Yongsheng Liu

11.6k total citations · 1 hit paper
204 papers, 5.8k citations indexed

About

Yongsheng Liu is a scholar working on Plant Science, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yongsheng Liu has authored 204 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Plant Science, 109 papers in Molecular Biology and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yongsheng Liu's work include Plant Molecular Biology Research (42 papers), Plant Stress Responses and Tolerance (31 papers) and Plant Gene Expression Analysis (27 papers). Yongsheng Liu is often cited by papers focused on Plant Molecular Biology Research (42 papers), Plant Stress Responses and Tolerance (31 papers) and Plant Gene Expression Analysis (27 papers). Yongsheng Liu collaborates with scholars based in China, United States and France. Yongsheng Liu's co-authors include Xiangli Niu, Fangming Xiao, Shuqing Cao, Jim Giovannoni, Zhangjun Fei, Yongfeng Gao, Xiaofeng Tang, Hao-tai Chen, Shengxiong Huang and Ji‐Kai Liu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Yongsheng Liu

194 papers receiving 5.7k citations

Hit Papers

SlERF.F12 modulates the transition to ripening in tomato ... 2022 2026 2023 2024 2022 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
Yongsheng Liu China 41 3.9k 3.3k 484 245 235 204 5.8k
Daowen Wang China 44 5.5k 1.4× 3.3k 1.0× 89 0.2× 659 2.7× 79 0.3× 181 7.3k
A. Corina Vlot Germany 25 4.2k 1.1× 1.6k 0.5× 69 0.1× 81 0.3× 88 0.4× 43 5.0k
Brian E. Scheffler United States 46 4.0k 1.0× 2.2k 0.7× 139 0.3× 836 3.4× 27 0.1× 209 5.9k
Xiaohong Sun China 30 1.5k 0.4× 1.3k 0.4× 235 0.5× 162 0.7× 35 0.1× 116 3.3k
Yuko Ohashi Japan 49 6.9k 1.8× 5.0k 1.5× 134 0.3× 218 0.9× 68 0.3× 165 8.6k
Hao Chen China 34 1.9k 0.5× 1.7k 0.5× 100 0.2× 308 1.3× 62 0.3× 111 3.0k
Guangxiao Yang China 50 5.0k 1.3× 3.6k 1.1× 255 0.5× 385 1.6× 13 0.1× 191 7.3k
Tao Lin China 26 1.6k 0.4× 1.1k 0.3× 114 0.2× 664 2.7× 150 0.6× 52 2.7k
Eduard Belausov Israel 41 3.6k 0.9× 2.0k 0.6× 122 0.3× 144 0.6× 44 0.2× 128 5.4k
Antonio Molina Spain 57 11.2k 2.9× 5.8k 1.8× 111 0.2× 195 0.8× 94 0.4× 97 13.8k

Countries citing papers authored by Yongsheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yongsheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongsheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongsheng Liu. A scholar is included among the top collaborators of Yongsheng Liu 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 Yongsheng Liu. Yongsheng Liu 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.
Chen, Yao, Xin Wang, Vincent Colantonio, et al.. (2025). Ethylene response factor SlERF.D6 promotes ripening in part through transcription factors SlDEAR2 and SlTCP12. Proceedings of the National Academy of Sciences. 122(7). e2405894122–e2405894122. 1 indexed citations
2.
Li, Xiaobing, Xuemei Li, Li Wang, et al.. (2025). Identification of a novel SPTB gene splicing mutation in hereditary spherocytosis: a case report and diagnostic insights. Frontiers in Genetics. 15. 1522204–1522204.
4.
Liu, Yongsheng, Zhengxiang Wang, Jia Deng, et al.. (2024). Impact response of metastable body-centered cubic high-entropy alloy HfZrTiTa0.53: Deformation and spallation damage. Materials Science and Engineering A. 924. 147727–147727. 4 indexed citations
6.
Cao, Lei, Cheng Zhang, Tao Cheng, et al.. (2024). The MYC2 and MYB43 transcription factors cooperate to repress HMA2 and HMA4 expression, altering cadmium tolerance in Arabidopsis thaliana. Journal of Hazardous Materials. 479. 135703–135703. 10 indexed citations
9.
Deng, Heng, Yao Chen, Ziyu Liu, et al.. (2022). SlERF.F12 modulates the transition to ripening in tomato fruit by recruiting the co-repressor TOPLESS and histone deacetylases to repress key ripening genes. The Plant Cell. 34(4). 1250–1272. 136 indexed citations breakdown →
10.
Niu, Xiangli, Han Lü, Wenjie Wang, et al.. (2022). Manipulation of the transcription factor SlNAC1 for improved tolerance to abiotic stress in tomato. Plant Cell & Environment. 45(12). 3537–3550. 10 indexed citations
11.
Huang, Baoyu, Juan Dong, Lingling Li, et al.. (2021). A review on marine mollusk NF-κB/Rel studies in immunity and the characterization of a Chlamys farreri Rel gene. Aquaculture. 544. 737046–737046. 9 indexed citations
12.
Chen, Yao, Dan Su, Jie Li, et al.. (2020). Overexpression of bHLH95, a basic helix–loop–helix transcription factor family member, impacts trichome formation via regulating gibberellin biosynthesis in tomato. Journal of Experimental Botany. 71(12). 3450–3462. 54 indexed citations
13.
Li, Xuerui, Xiaoan Cao, Rui Wang, et al.. (2020). Viral adaption of staphylococcal phage: A genome-based analysis of the selective preference based on codon usage Bias. Genomics. 112(6). 4657–4665. 12 indexed citations
14.
Tang, Wei, et al.. (2020). First Report of Geotrichum candidum Causing Postharvest Sour Rot on Kiwifruits in China. Plant Disease. 105(5). 1566–1566. 5 indexed citations
15.
Wang, Lihuan, Wei Tang, Yawen Hu, et al.. (2019). A MYB/bHLH complex regulates tissue‐specific anthocyanin biosynthesis in the inner pericarp of red‐centered kiwifruit Actinidia chinensis cv. Hongyang. The Plant Journal. 99(2). 359–378. 169 indexed citations
16.
Powell, Ann L. T., Cuong Nguyen, Theresa Hill, et al.. (2012). Uniform ripening Encodes a Golden 2-like Transcription Factor Regulating Tomato Fruit Chloroplast Development. Science. 336(6089). 1711–1715. 363 indexed citations
17.
Ma, Li-na, Jie Zhang, Hao-tai Chen, et al.. (2011). An overview on ELISA techniques for FMD. Virology Journal. 8(1). 419–419. 55 indexed citations
18.
Gu, Yuan-xing, Jie Zhang, Jian-hua Zhou, et al.. (2011). Comparative Analysis of Ovine Adenovirus 287 and Human Adenovirus 2 and 5 Based on Their Codon Usage. DNA and Cell Biology. 31(3). 360–366. 1 indexed citations
19.
Liu, Yongsheng, et al.. (2002). Phylogenetic Analysis of Bacillus thuringiensis Based on PCR Amplified Fragment Polymorphisms of Flagellin Genes. Current Microbiology. 45(2). 139–143. 8 indexed citations
20.
Liu, Yongsheng. (2000). The explanation for phenotype variation by the action of scion Prunus japonica Thunb on stock Prunus armeniaca L.. 22(6). 401–402. 3 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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