Zhou-Geng Xu

1.7k total citations · 2 hit papers
19 papers, 988 citations indexed

About

Zhou-Geng Xu is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Zhou-Geng Xu has authored 19 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Zhou-Geng Xu's work include Plant Molecular Biology Research (12 papers), Plant Reproductive Biology (6 papers) and RNA modifications and cancer (3 papers). Zhou-Geng Xu is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant Reproductive Biology (6 papers) and RNA modifications and cancer (3 papers). Zhou-Geng Xu collaborates with scholars based in China, United States and Australia. Zhou-Geng Xu's co-authors include Jiawei Wang, Guan-Dong Shang, Tian‐Qi Zhang, Lian‐Yu Wu, Fuxiang Wang, Xinyan Zhao, Jian Gao, Chuan‐Miao Zhou, Ying‐Bo Mao and Yu Pan and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Zhou-Geng Xu

18 papers receiving 978 citations

Hit Papers

A Single-Cell RNA Sequencing Profiles the Developmental L... 2019 2026 2021 2023 2019 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhou-Geng Xu China 13 728 716 49 46 24 19 988
Guan-Dong Shang China 12 682 0.9× 742 1.0× 28 0.6× 24 0.5× 24 1.0× 16 910
Kook Hui Ryu United States 12 681 0.9× 660 0.9× 24 0.5× 17 0.4× 15 0.6× 13 898
Emanuele Scacchi Germany 10 935 1.3× 1.2k 1.7× 25 0.5× 23 0.5× 12 0.5× 12 1.4k
Tom Denyer Germany 7 467 0.6× 465 0.6× 29 0.6× 14 0.3× 19 0.8× 9 693
Ginny Antony India 8 501 0.7× 1.6k 2.2× 67 1.4× 35 0.8× 13 0.5× 20 1.7k
Kateřina Schwarzerová Czechia 17 997 1.4× 1.2k 1.6× 24 0.5× 45 1.0× 8 0.3× 31 1.4k
Susana Úbeda-Tomás United Kingdom 12 923 1.3× 1.5k 2.1× 25 0.5× 45 1.0× 8 0.3× 14 1.6k
Gina Turco United States 10 506 0.7× 491 0.7× 82 1.7× 34 0.7× 8 0.3× 11 723
Bert J. van der Zaal Netherlands 16 670 0.9× 737 1.0× 53 1.1× 18 0.4× 5 0.2× 28 1.0k
Jaroslav Fulneček Czechia 16 490 0.7× 580 0.8× 99 2.0× 66 1.4× 8 0.3× 30 765

Countries citing papers authored by Zhou-Geng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Zhou-Geng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhou-Geng Xu. 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 Zhou-Geng Xu. The network helps show where Zhou-Geng Xu may publish in the future.

Co-authorship network of co-authors of Zhou-Geng Xu

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

All Works

19 of 19 papers shown
1.
Xu, Zhou-Geng, Heng Lian, Ming Yuan, et al.. (2025). FX-Cell: a method for single-cell RNA sequencing on difficult-to-digest and cryopreserved plant samples. Nature Methods. 22(12). 2551–2562.
2.
Xu, Zhou-Geng, Yujie Liu, Long Wang, et al.. (2025). A unified cell atlas of vascular plants reveals cell-type foundational genes and accelerates gene discovery. Cell. 188(22). 6370–6390.e29. 2 indexed citations
3.
Tang, Haibao, Vivek Krishnakumar, Xiaofei Zeng, et al.. (2024). JCVI: A versatile toolkit for comparative genomics analysis. SHILAP Revista de lepidopterología. 3(4). e211–e211. 115 indexed citations breakdown →
4.
Zhang, Luyi, Zhou-Geng Xu, Xiaoli Liu, et al.. (2024). Reciprocal conversion between annual and polycarpic perennial flowering behavior in the Brassicaceae. Cell. 187(13). 3319–3337.e18. 11 indexed citations
5.
Zhou, Chuan‐Miao, Jianxu Li, Tian‐Qi Zhang, et al.. (2024). The structure of B-ARR reveals the molecular basis of transcriptional activation by cytokinin. Proceedings of the National Academy of Sciences. 121(3). e2319335121–e2319335121. 14 indexed citations
6.
Wang, Long, et al.. (2023). The maturation and aging trajectory of Marchantia polymorpha at single-cell resolution. Developmental Cell. 58(15). 1429–1444.e6. 13 indexed citations
7.
Tang, Hongbo, Guan-Dong Shang, Zhou-Geng Xu, et al.. (2023). Anisotropic cell growth at the leaf base promotes age-related changes in leaf shape in Arabidopsis thaliana. The Plant Cell. 35(5). 1386–1407. 17 indexed citations
8.
Xu, Zhou-Geng, Tiangen Chang, Long Wang, et al.. (2023). Common evolutionary trajectory of short life-cycle in Brassicaceae ruderal weeds. Nature Communications. 14(1). 290–290. 12 indexed citations
9.
Shang, Guan-Dong, et al.. (2022). FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data. BMC Genomics. 23(S1). 272–272. 4 indexed citations
10.
Wu, Lian‐Yu, Guan-Dong Shang, Fuxiang Wang, et al.. (2022). Dynamic chromatin state profiling reveals regulatory roles of auxin and cytokinin in shoot regeneration. Developmental Cell. 57(4). 526–542.e7. 66 indexed citations
11.
Li, Chenyi, Lei Yang, Yan Liu, et al.. (2022). The sage genome provides insight into the evolutionary dynamics of diterpene biosynthesis gene cluster in plants. Cell Reports. 40(7). 111236–111236. 32 indexed citations
12.
Gao, Jian, Ke Zhang, Ying‐Juan Cheng, et al.. (2022). A robust mechanism for resetting juvenility during each generation in Arabidopsis. Nature Plants. 8(3). 257–268. 26 indexed citations
13.
Guo, Shipeng, et al.. (2022). GPSAdb: a comprehensive web resource for interactive exploration of genetic perturbation RNA-seq datasets. Nucleic Acids Research. 51(D1). D964–D968. 29 indexed citations
14.
Wu, Xiaoxian, Chengli Fang, Zhou-Geng Xu, et al.. (2021). Pol IV and RDR2: A two-RNA-polymerase machine that produces double-stranded RNA. Science. 374(6575). 1579–1586. 36 indexed citations
15.
Wang, Fuxiang, Guan-Dong Shang, Lian‐Yu Wu, et al.. (2021). Protocol for assaying chromatin accessibility using ATAC-seq in plants. STAR Protocols. 2(1). 100289–100289. 9 indexed citations
16.
Cheng, Ying‐Juan, Guan-Dong Shang, Zhou-Geng Xu, et al.. (2021). Cell division in the shoot apical meristem is a trigger for miR156 decline and vegetative phase transition in Arabidopsis. Proceedings of the National Academy of Sciences. 118(46). 33 indexed citations
17.
Wang, Fuxiang, Guan-Dong Shang, Lian‐Yu Wu, et al.. (2020). Chromatin Accessibility Dynamics and a Hierarchical Transcriptional Regulatory Network Structure for Plant Somatic Embryogenesis. Developmental Cell. 54(6). 742–757.e8. 120 indexed citations
18.
Zhang, Tian‐Qi, Zhou-Geng Xu, Guan-Dong Shang, & Jiawei Wang. (2019). A Single-Cell RNA Sequencing Profiles the Developmental Landscape of Arabidopsis Root. Molecular Plant. 12(5). 648–660. 320 indexed citations breakdown →
19.
Ye, Binbin, Guan-Dong Shang, Yu Pan, et al.. (2019). AP2/ERF Transcription Factors Integrate Age and Wound Signals for Root Regeneration. The Plant Cell. 32(1). 226–241. 129 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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