Xiao‐Li Tan

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

About

Xiao‐Li Tan is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Xiao‐Li Tan has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 44 papers in Plant Science and 17 papers in Biochemistry. Recurrent topics in Xiao‐Li Tan's work include Photosynthetic Processes and Mechanisms (19 papers), Lipid metabolism and biosynthesis (17 papers) and Plant-Microbe Interactions and Immunity (11 papers). Xiao‐Li Tan is often cited by papers focused on Photosynthetic Processes and Mechanisms (19 papers), Lipid metabolism and biosynthesis (17 papers) and Plant-Microbe Interactions and Immunity (11 papers). Xiao‐Li Tan collaborates with scholars based in China, Australia and Iran. Xiao‐Li Tan's co-authors include Zheng Wang, Keming Zhu, Jun Cao, Lina Ding, Rui Geng, Guanying Li, Zhiyan Zhang, Keping Chen, Yu Chen and Teng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Xiao‐Li Tan

61 papers receiving 1.4k citations

Hit Papers

Plant Disease Resistance-Related Signaling Pathways: Rece... 2022 2026 2023 2024 2022 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Li Tan China 21 1.0k 716 203 76 64 66 1.4k
Uday K. Divi Australia 12 1.5k 1.4× 853 1.2× 361 1.8× 50 0.7× 28 0.4× 15 1.9k
Isabel Molina Canada 21 1.6k 1.5× 823 1.1× 215 1.1× 26 0.3× 91 1.4× 39 1.8k
Tonni Grube Andersen Germany 17 1.9k 1.8× 1.0k 1.4× 67 0.3× 56 0.7× 62 1.0× 37 2.1k
Luis Oñate‐Sánchez Spain 22 2.1k 2.0× 1.3k 1.9× 76 0.4× 56 0.7× 64 1.0× 30 2.4k
Guillaume Ménard United Kingdom 11 940 0.9× 452 0.6× 237 1.2× 21 0.3× 31 0.5× 19 1.2k
Young Sam Go South Korea 15 1.4k 1.3× 859 1.2× 351 1.7× 19 0.3× 26 0.4× 31 1.6k
Lenka Burketová Czechia 22 1.2k 1.2× 508 0.7× 68 0.3× 32 0.4× 152 2.4× 60 1.5k
Yingkao Hu China 23 1.4k 1.4× 870 1.2× 42 0.2× 62 0.8× 28 0.4× 48 1.7k
Rajtilak Majumdar United States 17 997 1.0× 609 0.9× 40 0.2× 37 0.5× 79 1.2× 33 1.2k
Rodnay Sormani France 17 1.5k 1.4× 1.1k 1.6× 41 0.2× 34 0.4× 64 1.0× 26 1.9k

Countries citing papers authored by Xiao‐Li Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Li Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Li Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Li Tan. A scholar is included among the top collaborators of Xiao‐Li Tan 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 Xiao‐Li Tan. Xiao‐Li Tan 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.
Zhang, Wei, Shao Li, Ziyu Li, et al.. (2025). The Glycosylation Status of Small Molecules Impacts Different Aspects of Plant Immunity. Physiologia Plantarum. 177(3). e70292–e70292. 2 indexed citations
2.
Karami, Abdulnasser Mahmoud, et al.. (2025). UiO-based platforms in biomedicine: Advanced nanovehicles for effective treatment. Materials Today Chemistry. 45. 102645–102645. 6 indexed citations
3.
Jiang, Yu, et al.. (2024). The BnaBPs gene regulates flowering time and leaf angle in Brassica napus. Plant Direct. 8(10). e70018–e70018. 3 indexed citations
4.
Ding, Lina, et al.. (2024). A GDSL motif-containing lipase modulates Sclerotinia sclerotiorum resistance in Brassica napus. PLANT PHYSIOLOGY. 196(4). 2973–2988. 27 indexed citations
5.
Jiang, Yu, et al.. (2024). Unraveling the Molecular Functions of Multifaced Plant‐Vacuolar Processing Enzymes. Physiologia Plantarum. 176(1). 1 indexed citations
6.
Geng, Rui, Lei Li, Chun‐Lin Shi, et al.. (2022). CRISPR-mediated BnaIDA editing prevents silique shattering, floral organ abscission, and spreading of Sclerotinia sclerotiorum in Brassica napus. Plant Communications. 3(6). 100452–100452. 18 indexed citations
7.
Zhu, Keming, et al.. (2022). DELLAs directed gibberellins responses orchestrate crop development: A brief review. Crop Science. 63(1). 1–28. 13 indexed citations
8.
Yang, Yanhua, Ningning Wang, Keming Zhu, et al.. (2021). Molecular Analysis Associated with Early Flowering Mutant in Brassica napus. Journal of Plant Biology. 64(3). 227–241. 1 indexed citations
9.
Li, Yulong, Keming Zhu, Lina Ding, et al.. (2021). Down-regulation of MANNANASE7 gene in Brassica napus L. enhances silique dehiscence-resistance. Plant Cell Reports. 40(2). 361–374. 19 indexed citations
10.
Zhu, Keming, Weiwei Zhang, Yanhua Yang, et al.. (2020). Proteomic analysis of a clavata-like phenotype mutant in Brassica napus. Genetics and Molecular Biology. 43(1). e20190305–e20190305. 1 indexed citations
11.
Wang, Zheng, Li Xiao, Fengyun Zhao, et al.. (2020). Genome-wide identification of the NPR1-like gene family in Brassica napus and functional characterization of BnaNPR1 in resistance to Sclerotinia sclerotiorum. Plant Cell Reports. 39(6). 709–722. 14 indexed citations
12.
Ding, Lina, et al.. (2020). Long-chain acyl-CoA synthetase 2 is involved in seed oil production in Brassica napus. BMC Plant Biology. 20(1). 21–21. 36 indexed citations
13.
Wang, Zheng, et al.. (2019). A Review of Plant Vacuoles: Formation, Located Proteins, and Functions. Plants. 8(9). 327–327. 68 indexed citations
14.
Ding, Lina, Ming Li, Xiaojuan Guo, et al.. (2019). Arabidopsis GDSL1 overexpression enhances rapeseed Sclerotinia sclerotiorum resistance and the functional identification of its homolog in Brassica napus. Plant Biotechnology Journal. 18(5). 1255–1270. 47 indexed citations
15.
Chen, Sheng, Ningning Wang, Rui Liu, et al.. (2016). Seed size of lateral branches-removed Brassica napus and its cytological mechanism. 32(4). 762. 1 indexed citations
16.
Zhang, Hao, et al.. (2016). Characterization of a Desiccation Stress Induced Lipase Gene from Brassica napusL.. Journal of Agricultural Science and Technology. 18(4). 1129–1141. 5 indexed citations
17.
Tan, Xiao‐Li, et al.. (2015). Cloning and Functional Characterization of a Fatty Acyl-Acyl Carrier Protein Thioesterase Gene (BnFatB) in Brassica napus L.. Journal of Agricultural Science and Technology. 17(4). 987–997. 6 indexed citations
18.
Tan, Xiao‐Li. (2013). The base composition and codon use of the WRKY gene family of the Brassica napus. Journal of Biology.
19.
Li, Juan, Xiao‐Li Tan, Lili Zhang, et al.. (2009). A new time-saving transformation system for Brassica napus. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(11). 2497–2502. 17 indexed citations
20.
Tan, Xiao‐Li, Wenxue Zhang, Jianhua Tian, & Dianrong Li. (1997). Selection and study on the rapeseed of apetalous line (Brassica napus L.). 26(3). 27–31. 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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