Kaiyang Liu

692 total citations · 1 hit paper
26 papers, 430 citations indexed

About

Kaiyang Liu is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Kaiyang Liu has authored 26 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Kaiyang Liu's work include Mesenchymal stem cell research (10 papers), Insect and Pesticide Research (6 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Kaiyang Liu is often cited by papers focused on Mesenchymal stem cell research (10 papers), Insect and Pesticide Research (6 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Kaiyang Liu collaborates with scholars based in China, United States and France. Kaiyang Liu's co-authors include Junrong Cai, Feng Lu, Jingwei Feng, Shaolong Zhou, Feng Lu, Yunfan He, Minggui Gong, Jiangfeng Yuan, Bin Li and Guanghui Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Kaiyang Liu

23 papers receiving 430 citations

Hit Papers

Synergizing artificial intelligence and probiotics: A com... 2025 2026 2025 5 10 15

Peers

Kaiyang Liu
Yao Yao China
Takahiro Chino United States
Lauren H. Mangum United States
A.L. Clutterbuck United Kingdom
Miriam A.M. Loots Netherlands
Moon‐Jin Jeong South Korea
Rong Du China
Kaiyang Liu
Citations per year, relative to Kaiyang Liu Kaiyang Liu (= 1×) peers Mazlyzam Abdul Latif

Countries citing papers authored by Kaiyang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyang Liu. A scholar is included among the top collaborators of Kaiyang Liu 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 Kaiyang Liu. Kaiyang Liu 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, Yun, Meng Zhang, Kaiyang Liu, et al.. (2025). Synergizing artificial intelligence and probiotics: A comprehensive review of emerging applications in health promotion and industrial innovation. Trends in Food Science & Technology. 159. 104938–104938. 17 indexed citations breakdown →
2.
Liu, Kaiyang, Likui Wang, Xinyao Qiu, et al.. (2025). Role of mutation G255A in modulating pyrethroid sensitivity in insect sodium channels. International Journal of Biological Macromolecules. 295. 139455–139455. 3 indexed citations
3.
Xi, Yu, et al.. (2024). Rapid Identification of Tropical Important Mealybugs Based on a Multiplex PCR Assay. Agronomy. 14(12). 2786–2786.
5.
Zhang, Kun, et al.. (2024). Mutation V65I in the β1 Subunit of the Nicotinic Acetylcholine Receptor Confers Neonicotinoid and Sulfoxaflor Resistance in Insects. Journal of Agricultural and Food Chemistry. 72(11). 5671–5681. 13 indexed citations
6.
Li, Yibao, Yao Yao, Li J, et al.. (2023). Pathological characteristics of breast nodules after large‐volume fat grafting for breast augmentation. Journal of Cosmetic Dermatology. 22(12). 3387–3394. 1 indexed citations
7.
Yuan, Linlin, et al.. (2023). Functional diversity of voltage‐gated sodium channel in Drosophila suzukii (Matsumura). Pest Management Science. 80(2). 592–601.
8.
Liu, Kaiyang, Yunfan He, & Feng Lu. (2022). Research Progress on the Immunogenicity and Regeneration of Acellular Adipose Matrix: A Mini Review. Frontiers in Bioengineering and Biotechnology. 10. 881523–881523. 16 indexed citations
9.
Jin, Xiaoxuan, Yuchen Zhang, Xiangdong Zhang, et al.. (2021). An Adipose-Derived Injectable Sustained-Release Collagen Scaffold of Adipokines Prepared Through a Fast Mechanical Processing Technique for Preventing Skin Photoaging in Mice. Frontiers in Cell and Developmental Biology. 9. 722427–722427. 10 indexed citations
10.
Liu, Kaiyang, Yunfan He, Yao Yao, et al.. (2021). Methoxy polyethylene glycol modification promotes adipogenesis by inducing the production of regulatory T cells in xenogeneic acellular adipose matrix. Materials Today Bio. 12. 100161–100161. 19 indexed citations
11.
Zhang, Yuchen, Xiangdong Zhang, Xiaoxuan Jin, et al.. (2021). Adipose Collagen Fragment: A Novel Adipose-Derived Extracellular Matrix Concentrate for Skin Filling. Aesthetic Surgery Journal. 42(5). NP337–NP350. 7 indexed citations
12.
Gong, Minggui, et al.. (2020). Rhizoglomus intraradices Improves Plant Growth, Root Morphology and Phytohormone Balance of Robinia pseudoacacia in Arsenic-Contaminated Soils. Frontiers in Microbiology. 11. 1428–1428. 41 indexed citations
13.
Cai, Junrong, et al.. (2017). Macrophage infiltration regulates the adipose ECM reconstruction and the fibrosis process after fat grafting. Biochemical and Biophysical Research Communications. 490(2). 560–566. 33 indexed citations
14.
Cai, Junrong, Bin Li, Kaiyang Liu, et al.. (2017). Low-dose G-CSF improves fat graft retention by mobilizing endogenous stem cells and inducing angiogenesis, whereas high-dose G-CSF inhibits adipogenesis with prolonged inflammation and severe fibrosis. Biochemical and Biophysical Research Communications. 491(3). 662–667. 25 indexed citations
15.
Li, Bin, Jing Wang, Kaiyang Liu, et al.. (2017). Tamoxifen-Prefabricated Beige Adipose Tissue Improves Fat Graft Survival in Mice. Plastic & Reconstructive Surgery. 141(4). 930–940. 21 indexed citations
16.
Cai, Junrong, Jingwei Feng, Kaiyang Liu, Shaolong Zhou, & Feng Lu. (2017). Early Macrophage Infiltration Improves Fat Graft Survival by Inducing Angiogenesis and Hematopoietic Stem Cell Recruitment. Plastic & Reconstructive Surgery. 141(2). 376–386. 82 indexed citations
17.
Liu, Kaiyang, et al.. (2013). Complete genome sequencing and analysis of an anti-tumor Newcastle disease virus strain. Gene. 525(1). 47–57. 3 indexed citations
18.
Chen, Fang, Hongquan Zhang, Jun Zhu, et al.. (2012). Puerarin enhances superoxide dismutase activity and inhibits RAGE and VEGF expression in retinas of STZ–induced early diabetic rats. Asian Pacific Journal of Tropical Medicine. 5(11). 891–896. 30 indexed citations
19.
Yang, Jikuang, et al.. (2011). Finite Element Analysis of Lower Extremity Fractures in Vehicle-Pedestrian Collision. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
20.
Chen, Chaoqun, Chen Ding, Jyotika Sharma, et al.. (2006). The Hypothetical Protein CT813 Is Localized in theChlamydia trachomatisInclusion Membrane and Is Immunogenic in Women Urogenitally Infected withC. trachomatis. Infection and Immunity. 74(8). 4826–4840. 57 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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