Yingke Li

1.1k total citations
32 papers, 794 citations indexed

About

Yingke Li is a scholar working on Molecular Biology, Modeling and Simulation and Immunology. According to data from OpenAlex, Yingke Li has authored 32 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Modeling and Simulation and 8 papers in Immunology. Recurrent topics in Yingke Li's work include COVID-19 epidemiological studies (8 papers), interferon and immune responses (5 papers) and MicroRNA in disease regulation (5 papers). Yingke Li is often cited by papers focused on COVID-19 epidemiological studies (8 papers), interferon and immune responses (5 papers) and MicroRNA in disease regulation (5 papers). Yingke Li collaborates with scholars based in China, Hong Kong and Croatia. Yingke Li's co-authors include Xueyin Shi, Xuetao Cao, Xingguang Liu, Jun Meng, Chengcai Wang, Nan Li, Hongbin Yuan, Sheng Xu, Yue Zhang and Zhidong Teng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yingke Li

32 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingke Li China 16 265 229 156 121 114 32 794
Alessandra Zevini Italy 11 337 1.3× 239 1.0× 46 0.3× 81 0.7× 27 0.2× 11 733
Sarah Krämer Germany 15 93 0.4× 168 0.7× 45 0.3× 144 1.2× 144 1.3× 38 1.1k
Rui Song China 15 208 0.8× 188 0.8× 55 0.4× 79 0.7× 47 0.4× 60 773
Cyprian C. Rossetto United States 18 362 1.4× 384 1.7× 252 1.6× 41 0.3× 131 1.1× 30 1.8k
Li He China 17 109 0.4× 303 1.3× 98 0.6× 24 0.2× 28 0.2× 84 1.2k
Travis Lim United States 15 72 0.3× 275 1.2× 23 0.1× 175 1.4× 36 0.3× 37 816
Anthony Bosco Australia 29 909 3.4× 405 1.8× 78 0.5× 66 0.5× 19 0.2× 84 2.3k
Xaquín Castro Dopico Sweden 15 366 1.4× 173 0.8× 22 0.1× 34 0.3× 54 0.5× 29 1.1k
Pietá Schofield United Kingdom 13 110 0.4× 1.3k 5.5× 364 2.3× 68 0.6× 30 0.3× 28 1.8k
D. Fuchs Austria 18 208 0.8× 229 1.0× 71 0.5× 113 0.9× 5 0.0× 57 979

Countries citing papers authored by Yingke Li

Since Specialization
Citations

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

Fields of papers citing papers by Yingke Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingke Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingke Li. A scholar is included among the top collaborators of Yingke Li 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 Yingke Li. Yingke Li 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, Yingke, Yi‐Ming Li, Nan Wu, et al.. (2025). Phosphorylation of FOXN3 by NEK6 promotes pulmonary fibrosis through Smad signaling. Nature Communications. 16(1). 1865–1865. 4 indexed citations
2.
Li, Han, Yongwei Yang, Xilian Chen, et al.. (2025). Extracellular vesicles derived from menstrual blood-derived mesenchymal stem cells suppress inflammatory atherosclerosis by inhibiting NF-κB signaling. BMC Medicine. 23(1). 565–565. 1 indexed citations
3.
Liu, Qianru, et al.. (2023). Ste20-Like Kinase TAOK1 Positively Regulates Antiviral Responses by Controlling the TBK1-IRF3 Signaling Axis. Journal of Innate Immunity. 15(1). 380–396. 1 indexed citations
4.
Li, Yingke, et al.. (2022). Stability and Hopf bifurcation in an age-structured SIR epidemic model with relapse. Discrete and Continuous Dynamical Systems - B. 28(3). 1643–1672. 5 indexed citations
5.
Li, Yingke, et al.. (2021). Dynamical properties in an SVEIR epidemic model with age‐dependent vaccination, latency, infection, and relapse. Mathematical Methods in the Applied Sciences. 44(17). 12810–12834. 11 indexed citations
6.
He, Daihai, Shi Zhao, Yingke Li, et al.. (2020). Comparing COVID-19 and the 1918–19 influenza pandemics in the United Kingdom. International Journal of Infectious Diseases. 98. 67–70. 34 indexed citations
7.
Cui, Qianqian, et al.. (2020). Dynamic variations of the COVID-19 disease at different quarantine strategies in Wuhan and mainland China. Journal of Infection and Public Health. 13(6). 849–855. 51 indexed citations
8.
Ren, Zhongyu, Yingke Li, Bing Cao, et al.. (2020). Association between muscle strength and depressive symptoms among Chinese female college freshmen: a cross-sectional study. BMC Musculoskeletal Disorders. 21(1). 510–510. 9 indexed citations
9.
He, Daihai, Daozhou Gao, Yingke Li, et al.. (2020). An Updated Comparison of COVID-19 and Influenza. SSRN Electronic Journal. 4 indexed citations
10.
Teng, Zhidong, et al.. (2020). An age-structured model for coupling within-host and between-host dynamics in environmentally-driven infectious diseases. Chaos Solitons & Fractals. 139. 110024–110024. 13 indexed citations
11.
Yang, Guang, et al.. (2019). Association Between Internet Addiction and the Risk of Musculoskeletal Pain in Chinese College Freshmen – A Cross-Sectional Study. Frontiers in Psychology. 10. 1959–1959. 50 indexed citations
12.
Liu, Xingguang, Peng Zhang, Yunkai Zhang, et al.. (2018). Glycolipid iGb3 feedback amplifies innate immune responses via CD1d reverse signaling. Cell Research. 29(1). 42–53. 17 indexed citations
13.
Yang, Rui, Wei Chen, Ye Lu, et al.. (2017). Dioscin relieves endotoxemia induced acute neuro-inflammation and protect neurogenesis via improving 5-HT metabolism. Scientific Reports. 7(1). 40035–40035. 33 indexed citations
14.
Li, Yingke, Zhidong Teng, Shigui Ruan, Mingtao Li, & Xiaomei Feng. (2017). A mathematical model for the seasonal transmission of schistosomiasis in the lake and marshland regions of China. Mathematical Biosciences & Engineering. 14(5/6). 1279–1299. 34 indexed citations
15.
Li, Yingke, Peng Zhang, Chengcai Wang, et al.. (2013). Immune Responsive Gene 1 (IRG1) Promotes Endotoxin Tolerance by Increasing A20 Expression in Macrophages through Reactive Oxygen Species. Journal of Biological Chemistry. 288(23). 16225–16234. 148 indexed citations
16.
Zhang, Yue & Yingke Li. (2013). MicroRNAs in the regulation of immune response against infections. Journal of Zhejiang University SCIENCE B. 14(1). 1–7. 27 indexed citations
17.
18.
Liu, Xingguang, Peng Zhang, Yan Bao, et al.. (2013). Zinc finger protein ZBTB20 promotes toll-like receptor-triggered innate immune responses by repressing IκBα gene transcription. Proceedings of the National Academy of Sciences. 110(27). 11097–11102. 64 indexed citations
19.
Li, Yingke & Xueyin Shi. (2012). MicroRNAs in the regulation of TLR and RIG-I pathways. Cellular and Molecular Immunology. 10(1). 65–71. 108 indexed citations
20.
Xu, Haitao, et al.. (2010). Low-dose naloxone combined with sufentanil and ropivacaine for postoperative patient-controlled epidural analgesia in elderly patients undergoing total hip replacement. Academic Journal of Second Military Medical University. 29(1). 65–68. 1 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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