Li Wan

2.1k total citations · 2 hit papers
41 papers, 1.4k citations indexed

About

Li Wan is a scholar working on Plant Science, Molecular Biology and Immunology. According to data from OpenAlex, Li Wan has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Li Wan's work include Plant-Microbe Interactions and Immunity (17 papers), Plant Parasitism and Resistance (9 papers) and Transgenic Plants and Applications (5 papers). Li Wan is often cited by papers focused on Plant-Microbe Interactions and Immunity (17 papers), Plant Parasitism and Resistance (9 papers) and Transgenic Plants and Applications (5 papers). Li Wan collaborates with scholars based in China, United States and Australia. Li Wan's co-authors include Jeffery L. Dangl, Eui‐Hwan Chung, Ryan G. Anderson, Marc T. Nishimura, Farid El Kasmi, Jeffrey Milbrandt, Freddy Monteiro, Erin Osborne Nishimura, Aaron DiAntonio and Yo Sasaki and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Li Wan

36 papers receiving 1.3k citations

Hit Papers

TIR domains of plant immune receptors are NAD + -cleaving... 2019 2026 2021 2023 2019 2021 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. TIR domains of plant immune receptors are NAD + -cleaving enzymes that promote cell death
    2019 312 citations Li Wan, Kow Essuman et al. Science profile →
  2. Plant “helper” immune receptors are Ca 2+ -permeable nonselective cation channels
    2021 258 citations Pierre Jacob, Nak Hyun Kim et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Wan China 15 959 361 228 130 55 41 1.4k
Dongli Yu China 11 612 0.6× 219 0.6× 102 0.4× 77 0.6× 30 0.5× 17 852
Shijia Huang China 10 799 0.8× 260 0.7× 86 0.4× 83 0.6× 24 0.4× 15 968
Martina Leipelt Germany 10 175 0.2× 689 1.9× 116 0.5× 59 0.5× 76 1.4× 13 877
Kathleen M. Hanley United States 10 604 0.6× 705 2.0× 151 0.7× 446 3.4× 43 0.8× 16 1.1k
Stephen J. Garger United States 14 353 0.4× 593 1.6× 116 0.5× 406 3.1× 52 0.9× 21 1.0k
Mee‐Ngan F. Yap United States 20 372 0.4× 698 1.9× 29 0.1× 91 0.7× 35 0.6× 33 1.1k
Wim D’Haeze Belgium 20 1.0k 1.1× 452 1.3× 24 0.1× 42 0.3× 115 2.1× 51 1.6k
Braden M. Roth United States 14 286 0.3× 411 1.1× 44 0.2× 59 0.5× 53 1.0× 24 787
Gregory L. Gray United States 13 135 0.1× 692 1.9× 170 0.7× 237 1.8× 33 0.6× 16 1.0k

Countries citing papers authored by Li Wan

Since Specialization
Citations

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

Fields of papers citing papers by Li Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Wan. A scholar is included among the top collaborators of Li Wan 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 Li Wan. Li Wan 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.
2.
Wang, Luyao, Hongbo Li, Ya-Jiao Ke, et al.. (2025). Plug-in strategy for resistance engineering inspired by potato NLRome. Nature. 649(8096). 396–405. 1 indexed citations
3.
Yang, Shujun, Yajie Guo, Zijie Huang, et al.. (2025). GLIPR2 regulates EndoMT and cardiac fibrosis after AMI via PDGFRL/AKT/mTOR signaling pathway. Life Sciences. 378. 123816–123816.
4.
Bayless, Adam M., Lijiang Song, T Todd, et al.. (2025). The Arabidopsis TIRome informs the design of artificial TIR (Toll/interleukin-1 receptor) domain proteins. Proceedings of the National Academy of Sciences. 122(37). e2505893122–e2505893122.
5.
Li, Guojun, Sisi Chen, Bo Yu, et al.. (2025). TIR immune signalling is blocked by phosphorylation to maintain plant growth. Nature Plants. 11(6). 1193–1204. 3 indexed citations
6.
Wu, Xiaoxian, et al.. (2025). Activation and inhibition mechanisms of a plant helper NLR. Nature. 639(8054). 438–446. 9 indexed citations
7.
Ren, Liwen, Li Wan, Yizhi Zhang, et al.. (2024). Interferon Gamma Inducible Protein 30: from biological functions to potential therapeutic target in cancers. Cellular Oncology. 47(5). 1593–1605. 2 indexed citations
8.
Wan, Li, et al.. (2024). Proximity ligation-triggered DNAzyme for selective fluorescent aptasensing of methicillin-resistant Staphylococcus aureus. Analytical Biochemistry. 696. 115683–115683. 1 indexed citations
9.
Furzer, Oliver J., et al.. (2024). Paired plant immune CHS3-CSA1 receptor alleles form distinct hetero-oligomeric complexes. Science. 383(6684). eadk3468–eadk3468. 12 indexed citations
10.
Wan, Li. (2023). TIR enzymatic functions: signaling molecules and receptor mechanisms. aBIOTECH. 4(2). 172–175. 4 indexed citations
11.
Bayless, Adam M., Sisi Chen, Xiaoyan Xu, et al.. (2023). Plant and prokaryotic TIR domains generate distinct cyclic ADPR NADase products. Science Advances. 9(11). eade8487–eade8487. 45 indexed citations
12.
Wan, Li, Peilei Hu, Lili Zhang, et al.. (2023). Omics analysis of Mycobacterium tuberculosis isolates uncovers Rv3094c, an ethionamide metabolism-associated gene. Communications Biology. 6(1). 156–156. 3 indexed citations
13.
Li, Jinchun, et al.. (2023). Clinical Features and Antibiotic Treatment of Neonatal Listeriosis: A Hospital-Based Study. Infection and Drug Resistance. Volume 16. 6647–6659. 4 indexed citations
14.
Jacob, Pierre, Nak Hyun Kim, Fei-Hua Wu, et al.. (2021). Plant “helper” immune receptors are Ca 2+ -permeable nonselective cation channels. Science. 373(6553). 420–425. 258 indexed citations breakdown →
15.
Saile, Svenja C., Jutta Keicher, Adam M. Bayless, et al.. (2021). Arabidopsis ADR1 helper NLR immune receptors localize and function at the plasma membrane in a phospholipid dependent manner. New Phytologist. 232(6). 2440–2456. 47 indexed citations
16.
Wan, Li, Kow Essuman, Ryan G. Anderson, et al.. (2019). TIR domains of plant immune receptors are NAD + -cleaving enzymes that promote cell death. Science. 365(6455). 799–803. 312 indexed citations breakdown →
17.
Liu, Tian, Yong Zhou, Ping Li, et al.. (2016). Blocking triggering receptor expressed on myeloid cells-1 attenuates lipopolysaccharide-induced acute lung injury via inhibiting NLRP3 inflammasome activation. Scientific Reports. 6(1). 39473–39473. 69 indexed citations
18.
Williams, Simon J., Kee Hoon Sohn, Li Wan, et al.. (2014). Structural Basis for Assembly and Function of a Heterodimeric Plant Immune Receptor. Science. 344(6181). 299–303. 262 indexed citations
19.
20.
Wan, Li, Simon J. Williams, Xiaoxiao Zhang, et al.. (2013). Crystallization and preliminary X-ray diffraction analysis of the flax cytokinin oxidase LuCKX1.1. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 69(10). 1094–1096. 2 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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