Yuanke Li

614 total citations
19 papers, 455 citations indexed

About

Yuanke Li is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Yuanke Li has authored 19 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Yuanke Li's work include Evolution and Genetic Dynamics (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Yuanke Li is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Yuanke Li collaborates with scholars based in United States, China and Netherlands. Yuanke Li's co-authors include Kun Cheng, Zhen Zhao, Akshay Jain, Hao Liu, Ashutosh Barve, John Fetse, Wei Jin, Yanli Liu, Leaf Huang and Ying Fan and has published in prestigious journals such as Advanced Materials, Cancer Research and ACS Applied Materials & Interfaces.

In The Last Decade

Yuanke Li

19 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanke Li United States	10	226	116	113	102	86	19	455
Fu‐Fei Hsu Taiwan	11	316 1.4×	113 1.0×	117 1.0×	81 0.8×	161 1.9×	15	636
Victor Hernandez‐Gordillo United States	10	238 1.1×	183 1.6×	185 1.6×	67 0.7×	65 0.8×	11	570
Yanchun Meng China	15	298 1.3×	262 2.3×	83 0.7×	133 1.3×	88 1.0×	41	655
Chien‐Hsun Wu Taiwan	6	357 1.6×	64 0.6×	97 0.9×	111 1.1×	49 0.6×	7	529
Wen-Wei Lin Taiwan	17	307 1.4×	147 1.3×	115 1.0×	107 1.0×	73 0.8×	56	689
Michaela Jeong South Korea	8	656 2.9×	65 0.6×	75 0.7×	88 0.9×	121 1.4×	11	816
Sushmita Chatterjee Israel	13	623 2.8×	91 0.8×	114 1.0×	131 1.3×	153 1.8×	18	847
Neeraja Dharmaraj United States	14	258 1.1×	137 1.2×	97 0.9×	75 0.7×	314 3.7×	20	604
Siliang Duan China	15	343 1.5×	168 1.4×	216 1.9×	169 1.7×	206 2.4×	29	645

Countries citing papers authored by Yuanke Li

Since Specialization

Citations

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

Fields of papers citing papers by Yuanke Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanke Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanke Li. A scholar is included among the top collaborators of Yuanke 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 Yuanke Li. Yuanke Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Zhao, Zhen, et al.. (2025). Small extracellular vesicles (sEVs) in pancreatic cancer progression and diagnosis. Journal of Controlled Release. 380. 269–282. 3 indexed citations

Li, Yuanke, Fude Sun, Fan Li, et al.. (2025). Modular Design of T Cell Nanoengagers for Tumor Immunotherapy via Genetically Engineered Lipid‐Tagged Antibody Fragments. Advanced Materials. 37(27). e2503060–e2503060. 1 indexed citations

Zhao, Zhen, John Fetse, Yuhan Guo, et al.. (2024). Development of a peptide-based tumor-activated checkpoint inhibitor for cancer immunotherapy. Acta Biomaterialia. 193. 484–497. 3 indexed citations

Liu, Hao, Yanli Liu, Zhen Zhao, et al.. (2022). Discovery of Anti-PD-L1 Human Domain Antibodies for Cancer Immunotherapy. Frontiers in Immunology. 13. 838966–838966. 10 indexed citations

Zhao, Zhen, Yuanke Li, Hao Liu, et al.. (2020). Co-delivery of IKBKE siRNA and cabazitaxel by hybrid nanocomplex inhibits invasiveness and growth of triple-negative breast cancer. Science Advances. 6(29). eabb0616–eabb0616. 63 indexed citations

Li, Yuanke, Zhen Zhao, Chien‐Yu Lin, et al.. (2020). Silencing PCBP2 normalizes desmoplastic stroma and improves the antitumor activity of chemotherapy in pancreatic cancer. Theranostics. 11(5). 2182–2200. 27 indexed citations

Liu, Hao, Zhen Zhao, Yuanke Li, & Kun Cheng. (2019). Abstract 2394: Discovery of small anti-PD-L1 peptides for cancer immunotherapy. Immunology. 2394–2394. 1 indexed citations

Zhang, Gui-Lai, et al.. (2019). Stochastic dynamics and optimal control in a hybrid bioeconomic system with telephone noise and Lévy jumps. Physica A Statistical Mechanics and its Applications. 540. 123049–123049. 4 indexed citations

Zhao, Zhen, Yuanke Li, Ravi Shukla, et al.. (2019). Development of a Biocompatible Copolymer Nanocomplex to Deliver VEGF siRNA for Triple Negative Breast Cancer. Theranostics. 9(15). 4508–4524. 43 indexed citations

10.

Li, Yuanke, Zhen Zhao, Hao Liu, et al.. (2019). Development of a Tumor-Responsive Nanopolyplex Targeting Pancreatic Cancer Cells and Stroma. ACS Applied Materials & Interfaces. 11(49). 45390–45403. 40 indexed citations

11.

Liu, Hao, Zhen Zhao, Li Zhang, et al.. (2019). Discovery of low-molecular weight anti-PD-L1 peptides for cancer immunotherapy. Journal for ImmunoTherapy of Cancer. 7(1). 270–270. 104 indexed citations

12.

Jain, Akshay, Ashutosh Barve, Zhen Zhao, et al.. (2019). Targeted Delivery of an siRNA/PNA Hybrid Nanocomplex Reverses Carbon Tetrachloride‐Induced Liver Fibrosis. Advanced Therapeutics. 2(8). 27 indexed citations

13.

Liu, Hao, Zhen Zhao, Yuanke Li, & Kun Cheng. (2019). Abstract 2394: Discovery of small anti-PD-L1 peptides for cancer immunotherapy. Cancer Research. 79(13_Supplement). 2394–2394. 1 indexed citations

14.

Zhang, Qingling, et al.. (2019). Dynamical analysis and optimal control in a hybrid stochastic double delayed bioeconomic system with impulsive contaminants emission and Lévy jumps. Applied Mathematics and Computation. 352. 99–118. 7 indexed citations

15.

Zhang, Qingling, et al.. (2018). Dynamical behavior in a hybrid stochastic triple delayed prey predator bioeconomic system with Lévy jumps. Journal of the Franklin Institute. 356(1). 592–628. 4 indexed citations

16.

Zhao, Zhen, Yuanke Li, Akshay Jain, et al.. (2017). Development of a peptide-modified siRNA nanocomplex for hepatic stellate cells. Nanomedicine Nanotechnology Biology and Medicine. 14(1). 51–61. 44 indexed citations

17.

Zhang, Qingling, et al.. (2017). Dynamic analysis of a hybrid bioeconomic plankton system with double time delays and stochastic fluctuations. Applied Mathematics and Computation. 316. 115–137. 13 indexed citations

18.

Liu, Chao & Yuanke Li. (2014). Global Stability Analysis of a Nonautonomous Stage-Structured Competitive System with Toxic Effect and Double Maturation Delays. Abstract and Applied Analysis. 2014. 1–15. 4 indexed citations

19.

Yao, Jing, Ying Fan, Yuanke Li, & Leaf Huang. (2013). Strategies on the nuclear-targeted delivery of genes. Journal of drug targeting. 21(10). 926–939. 56 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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