Guan-Dong Shang

1.4k total citations · 1 hit paper
16 papers, 910 citations indexed

About

Guan-Dong Shang is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Guan-Dong Shang has authored 16 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in Molecular Biology and 1 paper in Endocrinology. Recurrent topics in Guan-Dong Shang's work include Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (6 papers) and Chromosomal and Genetic Variations (5 papers). Guan-Dong Shang is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (6 papers) and Chromosomal and Genetic Variations (5 papers). Guan-Dong Shang collaborates with scholars based in China, Australia and Germany. Guan-Dong Shang's co-authors include Jiawei Wang, Zhou-Geng Xu, Tian‐Qi Zhang, Fuxiang Wang, Lian‐Yu Wu, Xinyan Zhao, Jian Gao, Chuan‐Miao Zhou, Ning Bao and Ying‐Bo Mao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Guan-Dong Shang

16 papers receiving 900 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.

A Single-Cell RNA Sequencing Profiles the Developmental Landscape of Arabidopsis Root

2019 320 citations Tian‐Qi Zhang, Zhou-Geng Xu et al. Molecular Plant profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guan-Dong Shang China	12	742	682	29	28	24	16	910
Kenji Osabe Japan	18	619 0.8×	395 0.6×	48 1.7×	128 4.6×	18 0.8×	35	743
Jinbu Jia China	13	418 0.6×	400 0.6×	25 0.9×	20 0.7×	4 0.2×	18	641
Nicholas C. Collins Australia	12	1.2k 1.6×	377 0.6×	26 0.9×	71 2.5×	25 1.0×	14	1.3k
Guy Wachsman United States	10	880 1.2×	656 1.0×	7 0.2×	22 0.8×	25 1.0×	12	975
Zhengxiu Ye China	9	510 0.7×	370 0.5×	31 1.1×	62 2.2×	6 0.3×	13	631
Alexandre P. Marand United States	18	1.3k 1.7×	1.1k 1.6×	12 0.4×	257 9.2×	18 0.8×	32	1.7k
Jaroslav Fulneček Czechia	16	580 0.8×	490 0.7×	9 0.3×	99 3.5×	66 2.8×	30	765
Hanspeter Schöb Switzerland	9	491 0.7×	401 0.6×	22 0.8×	22 0.8×	11 0.5×	10	577
Carolin Seyfferth Sweden	9	565 0.8×	338 0.5×	5 0.2×	21 0.8×	21 0.9×	13	672

Countries citing papers authored by Guan-Dong Shang

Since Specialization

Citations

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

Fields of papers citing papers by Guan-Dong Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Dong Shang. 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 Guan-Dong Shang. The network helps show where Guan-Dong Shang may publish in the future.

Co-authorship network of co-authors of Guan-Dong Shang

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

All Works

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16 of 16 papers shown

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

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

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

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

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

Zhao, Zhiwei, Craig Dent, Guan-Dong Shang, et al.. (2022). CRY2 interacts with CIS1 to regulate thermosensory flowering via FLM alternative splicing. Nature Communications. 13(1). 7045–7045. 35 indexed citations

Wang, Fuxiang, Guan-Dong Shang, & Jiawei Wang. (2022). Towards a hierarchical gene regulatory network underlying somatic embryogenesis. Trends in Plant Science. 27(12). 1209–1217. 27 indexed citations

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

Wu, Lian‐Yu, Guan-Dong Shang, Fuxiang Wang, Jian Gao, & Jiawei Wang. (2021). Dynamic Chromatin State Profiling Reveals Regulatory Principle of Pluripotency During Shoot Regeneration. SSRN Electronic Journal. 1 indexed citations

10.

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

11.

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

12.

Wang, Fuxiang, et al.. (2020). Chromatin Accessibility Dynamics and a Hierarchical Transcriptional Regulatory Network Structure for Plant Somatic Embryogenesis. SSRN Electronic Journal. 5 indexed citations

13.

Wang, Long, Chuan‐Miao Zhou, Yan‐Xia Mai, et al.. (2019). A spatiotemporally regulated transcriptional complex underlies heteroblastic development of leaf hairs in Arabidopsis thaliana. The EMBO Journal. 38(8). 42 indexed citations

14.

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 →

15.

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

16.

Zhao, Ting, Shouli Feng, Luyao Wang, et al.. (2018). LncRNAs in polyploid cotton interspecific hybrids are derived from transposon neofunctionalization. Genome biology. 19(1). 195–195. 65 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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