4.2k
Candice N. Hirsch United States 30 3.2k 0.6× 1.8k 0.6× 1.3k 1.2× 158 0.5× 209 1.3× 71 4.0k
Yunyuan Xu China 47 5.9k 1.1× 3.8k 1.2× 806 0.7× 132 0.4× 149 0.9× 92 6.5k
Scott D. Michaels United States 45 8.0k 1.5× 6.9k 2.1× 878 0.8× 443 1.5× 154 1.0× 63 9.0k
Nori Kurata Japan 46 6.0k 1.2× 3.7k 1.1× 2.0k 1.8× 395 1.3× 96 0.6× 111 6.9k
Kerstin Kaufmann Germany 42 5.8k 1.1× 5.3k 1.6× 357 0.3× 477 1.6× 131 0.8× 83 6.7k
Hironori Itoh Japan 31 7.3k 1.4× 4.8k 1.5× 1.4k 1.3× 332 1.1× 262 1.6× 48 8.0k
Robert M. Stupar United States 38 3.6k 0.7× 2.0k 0.6× 1000 0.9× 153 0.5× 221 1.4× 93 4.3k
Clare Lister United Kingdom 17 3.7k 0.7× 3.1k 1.0× 590 0.5× 250 0.8× 63 0.4× 20 4.3k

Countries citing papers authored by Z. Jeffrey Chen

Since Specialization
Citations

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

Fields of papers citing papers by Z. Jeffrey Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. Jeffrey Chen. 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 Z. Jeffrey Chen. The network helps show where Z. Jeffrey Chen may publish in the future.

Co-authorship network of co-authors of Z. Jeffrey Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Z. Jeffrey Chen. A scholar is included among the top collaborators of Z. Jeffrey Chen 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 Z. Jeffrey Chen. Z. Jeffrey Chen 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.
Choi, Andrew, Jiaqi Wang, Weicheng Huang, et al.. (2025). Discrete differential geometry for simulating nonlinear behaviors of flexible systems: A survey. Extreme Mechanics Letters. 82. 102430–102430.
2.
Chen, Z. Jeffrey. (2025). Empowering plant epigenetics to breed resilience of crops: From nucleolar dominance to transgenerational epigenetic inheritance. The Plant Genome. 18(2). e70064–e70064. 1 indexed citations
3.
Li, Xiaopeng, Wanxia Wang, Z. Jeffrey Chen, et al.. (2024). Developmental variations of the reproductive organs of ganders from different goose breeds and the underlying mechanisms. Poultry Science. 103(11). 104233–104233. 3 indexed citations
4.
Wu, Jiao, Zhongfu Ni, Z. Jeffrey Chen, et al.. (2024). Ploidy variation induces butterfly effect on chromatin topology in wheat. The Plant Journal. 119(5). 2450–2463. 2 indexed citations
5.
Cao, Shuai & Z. Jeffrey Chen. (2024). Transgenerational epigenetic inheritance during plant evolution and breeding. Trends in Plant Science. 29(11). 1203–1223. 20 indexed citations
6.
June, Viviana, Dongqing Xu, Ophelia Papoulas, et al.. (2023). Protein nonadditive expression and solubility contribute to heterosis in Arabidopsis hybrids and allotetraploids. Frontiers in Plant Science. 14. 1252564–1252564.
7.
Cao, Shuai, Congcong Shen, Yanan Niu, et al.. (2023). Asymmetric variation in DNA methylation during domestication and de-domestication of rice. The Plant Cell. 35(9). 3429–3443. 25 indexed citations
8.
Ando, Atsumi, Ryan C. Kirkbride, Hong Qiao, & Z. Jeffrey Chen. (2022). Endosperm and Maternal-specific expression ofEIN2in the endosperm affects endosperm cellularization and seed size inArabidopsis. Genetics. 223(2). 12 indexed citations
9.
Wang, Longfei, Shuai Cao, Peitong Wang, et al.. (2021). DNA hypomethylation in tetraploid rice potentiates stress-responsive gene expression for salt tolerance. Proceedings of the National Academy of Sciences. 118(13). 97 indexed citations
10.
Ando, Atsumi, Ryan C. Kirkbride, Don C. Jones, Jane Grimwood, & Z. Jeffrey Chen. (2021). LCM and RNA-seq analyses revealed roles of cell cycle and translational regulation and homoeolog expression bias in cotton fiber cell initiation. BMC Genomics. 22(1). 309–309. 12 indexed citations
11.
12.
Kirkbride, Ryan C., Jie Lu, Changqing Zhang, et al.. (2019). Maternal small RNAs mediate spatial-temporal regulation of gene expression, imprinting, and seed development in Arabidopsis. Proceedings of the National Academy of Sciences. 116(7). 2761–2766. 50 indexed citations
13.
Song, Qingxin, Helen Yu, Atsumi Ando, et al.. (2019). Diurnal regulation of SDG2 and JMJ14 by circadian clock oscillators orchestrates histone modification rhythms in Arabidopsis. Genome biology. 20(1). 170–170. 27 indexed citations
14.
Song, Qingxin, Tianzhen Zhang, David M. Stelly, & Z. Jeffrey Chen. (2017). Epigenomic and functional analyses reveal roles of epialleles in the loss of photoperiod sensitivity during domestication of allotetraploid cottons. Genome biology. 18(1). 99–99. 164 indexed citations
15.
Miller, Marisa E., Qingxin Song, Xiaoli Shi, Thomas Juenger, & Z. Jeffrey Chen. (2015). Natural variation in timing of stress-responsive gene expression predicts heterosis in intraspecific hybrids of Arabidopsis. Nature Communications. 6(1). 7453–7453. 96 indexed citations
16.
Song, Qingxin, Xueying Guan, & Z. Jeffrey Chen. (2015). Dynamic Roles for Small RNAs and DNA Methylation during Ovule and Fiber Development in Allotetraploid Cotton. PLoS Genetics. 11(12). e1005724–e1005724. 55 indexed citations
17.
Ha, Misook, Danny W‐K. Ng, Wen‐Hsiung Li, & Z. Jeffrey Chen. (2011). Coordinated histone modifications are associated with gene expression variation within and between species. Genome Research. 21(4). 590–598. 123 indexed citations
19.
Wang, Jianlin, Lu Tian, Hongmei Jiang, et al.. (2005). Genomewide Nonadditive Gene Regulation in Arabidopsis Allotetraploids. Genetics. 172(1). 507–517. 471 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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