Liyao Fu

834 total citations
21 papers, 454 citations indexed

About

Liyao Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Liyao Fu has authored 21 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Molecular Biology. Recurrent topics in Liyao Fu's work include Diabetes Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Liyao Fu is often cited by papers focused on Diabetes Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Liyao Fu collaborates with scholars based in China and Finland. Liyao Fu's co-authors include Shi Tai, Ningjie Zhang, Zhenhua Xing, Yongjun Wang, Ying Zhou, Yang Feng, Jiaxing Sun, Yongjun Wang, Shenghua Zhou and Zhaowei Zhu and has published in prestigious journals such as Diabetes Care, Frontiers in Immunology and Pattern Recognition.

In The Last Decade

Liyao Fu

20 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyao Fu China 11 151 135 88 71 71 21 454
Julia Moellmann Germany 12 165 1.1× 137 1.0× 169 1.9× 126 1.8× 53 0.7× 29 515
Yusheng Pang China 14 40 0.3× 136 1.0× 170 1.9× 98 1.4× 81 1.1× 49 499
Yechen Han China 8 128 0.8× 57 0.4× 130 1.5× 78 1.1× 22 0.3× 16 340
Takaaki Sato Japan 15 162 1.1× 92 0.7× 62 0.7× 129 1.8× 99 1.4× 50 572
Xiaobo Ding China 9 168 1.1× 154 1.1× 64 0.7× 84 1.2× 130 1.8× 50 509
Makoto Hirose Japan 13 45 0.3× 175 1.3× 46 0.5× 166 2.3× 31 0.4× 50 475
Yuta Sato Japan 15 60 0.4× 246 1.8× 89 1.0× 274 3.9× 105 1.5× 98 699
Christian Zellner United States 11 143 0.9× 167 1.2× 105 1.2× 192 2.7× 55 0.8× 22 542
Ka Hou Christien Li China 16 78 0.5× 504 3.7× 153 1.7× 153 2.2× 71 1.0× 33 820

Countries citing papers authored by Liyao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Liyao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyao Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Liyao Fu. A scholar is included among the top collaborators of Liyao Fu 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 Liyao Fu. Liyao Fu 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.
Yin, Hongxia, Zhongxin Li, Liyao Fu, & Tao Chen. (2024). Research on Network Intrusion Detection Technology Based on Artificial Intelligence. 2(5).
2.
Fu, Liyao, et al.. (2024). SSTrans-Net: Smart Swin Transformer Network for medical image segmentation. Biomedical Signal Processing and Control. 91. 106071–106071. 30 indexed citations
3.
Xing, Zhenhua, et al.. (2024). Cumulative blood pressure predicts risk of stroke in individuals with type 2 diabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 18(3). 102988–102988. 2 indexed citations
4.
Zhang, Quan, et al.. (2024). Aberrant STING activation promotes macrophage senescence by suppressing autophagy in vascular aging from diabetes. iScience. 28(1). 111594–111594. 6 indexed citations
5.
Liu, Yang, et al.. (2024). Multi-consistency for semi-supervised medical image segmentation via diffusion models. Pattern Recognition. 161. 111216–111216. 9 indexed citations
6.
Zhou, Ying, Shi Tai, Ningjie Zhang, Liyao Fu, & Yongjun Wang. (2023). Dapagliflozin prevents oxidative stress-induced endothelial dysfunction via sirtuin 1 activation. Biomedicine & Pharmacotherapy. 165. 115213–115213. 34 indexed citations
7.
Tai, Shi, Ying Zhou, Liyao Fu, et al.. (2023). Dapagliflozin impedes endothelial cell senescence by activating the SIRT1 signaling pathway in type 2 diabetes. Heliyon. 9(8). e19152–e19152. 17 indexed citations
8.
Tai, Shi, Liyao Fu, Ningjie Zhang, et al.. (2022). Impact of Baseline and Trajectory of Triglyceride-Glucose Index on Cardiovascular Outcomes in Patients With Type 2 Diabetes Mellitus. Frontiers in Endocrinology. 13. 858209–858209. 22 indexed citations
9.
Tai, Shi, Liyao Fu, Ningjie Zhang, et al.. (2022). Association of the cumulative triglyceride-glucose index with major adverse cardiovascular events in patients with type 2 diabetes. Cardiovascular Diabetology. 21(1). 161–161. 46 indexed citations
10.
Fu, Liyao, Ying Zhou, Jiaxing Sun, et al.. (2022). Significantly Increased Risk of All-Cause Mortality Among Type 2 Diabetes Patients Living Alone. Frontiers in Medicine. 9. 782751–782751. 1 indexed citations
11.
Fu, Liyao, Shi Tai, Jiaxing Sun, et al.. (2022). Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort. Diabetes Care. 45(9). 2136–2143. 46 indexed citations
12.
Fu, Liyao, et al.. (2022). Uncertainty-aware pseudo-label and consistency for semi-supervised medical image segmentation. Biomedical Signal Processing and Control. 79. 104203–104203. 47 indexed citations
13.
Li, Tao, Yanting Liu, Liyao Fu, et al.. (2022). HSF1 Protects Sepsis-Induced Acute Lung Injury by Inhibiting NLRP3 Inflammasome Activation. Frontiers in Immunology. 13. 32 indexed citations
14.
Zhou, Ying, Liyao Fu, Jiaxing Sun, et al.. (2021). Association Between Metabolic Syndrome and an Increased Risk of Hospitalization for Heart Failure in Population of HFpEF. Frontiers in Cardiovascular Medicine. 8. 698117–698117. 9 indexed citations
15.
Sun, Jiaxing, Shi Tai, Yanan Guo, et al.. (2021). Sex Differences in Characteristics and Outcomes in Elderly Heart Failure Patients With Preserved Ejection Fraction: A Post-hoc Analysis From TOPCAT. Frontiers in Cardiovascular Medicine. 8. 721850–721850. 5 indexed citations
16.
Fu, Liyao, Ying Zhou, Jiaxing Sun, et al.. (2021). Atherogenic index of plasma is associated with major adverse cardiovascular events in patients with type 2 diabetes mellitus. Cardiovascular Diabetology. 20(1). 201–201. 81 indexed citations
17.
Tai, Shi, Xuping Li, Zhaowei Zhu, et al.. (2020). Hyperuricemia is a Risk Factor for One-Year Overall Survival in Elderly Female Patients with Acute Coronary Syndrome. Cardiovascular Therapeutics. 2020. 1–10. 12 indexed citations
18.
Tai, Shi, Xuping Li, Hui Yang, et al.. (2020). Sex Differences in the Outcomes of Elderly Patients with Acute Coronary Syndrome. Cardiology Research and Practice. 2020. 1–8. 7 indexed citations
19.
Zhang, Ningjie, Liyao Fu, Yanhong Bu, Yao Yao, & Yongjun Wang. (2017). Downregulated expression of miR-223 promotes Toll-like receptor-activated inflammatory responses in macrophages by targeting RhoB. Molecular Immunology. 91. 42–48. 40 indexed citations
20.
Fu, Liyao, et al.. (2014). [Effect of free fatty acid on NALP3 inflammasome signaling pathway in THP-1 macrophages].. PubMed. 39(8). 811–7. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026