Kuo Liu

3.8k total citations · 4 hit papers
97 papers, 2.0k citations indexed

About

Kuo Liu is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kuo Liu has authored 97 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 18 papers in Surgery and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kuo Liu's work include Congenital heart defects research (12 papers), Hormonal Regulation and Hypertension (11 papers) and Sodium Intake and Health (9 papers). Kuo Liu is often cited by papers focused on Congenital heart defects research (12 papers), Hormonal Regulation and Hypertension (11 papers) and Sodium Intake and Health (9 papers). Kuo Liu collaborates with scholars based in China, United States and Hong Kong. Kuo Liu's co-authors include Bin Zhou, Lingjuan He, Hengwei Jin, Huan Zhu, Ximeng Han, Wenjuan Pu, Qiaozhen Liu, Muxue Tang, Xiuzhen Huang and Hongbin Ji and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kuo Liu

91 papers receiving 1.9k citations

Hit Papers

Bi-directional differentiation of single bronchioalveolar... 2020 2026 2022 2024 2020 2021 2023 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo Liu China 22 794 342 239 198 192 97 2.0k
Mingjie Wang China 22 747 0.9× 192 0.6× 115 0.5× 237 1.2× 139 0.7× 96 1.7k
Lixin Zhou China 26 574 0.7× 278 0.8× 198 0.8× 665 3.4× 96 0.5× 146 2.7k
Fei Liang China 24 586 0.7× 564 1.6× 247 1.0× 140 0.7× 89 0.5× 151 2.4k
Patricia B. Maguire Ireland 23 1.0k 1.3× 263 0.8× 417 1.7× 199 1.0× 41 0.2× 85 2.6k
Masahiro Ito Japan 32 1.4k 1.7× 506 1.5× 645 2.7× 297 1.5× 165 0.9× 128 3.4k
Jing Zeng China 24 490 0.6× 125 0.4× 104 0.4× 282 1.4× 92 0.5× 117 1.6k
Laurence Bonhomme‐Faivre France 23 582 0.7× 166 0.5× 197 0.8× 143 0.7× 139 0.7× 77 1.6k
Qin Qin China 21 470 0.6× 277 0.8× 127 0.5× 222 1.1× 104 0.5× 72 1.5k
Yuan Li Shen China 26 657 0.8× 162 0.5× 82 0.3× 220 1.1× 139 0.7× 75 2.6k

Countries citing papers authored by Kuo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo Liu. A scholar is included among the top collaborators of Kuo 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 Kuo Liu. Kuo 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.
Yao, Yao, et al.. (2025). An Optimization Strategy for High-Energy, Few-Cycle Pulse Generation Directly From Er-Doped Mamyshev Oscillators. Journal of Lightwave Technology. 43(19). 9432–9441.
2.
Huang, Xiuzhen, Huan Zhao, Zixin Liu, et al.. (2025). Ductal or Ngn3+ cells do not contribute to adult pancreatic islet beta-cell neogenesis in homeostasis. The EMBO Journal. 44(10). 2856–2881.
3.
Guo, Wangxin, Pengfei Shao, Chao Liang, et al.. (2024). JAK/STAT signaling maintains an intermediate cell population during prostate basal cell fate determination. Nature Genetics. 56(12). 2776–2789. 5 indexed citations
5.
Wang, Fei, Guodong Deng, Ning Liang, et al.. (2023). Serum ferritin level is an effective prognostic factor for lung cancer immunotherapy. Cancer Biology & Therapy. 24(1). 2285367–2285367. 3 indexed citations
6.
Peng, Wenjuan, Yunyi Xie, Juan Xia, et al.. (2023). Integrated analysis of the lncRNA-associated competing endogenous RNA network in salt sensitivity of blood pressure. Heliyon. 9(12). e22466–e22466.
7.
Li, Bingxiao, Kuo Liu, Yunyi Xie, et al.. (2023). The mediation effect of lipids, blood pressure and BMI between air pollutant mixture and atherosclerotic cardiovascular disease: The CHCN-BTH cohort study. Ecotoxicology and Environmental Safety. 264. 115491–115491. 11 indexed citations
8.
Liu, Kuo, Muxue Tang, Wei Xu, et al.. (2023). An inducible hACE2 transgenic mouse model recapitulates SARS-CoV-2 infection and pathogenesis in vivo. Proceedings of the National Academy of Sciences. 120(25). e2207210120–e2207210120. 3 indexed citations
9.
Zhao, Huan, Zixin Liu, Kuo Liu, et al.. (2022). Monitoring of cell-cell communication and contact history in mammals. Science. 378(6623). eabo5503–eabo5503. 54 indexed citations
10.
Li, Bingxiao, Han Cao, Kuo Liu, et al.. (2022). Associations of long-term ambient air pollution and traffic-related pollution with blood pressure and hypertension defined by the different guidelines worldwide: the CHCN-BTH study. Environmental Science and Pollution Research. 29(42). 63057–63070. 4 indexed citations
11.
Guo, Chunyue, Han Cao, Kuo Liu, et al.. (2021). Impact of lipoprotein(a) level on cardiometabolic disease in the Chinese population: The CHCN‐BTH Study. European Journal of Clinical Investigation. 52(2). e13689–e13689. 7 indexed citations
12.
Xie, Yunyi, Zheng Liu, Kuo Liu, et al.. (2021). Polymorphisms of microRNAs are associated with salt sensitivity in a Han Chinese population: the EpiSS study. Journal of Human Hypertension. 36(2). 171–183. 1 indexed citations
13.
Peng, Wenjuan, Yunyi Xie, Bingxiao Li, et al.. (2021). Association of Circulating Biomarkers of lnc-IGSF3-1:1, SCOC-AS1, and SLC8A1-AS1 with Salt Sensitivity of Blood Pressure in Chinese Population. Journal of Cardiovascular Translational Research. 15(4). 906–917. 8 indexed citations
14.
Liu, Kuo, Han Cao, Bingxiao Li, et al.. (2021). Long-term exposure to ambient nitrogen dioxide and ozone modifies systematic low-grade inflammation: The CHCN-BTH study. International Journal of Hygiene and Environmental Health. 239. 113875–113875. 10 indexed citations
15.
Peng, Wenjuan, Yunyi Xie, Kuo Liu, et al.. (2020). Discrepant acute effect of saline loading on blood pressure, urinary sodium and potassium according to salt intake level: EpiSS study. Journal of Clinical Hypertension. 23(2). 289–300. 1 indexed citations
16.
Liu, Kuo, Bo Xi, Zheng Liu, et al.. (2020). Genetic Predisposition and Salt Sensitivity in a Chinese Han Population: The EpiSS Study. International Journal of Hypertension. 2020. 1–8. 5 indexed citations
17.
Yu, Wei, Xueyan Ma, Jinjin Xu, et al.. (2019). VGLL4 plays a critical role in heart valve development and homeostasis. PLoS Genetics. 15(2). e1007977–e1007977. 45 indexed citations
18.
Sun, Kexin, Xiao Xiang, Juan Juan, et al.. (2019). Identification of Novel CXCL12 Genetic Polymorphisms Associated with Type 2 Diabetes Mellitus: A Chinese Sib-Pair Study. Genetic Testing and Molecular Biomarkers. 23(7). 435–441. 5 indexed citations
20.
Chen, Li, Ke Sun, Juan Juan, et al.. (2017). CDH13 Genetic Polymorphisms, Adiponectin and Ischemic Stroke: a Chinese Family-based Sib-pair Study.. PubMed. 30(1). 35–43. 5 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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