Kai Song

2.0k total citations
50 papers, 1.5k citations indexed

About

Kai Song is a scholar working on Molecular Biology, Mechanical Engineering and Plant Science. According to data from OpenAlex, Kai Song has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Mechanical Engineering and 10 papers in Plant Science. Recurrent topics in Kai Song's work include Plant-Microbe Interactions and Immunity (9 papers), Plant Pathogenic Bacteria Studies (7 papers) and Cellular and Composite Structures (5 papers). Kai Song is often cited by papers focused on Plant-Microbe Interactions and Immunity (9 papers), Plant Pathogenic Bacteria Studies (7 papers) and Cellular and Composite Structures (5 papers). Kai Song collaborates with scholars based in China, United States and Malaysia. Kai Song's co-authors include Zhen Wang, Xingyue Sun, Xu Chen, Guangyong Sun, Qing Li, Feng Yan, Kun Zhou, Liang Gao, Shouwen Shi and Qing Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kai Song

47 papers receiving 1.5k citations

Peers

Kai Song
Sung‐Il Kim South Korea
George Y. Baaklini United States
Mark T. Smith United States
Jiabin Lu China
Kai Song
Citations per year, relative to Kai Song Kai Song (= 1×) peers Zengshan Li

Countries citing papers authored by Kai Song

Since Specialization
Citations

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

Fields of papers citing papers by Kai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Song. A scholar is included among the top collaborators of Kai 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 Kai Song. Kai 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.
Xie, Wei, et al.. (2025). Lateral compression optimization of bioinspired composite sandwich structures. Construction and Building Materials. 502. 144433–144433.
2.
He, Ya‐Wen, Jodi Woan‐Fei Law, Wenhua Hu, et al.. (2025). Identification and genomic analyses of a novel actinobacterium Streptomyces shaowuensis sp. nov. with biocontrol potential for rice bacterial blight. Phytopathology Research. 7(1). 1 indexed citations
3.
4.
Chen, Bo, Lian Zhou, Kai Song, Chitti Thawai, & Ya‐Wen He. (2024). Host plant-derived benzoic acid interferes with 4-hydroxybenzoic acid degradation in the phytopathogen Xanthomonas campestris by competitively binding to PobR. Phytopathology Research. 6(1). 1 indexed citations
6.
Zhou, Wenqi, Kai Song, Xiaobo Sun, et al.. (2023). Design Optimization and Mechanism Analysis of Water Jet-Type Inter-Plant Weeding Device for Water Fields. Agronomy. 13(5). 1305–1305. 2 indexed citations
7.
Cui, Ying, et al.. (2023). Fructose promotes pyoluteorin biosynthesis via the CbrAB-CrcZ-Hfq/Crc pathway in the biocontrol strain Pseudomonas PA1201. Synthetic and Systems Biotechnology. 8(4). 618–628. 2 indexed citations
8.
Zhou, Wenqi, Kai Song, Jinwu Wang, et al.. (2023). Bionic Optimization Design and Discrete Element Experimental Design of Carrot Combine Harvester Ripping Shovel. Processes. 11(5). 1526–1526. 9 indexed citations
11.
Song, Kai, et al.. (2022). Exosomes from tendon derived stem cells promote tendon repair through miR-144-3p-regulated tenocyte proliferation and migration. Stem Cell Research & Therapy. 13(1). 80–80. 42 indexed citations
12.
Li, Bing, Chuanbo Zhang, Kai Song, & Wenyu Lü. (2021). Research Progress in Biosynthesis of Rare Ginsenosides. Zhongguo shengwu gongcheng zazhi. 41(6). 71–88. 3 indexed citations
14.
15.
Chen, Hui, et al.. (2018). BDSF Is the Predominant In-Planta Quorum-Sensing Signal Used During Xanthomonas campestris Infection and Pathogenesis in Chinese Cabbage. Molecular Plant-Microbe Interactions. 32(2). 240–254. 9 indexed citations
17.
Astarita, Jillian L., Viviana Cremasco, Jianxin Fu, et al.. (2014). The CLEC-2–podoplanin axis controls the contractility of fibroblastic reticular cells and lymph node microarchitecture. Nature Immunology. 16(1). 75–84. 202 indexed citations
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Song, Kai, et al.. (2012). Tumor necrosis factor-α enhanced fusions between oral squamous cell carcinoma cells and endothelial cells via VCAM-1/VLA-4 pathway. Experimental Cell Research. 318(14). 1707–1715. 43 indexed citations
20.
Song, Kai, Qin Li, Zhenzhen Jiang, Chaowei Guo, & Ping Li. (2011). Heparan sulfate D-glucosaminyl 3-O-sulfotransferase-3B1, a novel epithelial-mesenchymal transition inducer in pancreatic cancer. Cancer Biology & Therapy. 12(5). 388–398. 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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