Jing Su

5.6k total citations
167 papers, 3.9k citations indexed

About

Jing Su is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Jing Su has authored 167 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 39 papers in Plant Science and 19 papers in Ecology. Recurrent topics in Jing Su's work include Genomics and Phylogenetic Studies (27 papers), Advanced biosensing and bioanalysis techniques (14 papers) and CRISPR and Genetic Engineering (11 papers). Jing Su is often cited by papers focused on Genomics and Phylogenetic Studies (27 papers), Advanced biosensing and bioanalysis techniques (14 papers) and CRISPR and Genetic Engineering (11 papers). Jing Su collaborates with scholars based in China, United States and United Kingdom. Jing Su's co-authors include Kemin Wang, Liyan Yu, Zhifeng Chen, Yonghong Wang, Yu‐Qin Zhang, Xiaoxiao He, Yongxiang Zhao, Thomas A. Down, Xiaoyuan Zhu and Genping Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Jing Su

158 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Su China 37 2.1k 933 575 341 241 167 3.9k
Allan Stensballe Denmark 36 3.3k 1.6× 657 0.7× 392 0.7× 269 0.8× 195 0.8× 150 5.5k
Fei Chen China 39 3.2k 1.6× 689 0.7× 303 0.5× 283 0.8× 376 1.6× 220 5.4k
Chen Yang China 29 2.2k 1.1× 846 0.9× 278 0.5× 507 1.5× 233 1.0× 72 4.3k
Brian D. Palmer New Zealand 46 2.5k 1.2× 559 0.6× 337 0.6× 640 1.9× 198 0.8× 146 6.9k
Peng Zhang China 40 2.6k 1.3× 1.4k 1.5× 320 0.6× 195 0.6× 131 0.5× 217 4.8k
Ana Varela Coelho Portugal 37 1.5k 0.7× 749 0.8× 203 0.4× 196 0.6× 179 0.7× 142 4.2k
Ge Liu China 34 2.4k 1.1× 696 0.7× 487 0.8× 375 1.1× 148 0.6× 127 4.7k
Ming Zheng China 20 3.4k 1.6× 401 0.4× 925 1.6× 145 0.4× 250 1.0× 35 4.7k
Rong Zhou China 41 1.8k 0.9× 2.6k 2.8× 436 0.8× 220 0.6× 151 0.6× 248 5.3k
Hao Zhang China 39 3.2k 1.6× 660 0.7× 1.2k 2.0× 194 0.6× 262 1.1× 387 6.6k

Countries citing papers authored by Jing Su

Since Specialization
Citations

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

Fields of papers citing papers by Jing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Su. A scholar is included among the top collaborators of Jing Su 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 Jing Su. Jing Su 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
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Song, Yingqiu, Jing Su, Shangbin Yang, et al.. (2024). PUF60 Promotes Chemoresistance Through Drug Efflux and Reducing Apoptosis in Gastric Cancer. International Journal of Medical Sciences. 22(2). 269–282. 2 indexed citations
5.
Jiang, Zhu‐ming, Tong Mou, Ye Sun, et al.. (2023). Environmental distribution and genomic characteristics of Solirubrobacter, with proposal of two novel species. Frontiers in Microbiology. 14. 1267771–1267771. 14 indexed citations
6.
Liu, Shuyan, Jing Su, Jinghua Li, et al.. (2023). Detection of methyltransferase activity and inhibitor screening based on rGO-mediated silver enhancement signal amplification strategy. Analytical Biochemistry. 674. 115207–115207.
7.
Zhu, Lingcheng, Rui Tian, Liang Wang, et al.. (2023). Genome-wide identification, characterization and evolutionary dynamic of invertase gene family in apple, and revealing its roles in cold tolerance. International Journal of Biological Macromolecules. 229. 766–777. 14 indexed citations
8.
Su, Jing, et al.. (2023). Sleep in psoriasis: A meta-analysis. Journal of Psychosomatic Research. 176. 111543–111543. 7 indexed citations
9.
Liu, Yi, Jing Su, Ruiting Li, et al.. (2023). Dual-AAV split prime editor corrects the mutation and phenotype in mice with inherited retinal degeneration. Signal Transduction and Targeted Therapy. 8(1). 57–57. 57 indexed citations
10.
Zhu, Lingcheng, Yanzhen Li, Zhiqi Wang, et al.. (2023). The SnRK2.3-AREB1-TST1/2 cascade activated by cytosolic glucose regulates sugar accumulation across tonoplasts in apple and tomato. Nature Plants. 9(6). 951–964. 49 indexed citations
11.
Yuan, Yangyang, Wenjing Chang, Wenfang Ma, et al.. (2023). Transcriptional repression of MdMa1 by MdMYB21 in Ma locus decreases malic acid content in apple fruit. The Plant Journal. 115(5). 1231–1242. 17 indexed citations
12.
Han, Jingluan, Kun Ma, Jing Su, et al.. (2022). All‐in‐one: a robust fluorescent fusion protein vector toolbox for protein localization and BiFC analyses in plants. Plant Biotechnology Journal. 20(6). 1098–1109. 20 indexed citations
13.
Su, Jing, Tiantian Jiao, Lingcheng Zhu, et al.. (2022). Calcyclin-binding protein-promoted degradation of MdFRUCTOKINASE2 regulates sugar homeostasis in apple. PLANT PHYSIOLOGY. 191(2). 1052–1065. 17 indexed citations
14.
Zhu, Lingcheng, et al.. (2022). Comprehensive identification of sugar transporters in the Malus spp. genomes reveals their potential functions in sugar accumulation in apple fruits. Scientia Horticulturae. 303. 111232–111232. 11 indexed citations
15.
Liu, Wan-Cang, Tao Zhang, Xu Pang, et al.. (2021). Development of a New Bioprocess for Clean Diosgenin Production through Submerged Fermentation of an Endophytic Fungus. ACS Omega. 6(14). 9537–9548. 8 indexed citations
16.
Ma, Wenfang, Baiyun Li, Rui Tian, et al.. (2021). Combined Profiling of Transcriptome and DNA Methylome Reveal Genes Involved in Accumulation of Soluble Sugars and Organic Acid in Apple Fruits. Foods. 10(9). 2198–2198. 22 indexed citations
17.
Liu, Wan-Cang, Joseph Shiloach, Tao Zhang, et al.. (2021). Efficient biocatalysis of trillin through recombinant enzyme hydrolysis for clean diosgenin production. Process Safety and Environmental Protection. 153. 107–116. 6 indexed citations
18.
Wang, Wenjuan, Jing Su, Jianyuan Yang, et al.. (2020). Dynamics of the Rice Blast Fungal Population in the Field After Deployment of an Improved Rice Variety Containing Known Resistance Genes. Plant Disease. 105(4). 919–928. 5 indexed citations
19.
Li, Liang, Wen J. Wang, Bing Chen, et al.. (2017). The rice cultivar Baixiangzhan harbours a recessive gene xa42(t) determining resistance against Xanthomonas oryzae pv. oryzae. Plant Breeding. 136(5). 603–609. 13 indexed citations
20.
Long, Yunming, Lifeng Zhao, Baixiao Niu, et al.. (2008). Hybrid male sterility in rice controlled by interaction between divergent alleles of two adjacent genes. Proceedings of the National Academy of Sciences. 105(48). 18871–18876. 216 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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