Kai Song

2.6k total citations
75 papers, 1.9k citations indexed

About

Kai Song is a scholar working on Aquatic Science, Immunology and Ecology. According to data from OpenAlex, Kai Song has authored 75 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Aquatic Science, 44 papers in Immunology and 13 papers in Ecology. Recurrent topics in Kai Song's work include Aquaculture Nutrition and Growth (63 papers), Aquaculture disease management and microbiota (44 papers) and Aquatic life and conservation (14 papers). Kai Song is often cited by papers focused on Aquaculture Nutrition and Growth (63 papers), Aquaculture disease management and microbiota (44 papers) and Aquatic life and conservation (14 papers). Kai Song collaborates with scholars based in China, Czechia and United States. Kai Song's co-authors include Chunxiao Zhang, Kangle Lu, Samad Rahimnejad, Ling Wang, Yaru Wang, Kangsen Mai, Ling Wang, Ling Wang, Ling Wang and Yun‐Zhang Sun and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Kai Song

69 papers receiving 1.9k citations

Peers

Kai Song
Kai Song
Citations per year, relative to Kai Song Kai Song (= 1×) peers Xiaohui Dong

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
3.
Li, Xueshan, Ling Wang, Kai Song, et al.. (2025). Coenzyme Q10 mitigates high-fat-diet-induced hepatic steatosis in spotted bass (Lateolabrax maculatus) through modulating mitochondrial function. British Journal Of Nutrition. 133(8). 1032–1046.
5.
Wu, Weiqiang, Kangle Lu, Kai Song, et al.. (2024). Nitrogen and phosphorus budgets of the bullfrog (Aquarana catesbeiana) in different body weights. Aquaculture. 595. 741390–741390. 2 indexed citations
6.
Liu, Yongping, Jibin Lin, Kai Song, et al.. (2024). Effects of Dietary Supplementation of Bile Acids on Growth, Glucose Metabolism, and Intestinal Health of Spotted Seabass (Lateolabrax maculatus). Animals. 14(9). 1299–1299. 6 indexed citations
7.
Lu, Kangle, Kai Song, Mohamed Mohsen, et al.. (2024). Derivatives of postbiotics (cell wall constituents) from Bacillus subtilis (LCBS1) relieve soybean meal-induced enteritis in bullfrog (Aquarana catesbeianus). International Journal of Biological Macromolecules. 279(Pt 4). 135359–135359. 4 indexed citations
8.
Yang, Xin, Ling Wang, Kangle Lu, et al.. (2024). High temperature induces oxidative stress in spotted seabass (Lateolabrax maculatus) and leads to inflammation and apoptosis. Fish & Shellfish Immunology. 154. 109913–109913. 8 indexed citations
10.
Zhang, Chunxiao, et al.. (2023). Postbiotics of Bacillus subtilis LCBS1 have beneficial effects on bullfrogs (Lithobates catesbeianus). Aquaculture. 574. 739699–739699. 13 indexed citations
12.
Li, Xueshan, Kangle Lu, Kai Song, et al.. (2023). Optimal dietary protein level for the growth and metamorphosis of bullfrog (Lithobates catesbeianus) tadpoles. Aquaculture. 580. 740265–740265. 4 indexed citations
14.
Guo, Jiarong, Jibin Lin, Xueshan Li, et al.. (2023). Enhanced intestinal microflora composition and phosphorus-transportation efficiency in fast-growing spotted seabass (Lateolabrax maculatus) fed a low-phosphorus diet. Aquaculture. 577. 739916–739916. 10 indexed citations
16.
Meng, Jie, Kai Song, Chunyan Li, et al.. (2019). Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network. BMC Genomics. 20(1). 625–625. 38 indexed citations
17.
Rahimnejad, Samad, Kangle Lu, Ling Wang, et al.. (2018). Replacement of fish meal with Bacillus pumillus SE5 and Pseudozyma aphidis ZR1 fermented soybean meal in diets for Japanese seabass (Lateolabrax japonicus). Fish & Shellfish Immunology. 84. 987–997. 65 indexed citations
19.
Lu, Kangle, et al.. (2017). De novo assembly and characterization of seabass Lateolabrax japonicus transcriptome and expression of hepatic genes following different dietary phosphorus/calcium levels. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 24. 51–59. 12 indexed citations
20.
Yang, Wei, et al.. (2012). GLUCOSE TOLERANCE IN GROUPER (EPINPHELUS COIOIDES). Acta Hydrobiologica Sinica. 36(3). 563–568. 4 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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