Yingpu Li

1.2k total citations · 2 hit papers
15 papers, 704 citations indexed

About

Yingpu Li is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yingpu Li has authored 15 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 8 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yingpu Li's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Single-cell and spatial transcriptomics (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yingpu Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Single-cell and spatial transcriptomics (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yingpu Li collaborates with scholars based in China. Yingpu Li's co-authors include Sifan Zhang, Zhiren Zhang, Xueying Wang, Zhennan Yuan, Min Xiao, Yu Xi, He Dou, Shanshan Yang, Bo Lei and Leiguang Ye and has published in prestigious journals such as Frontiers in Immunology, Life Sciences and Molecular Cancer.

In The Last Decade

Yingpu Li

14 papers receiving 699 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Extracellular matrix remodeling in tumor progression and immune escape: from mechanisms to treatments

2023 478 citations Zhennan Yuan, Yingpu Li et al. Molecular Cancer profile →
Metabolic reprogramming and therapeutic resistance in primary and metastatic breast cancer

2024 55 citations Shan Liu, Xingda Zhang et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingpu Li China	6	282	200	191	126	110	15	704
Stephanie M. Cohen United States	17	350 1.2×	252 1.3×	206 1.1×	120 1.0×	82 0.7×	35	813
Sofia Karkampouna Switzerland	14	310 1.1×	216 1.1×	146 0.8×	65 0.5×	176 1.6×	31	755
Alexandra Cretu United States	14	311 1.1×	141 0.7×	125 0.7×	68 0.5×	51 0.5×	15	728
Marta Sesé Spain	10	444 1.6×	173 0.9×	232 1.2×	86 0.7×	94 0.9×	18	742
Francesco Alfredo Zito Italy	17	276 1.0×	189 0.9×	153 0.8×	70 0.6×	132 1.2×	48	722
Jesús Anampa United States	7	242 0.9×	415 2.1×	230 1.2×	117 0.9×	121 1.1×	14	746
Fabiana Lüönd Switzerland	7	380 1.3×	330 1.6×	237 1.2×	69 0.5×	95 0.9×	9	683
Stefanie Tiede Switzerland	9	536 1.9×	455 2.3×	312 1.6×	105 0.8×	115 1.0×	9	936
Shaosen Zhang China	15	396 1.4×	204 1.0×	182 1.0×	171 1.4×	84 0.8×	33	764
Igor Bado United States	13	331 1.2×	388 1.9×	184 1.0×	60 0.5×	119 1.1×	16	690

Countries citing papers authored by Yingpu Li

Since Specialization

Citations

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

Fields of papers citing papers by Yingpu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingpu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingpu Li. A scholar is included among the top collaborators of Yingpu 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 Yingpu Li. Yingpu 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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15 of 15 papers shown

Wang, Hongwei, Sifan Zhang, Kexin Liu, et al.. (2025). Transcriptome-wide analysis reveals potential roles of CFD and ANGPTL4 in fibroblasts regulating B cell lineage for extracellular matrix-driven clustering and novel avenues for immunotherapy in breast cancer. Molecular Medicine. 31(1). 179–179.

Li, Yingpu, Sifan Zhang, Xinxuan Wang, et al.. (2024). Proteomic, single-cell and bulk transcriptomic analysis of plasma and tumor tissues unveil core proteins in response to anti-PD-L1 immunotherapy in triple negative breast cancer. Computers in Biology and Medicine. 176. 108537–108537. 5 indexed citations

Yi, Jinfeng, et al.. (2024). Recent advances in crosstalk between immune cells and cancer cells with ferroptosis. Life Sciences. 360. 123279–123279. 3 indexed citations

Liu, Shan, Xudong Li, Xue Li, et al.. (2024). A bibliometric study of the intellectual base and global research hotspots for single-cell sequencing [2009–2022] in breast cancer. Heliyon. 10(12). e33219–e33219. 2 indexed citations

Liu, Yang, Nan Wang, Fei Wu, et al.. (2024). METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Computers in Biology and Medicine. 171. 108136–108136. 2 indexed citations

Liu, Shan, Xingda Zhang, Wenzheng Wang, et al.. (2024). Metabolic reprogramming and therapeutic resistance in primary and metastatic breast cancer. Molecular Cancer. 23(1). 261–261. 55 indexed citations breakdown →

Liu, Xiaona, Yingpu Li, Huili Wang, et al.. (2023). AKD Emulsions Stabilized by Guar Gel: A Highly Efficient Agent to Improve the Hydrophobicity of Cellulose Paper. Polymers. 15(24). 4669–4669. 5 indexed citations

Yuan, Zhennan, Yingpu Li, Sifan Zhang, et al.. (2023). Extracellular matrix remodeling in tumor progression and immune escape: from mechanisms to treatments. Molecular Cancer. 22(1). 48–48. 478 indexed citations breakdown →

Ye, Leiguang, Yingpu Li, Sifan Zhang, Jinsong Wang, & Bo Lei. (2023). Exosomes-regulated lipid metabolism in tumorigenesis and cancer progression. Cytokine & Growth Factor Reviews. 73. 27–39. 39 indexed citations

10.

Li, Yingpu, et al.. (2022). The effect of MiR-497 on the expression of target genes BCL-2 and LC3B on cardiomyocytes injured by hypoxia/reoxygenation. Cellular and Molecular Biology. 68(5). 170–176. 2 indexed citations

11.

Liu, Jianyu, Bo Lei, Xin Yu, et al.. (2022). Combining Immune-Related Genes For Delineating the Extracellular Matrix and Predicting Hormone Therapy and Neoadjuvant Chemotherapy Benefits In Breast Cancer. Frontiers in Immunology. 13. 888339–888339. 4 indexed citations

12.

Li, Yingpu, et al.. (2022). Analysis of Macrophage Chemotactic Activity and TLR9 Signaling Pathway in the Mouse Model of Viral Acute Lung Injury. Cellular and Molecular Biology. 68(11). 71–77. 1 indexed citations

13.

Zhang, Xianyu, Hui Li, Wen Cheng, et al.. (2021). Evaluating the Accuracy of Breast Cancer and Molecular Subtype Diagnosis by Ultrasound Image Deep Learning Model. Frontiers in Oncology. 11. 623506–623506. 66 indexed citations

14.

Li, Yingpu, Hao Wu, Qin Wang, & Shouping Xu. (2021). ZNF217: the cerberus who fails to guard the gateway to lethal malignancy.. PubMed. 11(7). 3378–3405. 10 indexed citations

15.

Zhan, Chuanjun, et al.. (2012). Neurofilament proteins in axonal regeneration and neurodegenerative diseases.. PubMed. 7(8). 620–6. 32 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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