Li Gu

1.1k total citations
66 papers, 796 citations indexed

About

Li Gu is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Li Gu has authored 66 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 28 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Li Gu's work include Plant-Microbe Interactions and Immunity (13 papers), Plant Parasitism and Resistance (12 papers) and Allelopathy and phytotoxic interactions (9 papers). Li Gu is often cited by papers focused on Plant-Microbe Interactions and Immunity (13 papers), Plant Parasitism and Resistance (12 papers) and Allelopathy and phytotoxic interactions (9 papers). Li Gu collaborates with scholars based in China, South Korea and Australia. Li Gu's co-authors include Zhongyi Zhang, Chang Keun Sung, Hongxia Sun, Chunyan Wang, Mingjie Li, Zhe Fang, Chao Wang, Xin Liu, Fengqing Wang and Bao Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Li Gu

58 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Gu China 17 576 333 100 96 70 66 796
Qi-Li Mi China 13 371 0.6× 315 0.9× 74 0.7× 119 1.2× 30 0.4× 66 697
Lina Ding China 18 1.0k 1.7× 407 1.2× 194 1.9× 60 0.6× 32 0.5× 43 1.3k
Chunsheng Gao China 9 460 0.8× 231 0.7× 104 1.0× 30 0.3× 40 0.6× 15 672
Aly Raïes Tunisia 18 259 0.4× 273 0.8× 104 1.0× 57 0.6× 26 0.4× 37 755
Qingshan Xu China 15 412 0.7× 427 1.3× 38 0.4× 53 0.6× 30 0.4× 28 866
Koji Kakutani Japan 19 823 1.4× 190 0.6× 284 2.8× 220 2.3× 39 0.6× 85 1.1k
Yanfang Yang China 15 362 0.6× 593 1.8× 56 0.6× 37 0.4× 29 0.4× 37 865
Xiaoli Chang China 20 837 1.5× 273 0.8× 494 4.9× 75 0.8× 30 0.4× 66 1.1k

Countries citing papers authored by Li Gu

Since Specialization
Citations

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

Fields of papers citing papers by Li Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Gu. A scholar is included among the top collaborators of Li Gu 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 Gu. Li Gu 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
2.
Wang, Fengqing, Ci Song, Yajing Li, et al.. (2025). Analysis of the Rehmannia chingii genome identifies RcCYP72H7 as an epoxidase in iridoid glycoside biosynthesis. Nature Communications. 16(1). 6035–6035.
4.
Gu, Li, Shurong Li, Lichun Zhou, et al.. (2025). Ecophysiological and transcriptional landscapes of arbuscular mycorrhiza fungi enhancing yield, quality, and stalk rot resistance in Anoectochilus roxburghii. Plant Physiology and Biochemistry. 223. 109885–109885. 1 indexed citations
5.
Gu, Li, Shuang Yao, Jing Mu, et al.. (2024). Development of a TaqMan qPCR for the Simultaneous Detection of the TuMV and BBWV2 Viruses Responsible for the Viral Disease in Pseudostellaria heterophylla. Microorganisms. 12(12). 2663–2663. 1 indexed citations
6.
Zhang, Tingting, Lu Long, Mingjie Li, et al.. (2024). Non-destructive identification of Pseudostellaria heterophylla from different geographical origins by Vis/NIR and SWIR hyperspectral imaging techniques. Frontiers in Plant Science. 14. 1342970–1342970. 3 indexed citations
7.
Cui, Zhanhu, Mengzhi Li, Mingjie Li, et al.. (2024). Integrated multi-omics analysis reveals genes involved in flavonoid biosynthesis and trichome development of Artemisia argyi. Plant Science. 346. 112158–112158. 8 indexed citations
8.
Liu, Siyi, et al.. (2022). Identification of AP2/ERF transcription factors in Tetrastigma hemsleyanum revealed the specific roles of ERF46 under cold stress. Frontiers in Plant Science. 13. 936602–936602. 17 indexed citations
9.
Wang, Peng, Yan Shen, Xiaodan Xie, et al.. (2022). Effect of soil management systems on the rhizosphere bacterial community structure of tobacco: Continuous cropping vs. paddy-upland rotation. Frontiers in Plant Science. 13. 996858–996858. 18 indexed citations
10.
Gu, Li, et al.. (2020). Identification of MAPK Cascade Genes Response to Consecutive Monoculture Stress in Rehmannia glutinosa. International Journal of Agriculture and Biology. 24(3). 2 indexed citations
11.
Cui, Zhanhu, Chao Li, Zhe Li, et al.. (2020). Morphology, Distribution, Density and Chemical Composition of Glandular Trichomes in Artemisia argyi (Asteraceae). International Journal of Agriculture and Biology. 24(2).
12.
Zhang, Bao, Leslie A. Weston, Mingjie Li, et al.. (2020). Rehmannia glutinosa Replant Issues: Root Exudate-Rhizobiome Interactions Clearly Influence Replant Success. Frontiers in Microbiology. 11. 1413–1413. 24 indexed citations
13.
Gu, Li, Mingjie Li, Min Wang, et al.. (2020). Leaf Spot Disease Caused by Alternaria alternata on Rehmannia glutinosa in China. Plant Disease. 104(11). 3059–3059. 2 indexed citations
14.
Qin, Shuangshuang, Kunhua Wei, Zhanhu Cui, et al.. (2020). Comparative Genomics of Spatholobus suberectus and Insight Into Flavonoid Biosynthesis. Frontiers in Plant Science. 11. 528108–528108. 11 indexed citations
15.
Li, Mingjie, Yanhui Yang, Bao Zhang, et al.. (2017). Differential proteomic analysis of replanted Rehmannia glutinosa roots by iTRAQ reveals molecular mechanisms for formation of replant disease. BMC Plant Biology. 17(1). 116–116. 34 indexed citations
16.
Zhang, Bao, Mingjie Li, Fengqing Wang, et al.. (2017). Transcriptome analysis reveals metabolic alteration due to consecutive monoculture and abiotic stress stimuli in Rehamannia glutinosa Libosch. Plant Cell Reports. 36(6). 859–875. 16 indexed citations
17.
Li, Mingjie, Yanhui Yang, Xinyu Li, et al.. (2015). Analysis of integrated multiple ‘omics’ datasets reveals the mechanisms of initiation and determination in the formation of tuberous roots inRehmannia glutinosa. Journal of Experimental Botany. 66(19). 5837–5851. 25 indexed citations
18.
Begum, Shahnaz, et al.. (2014). Exogenous stimulation with Eclipta alba promotes hair matrix keratinocyte proliferation and downregulates TGF-β1 expression in nude mice. International Journal of Molecular Medicine. 35(2). 496–502. 27 indexed citations
19.
Wang, Chunyan, Zhen Wang, Zhe Fang, et al.. (2009). Attraction of Pinewood Nematode to Endoparasitic Nematophagous Fungus Esteya vermicola. Current Microbiology. 60(5). 387–392. 21 indexed citations
20.
Chen, Linjiao, et al.. (2005). Efficient callus induction and plant regeneration from anther of Chinese narcissus (Narcissus tazetta L. var. chinensis Roem). Plant Cell Reports. 24(7). 401–407. 22 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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