Weixing Shan

4.0k total citations · 1 hit paper
80 papers, 2.9k citations indexed

About

Weixing Shan is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Weixing Shan has authored 80 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 16 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Weixing Shan's work include Plant-Microbe Interactions and Immunity (52 papers), Plant Pathogens and Resistance (41 papers) and Plant Disease Resistance and Genetics (25 papers). Weixing Shan is often cited by papers focused on Plant-Microbe Interactions and Immunity (52 papers), Plant Pathogens and Resistance (41 papers) and Plant Disease Resistance and Genetics (25 papers). Weixing Shan collaborates with scholars based in China, Australia and United States. Weixing Shan's co-authors include Brett M. Tyler, Yuling Meng, Biao Gu, Minh Duc Cao, Shiv D. Kale, Francine Govers, Daolong Dou, Yan Wang, Qinhu Wang and Adrienne R. Hardham and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Weixing Shan

74 papers receiving 2.9k citations

Hit Papers

Transcriptional Programming and Functional Interactions w... 2011 2026 2016 2021 2011 100 200 300
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.

  1. Transcriptional Programming and Functional Interactions within thePhytophthora sojaeRXLR Effector Repertoire    
    2011 359 citations Wenwu Ye, Weixing Shan et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixing Shan China 28 2.7k 807 566 98 83 80 2.9k
Wenwu Ye China 33 3.7k 1.4× 1.1k 1.4× 931 1.6× 132 1.3× 142 1.7× 114 4.0k
Anna O. Avrova United Kingdom 27 2.5k 0.9× 716 0.9× 624 1.1× 62 0.6× 106 1.3× 47 2.8k
Harrold A. van den Burg Netherlands 23 2.0k 0.8× 876 1.1× 409 0.7× 107 1.1× 44 0.5× 57 2.4k
Benjamin Pêtre France 23 1.7k 0.6× 795 1.0× 403 0.7× 82 0.8× 48 0.6× 35 2.0k
Diana Fernandez France 24 1.3k 0.5× 466 0.6× 384 0.7× 84 0.9× 83 1.0× 62 1.7k
Susana Rivas France 25 2.3k 0.9× 1.1k 1.4× 303 0.5× 94 1.0× 32 0.4× 30 2.6k
H. Peter van Esse Netherlands 18 2.5k 0.9× 785 1.0× 824 1.5× 119 1.2× 46 0.6× 28 2.8k
Edgar Huitema United Kingdom 27 3.0k 1.1× 834 1.0× 791 1.4× 119 1.2× 85 1.0× 42 3.4k
Wendy E. Durrant United States 9 3.0k 1.1× 1.1k 1.3× 382 0.7× 204 2.1× 35 0.4× 9 3.3k
Lionel Navarro France 18 4.9k 1.8× 1.5k 1.9× 258 0.5× 253 2.6× 102 1.2× 23 5.2k

Countries citing papers authored by Weixing Shan

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixing Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Weixing Shan. A scholar is included among the top collaborators of Weixing Shan 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 Weixing Shan. Weixing Shan 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.
Tian, Peng, Jie Zheng, Bianbian Wang, et al.. (2025). Genome-wide DNA methylation landscape and its association with the transcriptome reprogramming in potato in response to Phytophthora infestans infection. Horticulture Research. 13(2). uhaf297–uhaf297.
2.
Wang, Hongmei, et al.. (2025). Mitochondrial ROS trigger interorganellular signaling and prime ER processes to establish enhanced plant immunity. Science Advances. 11(40). eady9234–eady9234.
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Li, Jinyang, et al.. (2025). Late blight pathogen targets host Rab‐G3 GTPases with an atypical GTPase‐activating protein. Journal of Integrative Plant Biology. 67(8). 2135–2150. 3 indexed citations
5.
Dong, Jingwen, Weiwei Li, Yang Yang, et al.. (2025). The cysteine protease RD19C suppresses plant immunity to Phytophthora by modulating copper chaperone ATX1 stability. The Plant Journal. 122(1). e70120–e70120.
6.
Luo, Haiqiang, Enke Liu, Weixing Shan, et al.. (2024). Maximizing potato tuber yields and nitrogen use efficiency in semi-arid environments by precision fertilizer depth application. European Journal of Agronomy. 156. 127147–127147. 13 indexed citations
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Lehmann, Silke, Melina Altmann, Stefan Altmann, et al.. (2023). Symbiont-host interactome mapping reveals effector-targeted modulation of hormone networks and activation of growth promotion. Nature Communications. 14(1). 4065–4065. 10 indexed citations
9.
Wang, Ziwei, Tingting Li, Weixing Shan, et al.. (2023). A Phytophthora infestans RXLR effector targets a potato ubiquitin‐like domain‐containing protein to inhibit the proteasome activity and hamper plant immunity. New Phytologist. 238(2). 781–797. 14 indexed citations
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Li, Zhenzhen, Jing Cheng, Xiaokang Chen, et al.. (2021). Potato StMPK7 is a downstream component of StMKK1 and promotes resistance to the oomycete pathogen Phytophthora infestans. Molecular Plant Pathology. 22(6). 644–657. 23 indexed citations
13.
Sun, Feifei, Suli Sun, Wenwu Ye, et al.. (2021). Genome Sequence Data of Three Formae Speciales of Phytophthora vignae Causing Phytophthora Stem Rot on Different Vigna Species. Plant Disease. 105(11). 3732–3735. 2 indexed citations
14.
Du, Yu, et al.. (2020). Phytophthora infestans RXLR effector PITG20303 targets a potato MKK1 protein to suppress plant immunity. New Phytologist. 229(1). 501–515. 76 indexed citations
15.
Sun, Feifei, Suli Sun, Yong Yang, et al.. (2020). A Novel Disease of Mung Bean, Phytophthora Stem Rot Caused by a New Forma Specialis of Phytophthora vignae. Plant Disease. 105(8). 2160–2168. 6 indexed citations
16.
Fan, Guangjin, et al.. (2020). Cytidine-to-Uridine RNA Editing Factor NbMORF8 Negatively Regulates Plant Immunity to Phytophthora Pathogens. PLANT PHYSIOLOGY. 184(4). 2182–2198. 27 indexed citations
17.
Smith, Neil A., et al.. (2019). Full-Length Hairpin RNA Accumulates at High Levels in Yeast but Not in Bacteria and Plants. Genes. 10(6). 458–458. 16 indexed citations
18.
Li, Tingting, Qinhu Wang, Guangjin Fan, et al.. (2019). Negative regulators of plant immunity derived from cinnamyl alcohol dehydrogenases are targeted by multiple Phytophthora Avr3a‐like effectors. New Phytologist. 50 indexed citations
19.
Deng, Fengyan, Tingwei Guo, Steven Scaglione, et al.. (2017). Expression and regulation of ATL9, an E3 ubiquitin ligase involved in plant defense. PLoS ONE. 12(11). e0188458–e0188458. 29 indexed citations
20.
Liu, Qiuping, et al.. (2010). Nonhost Interaction of Phytophthora sojae and Arabidopsis thaliana and Genetic Analysis of a Susceptible Mutant. Chinese Bulletin of Botany. 45(5). 548. 1 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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