Ran Li

5.9k total citations · 1 hit paper
146 papers, 4.2k citations indexed

About

Ran Li is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Ran Li has authored 146 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Plant Science, 50 papers in Molecular Biology and 43 papers in Insect Science. Recurrent topics in Ran Li's work include Insect-Plant Interactions and Control (37 papers), Plant Parasitism and Resistance (28 papers) and Plant-Microbe Interactions and Immunity (28 papers). Ran Li is often cited by papers focused on Insect-Plant Interactions and Control (37 papers), Plant Parasitism and Resistance (28 papers) and Plant-Microbe Interactions and Immunity (28 papers). Ran Li collaborates with scholars based in China, United States and Germany. Ran Li's co-authors include Yonggen Lou, Ian T. Baldwin, Hansong Cheng, Guoqin Xu, Zhangxian Chen, Wanchao Li, Yunfeng Zhang, Jiancai Li, Anding Zhang and Huanchun Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ran Li

138 papers receiving 4.2k citations

Hit Papers

Molecular dissection of rice phytohormone signaling invol... 2021 2026 2022 2024 2021 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
Ran Li China 40 2.3k 1.4k 1.0k 313 283 146 4.2k
Karin Thevissen Belgium 51 2.3k 1.0× 5.6k 3.9× 502 0.5× 187 0.6× 76 0.3× 137 8.7k
Xiaohong Sun China 30 1.5k 0.6× 1.3k 0.9× 188 0.2× 164 0.5× 203 0.7× 116 3.3k
Marı́a Cristina Añón Argentina 54 1.8k 0.8× 2.1k 1.4× 607 0.6× 97 0.3× 277 1.0× 255 9.0k
Admilton Gonçalves de Oliveira Brazil 27 704 0.3× 446 0.3× 186 0.2× 93 0.3× 89 0.3× 98 2.6k
Nicholi Vorsa United States 38 2.3k 1.0× 1.7k 1.1× 305 0.3× 341 1.1× 112 0.4× 155 4.8k
Sang‐Chul Shin South Korea 37 1.6k 0.7× 529 0.4× 916 0.9× 277 0.9× 155 0.5× 158 4.0k
Tao Li China 27 404 0.2× 1.4k 1.0× 237 0.2× 99 0.3× 80 0.3× 223 3.2k
Yue Xie China 26 776 0.3× 1.1k 0.8× 159 0.2× 160 0.5× 87 0.3× 195 3.0k
Eduardo Alves Brazil 30 2.1k 0.9× 944 0.7× 214 0.2× 210 0.7× 150 0.5× 185 3.4k
Yàn Liú China 33 1.8k 0.8× 1.2k 0.8× 398 0.4× 110 0.4× 56 0.2× 179 3.3k

Countries citing papers authored by Ran Li

Since Specialization
Citations

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

Fields of papers citing papers by Ran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Li. A scholar is included among the top collaborators of Ran Li 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 Ran Li. Ran Li 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.
Wu, Siwen, Yi Gan, Jing Lü, et al.. (2025). A jasmonate‐mediated MAPK cascade regulates rice structural defense against brown planthoppers. New Phytologist. 248(6). 3280–3296.
2.
Liu, Mengyu, Hui‐Jing Li, Siwen Wu, et al.. (2025). The MYC2JAMYB transcriptional cascade regulates rice resistance to brown planthoppers. New Phytologist. 246(4). 1834–1847. 3 indexed citations
3.
Liu, Zhiyong, Lan Hu, Hongyu Sun, et al.. (2025). Sequence homology between sex chromosomes leads to apparent heterozygosity at the DYS572 locus in massively parallel sequencing. International Journal of Legal Medicine. 140(2). 739–744.
4.
Wang, Xiao, Qian Tan, Xingrui Gong, et al.. (2025). Transcriptomic Profiling Reveals Regulatory Pathways of Tomato in Resistance to Verticillium Wilt Triggered by VdR3e. Plants. 14(8). 1243–1243.
5.
Hui, Teng, Qianqian Li, Zhengfeng Fang, et al.. (2024). Sensory qualities markers of n-3 PUFA enriched fresh pork meat fattened by linseed oil and selenium methionine. Food Chemistry. 464(Pt 3). 141832–141832. 1 indexed citations
6.
Zhang, Jing, Peng Kuai, Jingli Cheng, et al.. (2024). Jasmonate‐mediated polyamine oxidase 6 drives herbivore‐induced polyamine catabolism in rice. The Plant Journal. 120(5). 2000–2013. 2 indexed citations
7.
Wang, Dan, Dandan Zhang, Ran Li, et al.. (2023). Insights into the Biocontrol Function of a Burkholderia gladioli Strain against Botrytis cinerea. Microbiology Spectrum. 11(2). e0480522–e0480522. 21 indexed citations
8.
Song, Jian, Jieyin Chen, Dandan Zhang, et al.. (2023). Genome Resource of Bacillus subtilis KRS015, a Potential Biocontrol Agent for Verticillium dahliae. SHILAP Revista de lepidopterología. 4(3). 443–448. 4 indexed citations
9.
Qi, Jinfeng, et al.. (2023). Jasmonate-mediated gibberellin catabolism constrains growth during herbivore attack in rice. The Plant Cell. 35(10). 3828–3844. 45 indexed citations
10.
Zhang, Dandan, Ran Li, He Zhu, et al.. (2023). Genome Sequence Resource of Burkholderia gladioli KRS027: A Strain with Antifungal Activity Against Plant Pathogens. SHILAP Revista de lepidopterología. 3(4). 874–878. 1 indexed citations
11.
Li, Ran, Yongjun Zhang, He Zhu, et al.. (2023). Genome-wide identification and analysis of a cotton secretome reveals its role in resistance against Verticillium dahliae. BMC Biology. 21(1). 166–166. 7 indexed citations
12.
Song, Jian, Dan Wang, Dongfei Han, et al.. (2023). Characterization of the Endophytic Bacillus subtilis KRS015 Strain for Its Biocontrol Efficacy Against Verticillium dahliae. Phytopathology. 114(1). 61–72. 10 indexed citations
13.
Li, Ran, et al.. (2023). Therapeutic potential of Litsea cubeba essential oil in modulating inflammation and the gut microbiome. Frontiers in Microbiology. 14. 1233934–1233934. 12 indexed citations
14.
Wang, Dan, Dandan Zhang, Jian Song, et al.. (2022). Verticillium dahliae CFEM proteins manipulate host immunity and differentially contribute to virulence. BMC Biology. 20(1). 55–55. 43 indexed citations
15.
Liu, Rongdiao, Ran Li, Yuhua Xue, et al.. (2022). Poly(ADP-ribosylation) of P-TEFb by PARP1 disrupts phase separation to inhibit global transcription after DNA damage. Nature Cell Biology. 24(4). 513–525. 54 indexed citations
16.
Wang, Dan, Jieyin Chen, Jian Song, et al.. (2021). Cytotoxic function of xylanase VdXyn4 in the plant vascular wilt pathogen Verticillium dahliae. PLANT PHYSIOLOGY. 187(1). 409–429. 43 indexed citations
17.
Song, Jian, Zhiqiang Kong, Dandan Zhang, et al.. (2021). Rhizosphere Microbiomes of Potato Cultivated under Bacillus subtilis Treatment Influence the Quality of Potato Tubers. International Journal of Molecular Sciences. 22(21). 12065–12065. 16 indexed citations
18.
Liu, Lin, Dandan Zhang, Yuanyuan Zhang, et al.. (2021). Biological Characteristics of Verticillium dahliae MAT1-1 and MAT1-2 Strains. International Journal of Molecular Sciences. 22(13). 7148–7148. 7 indexed citations
20.
Guo, Han, Nathalie D. Lackus, Tobias G. Köllner, et al.. (2019). Evolution of a Novel and Adaptive Floral Scent in Wild Tobacco. Molecular Biology and Evolution. 37(4). 1090–1099. 14 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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