Li Lai

1.6k total citations
43 papers, 1.2k citations indexed

About

Li Lai is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Li Lai has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Li Lai's work include Angiogenesis and VEGF in Cancer (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Li Lai is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Li Lai collaborates with scholars based in United States and China. Li Lai's co-authors include Mingyao Liu, Zhengfang Yi, Yanmin Dong, Yihua Chen, Yeong‐Hau H. Lien, John P. Cooke, Dali Li, Dong Zhai, Fujun Dai and Yuanyuan Wu and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Li Lai

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Lai United States 18 721 217 212 169 106 43 1.2k
Fatemeh Karami‐Tehrani Iran 20 648 0.9× 205 0.9× 151 0.7× 75 0.4× 84 0.8× 27 1.1k
Zhu Yuan China 24 1.0k 1.4× 394 1.8× 274 1.3× 87 0.5× 85 0.8× 68 1.4k
Xuedong Yin China 18 719 1.0× 375 1.7× 292 1.4× 87 0.5× 147 1.4× 48 1.3k
Christoforos Thomas United States 18 665 0.9× 474 2.2× 254 1.2× 491 2.9× 118 1.1× 30 1.3k
Jason R. Mann United States 13 491 0.7× 350 1.6× 332 1.6× 309 1.8× 141 1.3× 14 1.4k
M Oshimura Japan 9 945 1.3× 265 1.2× 257 1.2× 126 0.7× 153 1.4× 11 1.4k
Guy Makin United Kingdom 23 969 1.3× 537 2.5× 375 1.8× 133 0.8× 153 1.4× 49 1.8k
Christopher C. Coss United States 20 782 1.1× 263 1.2× 163 0.8× 289 1.7× 332 3.1× 66 1.5k
Janeen H. Trembley United States 23 1.3k 1.8× 611 2.8× 187 0.9× 125 0.7× 165 1.6× 72 1.9k

Countries citing papers authored by Li Lai

Since Specialization
Citations

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

Fields of papers citing papers by Li Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Li Lai. A scholar is included among the top collaborators of Li Lai 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 Li Lai. Li Lai 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.
Yang, Su, Bo Chen, Haibo Kou, et al.. (2025). Mechanical signal-chromatin interactions: molecular networks from nuclear membrane force transmission to epigenetic regulation. Frontiers in Medicine. 12. 1631645–1631645. 1 indexed citations
2.
Li, Shuang, Yanqiang Li, Michael Graber, et al.. (2025). O-GlcNAcylation promotes angiogenic transdifferentiation to reverse vascular ischemia. Nature Cardiovascular Research. 4(7). 904–920. 1 indexed citations
3.
Ou, Weihua, et al.. (2025). Study-level cross-modal retrieval of chest x-ray images and reports with adapter-based fine-tuning. Physics in Medicine and Biology. 70(4). 45022–45022. 1 indexed citations
4.
Xiong, Jing, et al.. (2025). Fundamental study of surface generation in robot-assisted polishing of optical components. The International Journal of Advanced Manufacturing Technology. 137(5-6). 2221–2235.
5.
Zhang, Pengzhi, Tu Tran, Shengyu Li, et al.. (2025). Thor: a platform for cell-level investigation of spatial transcriptomics and histology. Nature Communications. 16(1). 7178–7178. 3 indexed citations
6.
Zhang, Pengzhi, Tu Tran, Yiwei Xiao, et al.. (2025). A visual–omics foundation model to bridge histopathology with spatial transcriptomics. Nature Methods. 22(7). 1568–1582. 13 indexed citations
8.
Zhang, Huajian, et al.. (2024). Clustering on heterogeneous IoT information network based on meta path. Science Progress. 107(2). 342227885–342227885.
9.
Cooke, John P., Keith A. Youker, & Li Lai. (2024). Myocardial Recovery versus Myocardial Regeneration: Mechanisms and Therapeutic Modulation. Methodist DeBakey Cardiovascular Journal. 20(4). 31–41. 1 indexed citations
10.
Song, Dekun, et al.. (2024). USP27 promotes glycolysis and hepatocellular carcinoma progression by stabilizing PFKFB3 through deubiquitination. Cellular Signalling. 127. 111585–111585. 1 indexed citations
11.
Cooke, John P. & Li Lai. (2023). Transflammation in tissue regeneration and response to injury: How cell-autonomous inflammatory signaling mediates cell plasticity. Advanced Drug Delivery Reviews. 203. 115118–115118. 15 indexed citations
12.
Chen, Bo, Li Lai, Jianbing Guo, et al.. (2020). Adult primary testicular lymphoma: clinical features and survival in a series of patients treated at a high-volume institution in China. BMC Cancer. 20(1). 220–220. 16 indexed citations
13.
Liu, Junchen, Guo Chen, Zezhen Liu, et al.. (2018). Aberrant FGFR Tyrosine Kinase Signaling Enhances the Warburg Effect by Reprogramming LDH Isoform Expression and Activity in Prostate Cancer. Cancer Research. 78(16). 4459–4470. 88 indexed citations
14.
Suh, Ji Ho, Li Lai, Jong Kim, et al.. (2017). Steroid receptor coactivator-2 (SRC-2) coordinates cardiomyocyte paracrine signaling to promote pressure overload–induced angiogenesis. Journal of Biological Chemistry. 292(52). 21643–21652. 7 indexed citations
15.
Lai, Li & Yohannes T. Ghebremariam. (2015). Modulating DDAH/NOS Pathway to Discover Vasoprotective Insulin Sensitizers. Journal of Diabetes Research. 2016. 1–8. 14 indexed citations
16.
Dai, Fujun, Yihua Chen, Yajuan Song, et al.. (2012). A Natural Small Molecule Harmine Inhibits Angiogenesis and Suppresses Tumour Growth through Activation of p53 in Endothelial Cells. PLoS ONE. 7(12). e52162–e52162. 70 indexed citations
17.
Zhang, Tao, Jingjie Li, Yanmin Dong, et al.. (2012). Cucurbitacin E inhibits breast tumor metastasis by suppressing cell migration and invasion. Breast Cancer Research and Treatment. 135(2). 445–458. 86 indexed citations
18.
Lai, Li, Junchen Liu, Dong Zhai, et al.. (2011). Plumbagin inhibits tumour angiogenesis and tumour growth through the Ras signalling pathway following activation of the VEGF receptor‐2. British Journal of Pharmacology. 165(4b). 1084–1096. 71 indexed citations
19.
Pang, Xuehai, Li Zhang, Li Lai, et al.. (2011). 1'-Acetoxychavicol acetate suppresses angiogenesis-mediated human prostate tumor growth by targeting VEGF-mediated Src-FAK-Rho GTPase-signaling pathway. Carcinogenesis. 32(6). 904–912. 28 indexed citations
20.
Dong, Yujuan, Bojing Lu, Xiongwen Zhang, et al.. (2010). Cucurbitacin E, a tetracyclic triterpenes compound from Chinese medicine, inhibits tumor angiogenesis through VEGFR2-mediated Jak2-STAT3 signaling pathway. Carcinogenesis. 31(12). 2097–2104. 145 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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