Su Li

1.2k total citations · 1 hit paper
49 papers, 899 citations indexed

About

Su Li is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Su Li has authored 49 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 15 papers in Molecular Biology and 14 papers in Agronomy and Crop Science. Recurrent topics in Su Li's work include Animal Disease Management and Epidemiology (13 papers), Viral Infections and Immunology Research (11 papers) and Animal Virus Infections Studies (6 papers). Su Li is often cited by papers focused on Animal Disease Management and Epidemiology (13 papers), Viral Infections and Immunology Research (11 papers) and Animal Virus Infections Studies (6 papers). Su Li collaborates with scholars based in China, Canada and United States. Su Li's co-authors include Yuan Sun, Hua‐Ji Qiu, Yuzi Luo, Yongfeng Li, Lian‐Feng Li, Shaoxiong Yu, Tao Wang, Pingping Zhou, Xiao Wang and Hong Dong and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Journal of Virology.

In The Last Decade

Su Li

46 papers receiving 880 citations

Hit Papers

The A137R Protein of African Swine Fever Virus Inhibits T... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Li China 17 306 288 233 182 180 49 899
Yongfeng Li China 19 420 1.4× 289 1.0× 297 1.3× 278 1.5× 202 1.1× 62 1.1k
Haiwei Wang China 18 373 1.2× 166 0.6× 230 1.0× 385 2.1× 188 1.0× 91 926
Xinheng Zhang China 16 136 0.4× 76 0.3× 303 1.3× 78 0.4× 98 0.5× 66 866
Cristina Gómez Spain 15 182 0.6× 120 0.4× 345 1.5× 114 0.6× 136 0.8× 41 789
Ricardo A.A. Lemos Brazil 18 221 0.7× 174 0.6× 476 2.0× 16 0.1× 368 2.0× 106 1.1k
Kuan Zhao China 16 66 0.2× 418 1.5× 239 1.0× 95 0.5× 179 1.0× 71 1.0k
Bin Xiang China 17 113 0.4× 264 0.9× 236 1.0× 25 0.1× 36 0.2× 53 787
François Lefèvre France 12 65 0.2× 203 0.7× 278 1.2× 25 0.1× 90 0.5× 19 666

Countries citing papers authored by Su Li

Since Specialization
Citations

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

Fields of papers citing papers by Su Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Li

This figure shows the co-authorship network connecting the top 25 collaborators of Su Li. A scholar is included among the top collaborators of Su 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 Su Li. Su 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.
Li, Su, Yangyang Wang, Wen-Jia Chen, et al.. (2025). Development and validation a methodology model for traditional Chinese medicine good practice recommendation: an exploratory sequential mixed methods study. Frontiers in Pharmacology. 16. 1501634–1501634.
2.
Li, Su, Hongyue Chen, Yan Fan, et al.. (2025). Profiling the full-length transcriptome of plasma cell mastitis via nanopore sequencing. BMC Genomic Data. 26(1). 29–29.
3.
Chen, Yue, Ling Wang, Yun Gao, et al.. (2023). Determination of the Dissipation Dynamics and Terminal Residue of Bupirimate and Its Metabolites in Cucumber by QuEChERS-Based UPLC-MS/MS. ACS Omega. 8(26). 23975–23981. 3 indexed citations
4.
Zhao, Qilong, Yu Jiang, Qian Zhao, et al.. (2023). The benefits of edible mushroom polysaccharides for health and their influence on gut microbiota: a review. Frontiers in Nutrition. 10. 1213010–1213010. 25 indexed citations
5.
Li, Su, et al.. (2023). Different UV-B exposure times induce phenotypic, transcriptomic, and proteomic changes in wine grape leaves. Plant Stress. 10. 100210–100210. 3 indexed citations
6.
Long, Jianxiong, et al.. (2023). Bioinformatics analysis based on high-throughput sequencing data to identify hub genes related to different clinical types of COVID-19. Functional & Integrative Genomics. 23(1). 71–71. 6 indexed citations
7.
Gong, Jian Ping, Yang Wang, Zhen Liang, et al.. (2022). How parental smartphone addiction affects adolescent smartphone addiction: The effect of the parent-child relationship and parental bonding. Journal of Affective Disorders. 307. 271–277. 42 indexed citations
9.
Luo, Yuzi, Li Zhang, Pengying Wang, et al.. (2021). Genotyping and Molecular Characterization of Classical Swine Fever Virus Isolated in China during 2016–2018. Viruses. 13(4). 664–664. 18 indexed citations
10.
Xu, Tengfei, Xiaowei Wang, Hui Ma, et al.. (2021). Functional Characterization of VDACs in Grape and Its Putative Role in Response to Pathogen Stress. Frontiers in Plant Science. 12. 670505–670505. 6 indexed citations
11.
Luo, Lifen, Lei Yang, Bingbing Jiang, et al.. (2020). Ginsenosides in root exudates of Panax notoginseng drive the change of soil microbiota through carbon source different utilization. Plant and Soil. 455(1-2). 139–153. 58 indexed citations
12.
Zhang, Shunliang, et al.. (2018). Effect of starter culture mixture of Staphylococcus xylosus and S. carnosus on the quality of dry-cured meat.. Shipin Kexue / Food Science. 39(22). 32–38. 4 indexed citations
13.
Howard, Susanne, et al.. (2018). A Natural Reservoir and Transmission Vector of Grapevine Vein Clearing Virus. Plant Disease. 103(3). 571–577. 14 indexed citations
14.
Wang, Jinghan, Yuan Sun, Lian‐Feng Li, et al.. (2018). Comprehensive evaluation of the host responses to infection with differentially virulent classical swine fever virus strains in pigs. Virus Research. 255. 68–76. 14 indexed citations
15.
Wang, Xiao, Yongfeng Li, Lian‐Feng Li, et al.. (2016). RNA interference screening of interferon-stimulated genes with antiviral activities against classical swine fever virus using a reporter virus. Antiviral Research. 128. 49–56. 14 indexed citations
16.
Li, Su, et al.. (2015). The complete nucleotide sequence and genome organization of pea streak virus (genus Carlavirus). Archives of Virology. 160(10). 2651–2654. 6 indexed citations
17.
Chen, Jianing, Wen-Rui He, Liang Shen, et al.. (2015). The Laminin Receptor Is a Cellular Attachment Receptor for Classical Swine Fever Virus. Journal of Virology. 89(9). 4894–4906. 61 indexed citations
18.
Bhagwat, Basdeo, Ming Chi, Su Li, et al.. (2013). An in vivo Transient Expression System Can Be Applied for Rapid and Effective Selection of Artificial MicroRNA Constructs for Plant Stable Genetic Transformation. Journal of genetics and genomics. 40(5). 261–270. 16 indexed citations
19.
Li, Dan, Su Li, Yuan Sun, et al.. (2012). Poly(C)-Binding Protein 1, a Novel N pro -Interacting Protein Involved in Classical Swine Fever Virus Growth. Journal of Virology. 87(4). 2072–2080. 20 indexed citations
20.
Li, Su. (2006). A Study on Species Diversity in Undergrowth Vegetation of Four Plantations at Yulin,Guangxi. 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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