Yi Song

2.8k total citations
48 papers, 1.9k citations indexed

About

Yi Song is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Yi Song has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 23 papers in Molecular Biology and 12 papers in Infectious Diseases. Recurrent topics in Yi Song's work include Antifungal resistance and susceptibility (11 papers), Plant-Microbe Interactions and Immunity (10 papers) and Plant Molecular Biology Research (10 papers). Yi Song is often cited by papers focused on Antifungal resistance and susceptibility (11 papers), Plant-Microbe Interactions and Immunity (10 papers) and Plant Molecular Biology Research (10 papers). Yi Song collaborates with scholars based in China, United States and Canada. Yi Song's co-authors include David R. Soll, Thyagarajan Srikantha, Nidhi Sahni, Karla J. Daniels, Guanghua Huang, Benke Kuai, Zhenghong Wang, Shan Gao, Claude Pujol and Lin Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yi Song

43 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Song China 23 983 972 708 513 170 48 1.9k
Jozef Nosek Slovakia 27 1.6k 1.6× 501 0.5× 501 0.7× 397 0.8× 145 0.9× 107 2.3k
Irene Castaño Mexico 24 1.3k 1.3× 378 0.4× 1.0k 1.5× 822 1.6× 124 0.7× 54 2.1k
Fang Cheng China 25 589 0.6× 1.1k 1.1× 854 1.2× 629 1.2× 52 0.3× 75 2.5k
Marcela Savoldi Brazil 24 1.4k 1.4× 668 0.7× 698 1.0× 417 0.8× 120 0.7× 50 2.2k
Martin Eisendle Austria 10 814 0.8× 684 0.7× 414 0.6× 182 0.4× 30 0.2× 10 1.6k
Jarrod R. Fortwendel United States 25 1.0k 1.0× 623 0.6× 1.0k 1.4× 568 1.1× 63 0.4× 57 2.0k
Toshiko Yamada‐Okabe Japan 20 773 0.8× 337 0.3× 399 0.6× 265 0.5× 44 0.3× 27 1.2k
Humberto Martı́n Spain 22 1.7k 1.8× 748 0.8× 192 0.3× 148 0.3× 107 0.6× 44 2.1k
Laijun Xing China 21 616 0.6× 168 0.2× 371 0.5× 183 0.4× 46 0.3× 69 1.1k
Víctor M. Baizabal‐Aguirre Mexico 23 739 0.8× 516 0.5× 109 0.2× 87 0.2× 196 1.2× 42 1.7k

Countries citing papers authored by Yi Song

Since Specialization
Citations

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

Fields of papers citing papers by Yi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Song. A scholar is included among the top collaborators of Yi Song 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 Yi Song. Yi Song 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.
Song, Yi, et al.. (2025). Analysis of flavor quality differences between LZ coffee and coffee based on untargeted metabolomics. Food Bioscience. 68. 106514–106514. 1 indexed citations
2.
Wang, Zhenghong, Xianli Tang, Yechun Hong, et al.. (2025). Comparative single-nucleus RNA-seq analysis revealed localized and cell type-specific pathways governing root-microbiome interactions. Nature Communications. 16(1). 3169–3169.
3.
Wang, Zhenghong, Zewen Li, Yujie Zhang, et al.. (2024). Root hair developmental regulators orchestrate drought triggered microbiome changes and the interaction with beneficial Rhizobiaceae. Nature Communications. 15(1). 10068–10068. 19 indexed citations
4.
5.
Shen, Xiaoxia, Chana Bao, Chen Liu, et al.. (2023). Mdm‐miR160–MdARF17–MdWRKY33 module mediates freezing tolerance in apple. The Plant Journal. 114(2). 262–278. 22 indexed citations
6.
Xin, Jian, Yichun Qiu, Yuzhu Wang, et al.. (2023). Structural insights into AtABCG25, an angiosperm-specific abscisic acid exporter. Plant Communications. 5(1). 100776–100776. 9 indexed citations
7.
8.
Wu, Lina, Yanmeng Li, Yi Song, et al.. (2020). A recurrent ABCC2 p.G693R mutation resulting in loss of function of MRP2 and hyperbilirubinemia in Dubin-Johnson syndrome in China. Orphanet Journal of Rare Diseases. 15(1). 74–74. 13 indexed citations
9.
Zhang, Jianjian, Jiong Gao, Zheng Zhu, et al.. (2020). MKK4/MKK5-MPK1/MPK2 cascade mediates SA-activated leaf senescence via phosphorylation of NPR1 in Arabidopsis. Plant Molecular Biology. 102(4-5). 463–475. 43 indexed citations
10.
Wang, Xiaolei, Jiong Gao, Shan Gao, et al.. (2019). The H3K27me3 demethylase REF6 promotes leaf senescence through directly activating major senescence regulatory and functional genes in Arabidopsis. PLoS Genetics. 15(4). e1008068–e1008068. 58 indexed citations
11.
Cecchini, Nicolás M., Yi Song, Suruchi Roychoudhry, Jean T. Greenberg, & Cara H. Haney. (2019). An Improved Bioassay to Study Arabidopsis Induced Systemic Resistance (ISR) Against Bacterial Pathogens and Insect Pests. BIO-PROTOCOL. 9(10). e3236–e3236. 6 indexed citations
12.
Song, Yi & Lin Li. (2018). Methods to Study Darkness-Induced Leaf Senescence. Methods in molecular biology. 1744. 135–140. 1 indexed citations
13.
Song, Yi, Zhe Zhang, Yufeng Jiang, et al.. (2016). Association of the molecular regulation of ear leaf senescence/stress response and photosynthesis/metabolism with heterosis at the reproductive stage in maize. Scientific Reports. 6(1). 29843–29843. 19 indexed citations
14.
Zhang, Bo, et al.. (2015). Alternative splicing of the AGAMOUS orthologous gene in double flower of Magnolia stellata (Magnoliaceae). Plant Science. 241. 277–285. 29 indexed citations
15.
Fisher, John T., Scott R. Tyler, Yulong Zhang, et al.. (2013). Bioelectric Characterization of Epithelia from Neonatal CFTR Knockout Ferrets. American Journal of Respiratory Cell and Molecular Biology. 49(5). 837–844. 24 indexed citations
16.
Fisher, John T., Xiaoming Liu, Ziying Yan, et al.. (2012). Comparative Processing and Function of Human and Ferret Cystic Fibrosis Transmembrane Conductance Regulator. Journal of Biological Chemistry. 287(26). 21673–21685. 25 indexed citations
17.
Sahni, Nidhi, Yi Song, Karla J. Daniels, et al.. (2010). Tec1 Mediates the Pheromone Response of the White Phenotype of Candida albicans: Insights into the Evolution of New Signal Transduction Pathways. PLoS Biology. 8(5). e1000363–e1000363. 73 indexed citations
18.
Sahni, Nidhi, Yi Song, Karla J. Daniels, et al.. (2009). Genes Selectively Up-Regulated by Pheromone in White Cells Are Involved in Biofilm Formation in Candida albicans. PLoS Pathogens. 5(10). e1000601–e1000601. 49 indexed citations
19.
Wessels, Deborah, Thyagarajan Srikantha, Yi Song, et al.. (2006). The Shwachman-Bodian-Diamond syndrome gene encodes an RNA-binding protein that localizes to the pseudopod of Dictyostelium amoebae during chemotaxis. Journal of Cell Science. 119(2). 370–379. 40 indexed citations
20.
Srikantha, Thyagarajan, Anthony R. Borneman, Karla J. Daniels, et al.. (2006). TOS9 Regulates White-Opaque Switching in Candida albicans. Eukaryotic Cell. 5(10). 1674–1687. 177 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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