Peishan Li

4.5k total citations · 2 hit papers
107 papers, 3.2k citations indexed

About

Peishan Li is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Peishan Li has authored 107 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 23 papers in Immunology and 19 papers in Biomedical Engineering. Recurrent topics in Peishan Li's work include Immune cells in cancer (14 papers), Nanoplatforms for cancer theranostics (11 papers) and Nanoparticle-Based Drug Delivery (8 papers). Peishan Li is often cited by papers focused on Immune cells in cancer (14 papers), Nanoplatforms for cancer theranostics (11 papers) and Nanoparticle-Based Drug Delivery (8 papers). Peishan Li collaborates with scholars based in China, United States and Italy. Peishan Li's co-authors include Guangwen Ren, Leonard D. Shultz, Zheng Gong, Bao‐Liang Song, Jiayuan Shi, Bo-Liang Li, Long Sheng, Yongguo Jin, Jingjie Tang and Jiagui Li and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Peishan Li

97 papers receiving 3.1k citations

Hit Papers

Lung fibroblasts facilitate pre-metastatic niche formatio... 2022 2026 2023 2024 2022 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peishan Li China 28 1.2k 630 574 426 414 107 3.2k
Minkyung Song South Korea 26 739 0.6× 441 0.7× 616 1.1× 397 0.9× 283 0.7× 70 2.9k
Qin Zeng China 26 872 0.7× 734 1.2× 616 1.1× 506 1.2× 310 0.7× 98 2.6k
Shiyu Chen China 36 2.2k 1.8× 379 0.6× 390 0.7× 580 1.4× 316 0.8× 169 4.0k
Ji‐Young Lee South Korea 26 1.1k 0.9× 445 0.7× 219 0.4× 243 0.6× 345 0.8× 79 2.8k
Weijie Zhou China 29 1.0k 0.9× 264 0.4× 249 0.4× 322 0.8× 246 0.6× 111 2.7k
Lin Nie China 35 1.4k 1.1× 507 0.8× 222 0.4× 514 1.2× 280 0.7× 116 3.8k
Yuxin Wang China 27 1.1k 1.0× 521 0.8× 214 0.4× 339 0.8× 276 0.7× 167 2.4k
Lan Yuan China 34 1.5k 1.2× 781 1.2× 365 0.6× 417 1.0× 380 0.9× 111 3.6k

Countries citing papers authored by Peishan Li

Since Specialization
Citations

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

Fields of papers citing papers by Peishan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peishan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peishan Li. A scholar is included among the top collaborators of Peishan 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 Peishan Li. Peishan 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.
Wang, Xuan, Yong Li, Peishan Li, et al.. (2025). Cell‐Active, Irreversible Covalent Inhibitors Targeting a Surface‐Exposed Non‐Catalytic Lysine on Aurora a Kinase by Using Squarate Chemistry. Angewandte Chemie International Edition. 64(40). e202510763–e202510763.
2.
Zhang, Weijia, Wangwang Chen, Bo Hu, et al.. (2025). Nicotinamide phosphoribosyltransferase in NAD+ metabolism: physiological and pathophysiological implications. Cell Death Discovery. 11(1). 371–371.
3.
Cao, Lijuan, Yanan Li, Artem Smirnov, et al.. (2025). Mesenchymal stromal cells highly expressing Sca-1 promote breast cancer lung metastasis through recruiting myeloid cells. Cell Death and Disease. 16(1). 507–507. 1 indexed citations
4.
Liu, Xiaojie, Xue Sun, Yanan Li, et al.. (2025). Autophagic flux-lipid droplet biogenesis cascade sustains mitochondrial fitness in colorectal cancer cells adapted to acidosis. Cell Death Discovery. 11(1). 21–21. 5 indexed citations
5.
Zhang, Jia, Xiaotong Xue, Yanan Li, et al.. (2024). Targeting the glucocorticoid receptor-CCR8 axis mediated bone marrow T cell sequestration enhances infiltration of anti-tumor T cells in intracranial cancers. Cellular and Molecular Immunology. 21(10). 1145–1157. 6 indexed citations
6.
7.
Su, Xiao, Ruifeng Tian, Rui Liu, et al.. (2024). Neutrophil-Driven M2-Like Macrophages Are Critical for Skin Fibrosis in a Systemic Sclerosis Model. Journal of Investigative Dermatology. 144(11). 2426–2439.e3. 4 indexed citations
8.
Zhen, Xueyan, Lanlan Jia, Qingyu Tang, et al.. (2023). Hybrid biointerface engineering nanoplatform for dual-targeted tumor hypoxia relief and enhanced photodynamic therapy. Journal of Colloid and Interface Science. 647. 211–223. 6 indexed citations
9.
Ren, Haoyu, et al.. (2023). Dying to Defend: Neutrophil Death Pathways and their Implications in Immunity. Advanced Science. 11(8). e2306457–e2306457. 35 indexed citations
10.
Li, Peishan, Qianmin Ou, Songtao Shi, & Changshun Shao. (2023). Immunomodulatory properties of mesenchymal stem cells/dental stem cells and their therapeutic applications. Cellular and Molecular Immunology. 20(6). 558–569. 127 indexed citations breakdown →
12.
Fang, Jiankai, Wangwang Chen, Pengbo Hou, et al.. (2023). NAD+ metabolism-based immunoregulation and therapeutic potential. Cell & Bioscience. 13(1). 81–81. 21 indexed citations
13.
Liu, Zhanhong, Pengbo Hou, Jiankai Fang, et al.. (2023). Mesenchymal stromal cells confer breast cancer doxorubicin resistance by producing hyaluronan. Oncogene. 42(44). 3221–3235. 9 indexed citations
14.
Qin, Liping, Yu Song, Fan Zhang, et al.. (2023). CRL4B complex-mediated H2AK119 monoubiquitination restrains Th1 and Th2 cell differentiation. Cell Death and Differentiation. 30(6). 1488–1502. 10 indexed citations
15.
Wang, Yi, Ping Wu, Xue Yang, et al.. (2023). Blood Cell Parameters From Early to Middle Pregnancy and Risk of Gestational Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 108(12). e1702–e1711. 19 indexed citations
16.
Li, Peishan, Yanzhu Zhang, Hongmei Lü, et al.. (2022). Discovery of New Secondary Metabolites from Marine Bacteria Hahella Based on an Omics Strategy. Marine Drugs. 20(4). 269–269. 7 indexed citations
17.
Feng, Chao, Yanan Li, Xiao Su, et al.. (2022). Mesenchymal stem/stromal cells primed by inflammatory cytokines alleviate psoriasis-like inflammation via the TSG-6-neutrophil axis. Cell Death and Disease. 13(11). 996–996. 25 indexed citations
18.
Su, Xiao, et al.. (2022). Mesenchymal stem cells alleviate systemic sclerosis by inhibiting the recruitment of pathogenic macrophages. Cell Death Discovery. 8(1). 466–466. 15 indexed citations
19.
Song, Yu, Liping Qin, Shuang Han, et al.. (2021). Ablation of ORMDL3 impairs adipose tissue thermogenesis and insulin sensitivity by increasing ceramide generation. Molecular Metabolism. 56. 101423–101423. 16 indexed citations
20.
Chang, Yuan-Jhe, Marcus S. Cooke, Yet‐Ran Chen, et al.. (2021). Is high resolution a strict requirement for mass spectrometry-based cellular DNA adductomics?. Chemosphere. 274. 129991–129991. 13 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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