Yue‐Ming Li

13.0k total citations · 3 hit papers
150 papers, 8.6k citations indexed

About

Yue‐Ming Li is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Yue‐Ming Li has authored 150 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 61 papers in Physiology and 27 papers in Pharmacology. Recurrent topics in Yue‐Ming Li's work include Alzheimer's disease research and treatments (59 papers), Cholinesterase and Neurodegenerative Diseases (25 papers) and Computational Drug Discovery Methods (13 papers). Yue‐Ming Li is often cited by papers focused on Alzheimer's disease research and treatments (59 papers), Cholinesterase and Neurodegenerative Diseases (25 papers) and Computational Drug Discovery Methods (13 papers). Yue‐Ming Li collaborates with scholars based in United States, China and Australia. Yue‐Ming Li's co-authors include Georgia Frost, Charles G. Eberhart, Xing Fan, Min Xu, Ming‐Tain Lai, Stephen J. Gardell, Qian Huang, Xiao‐Ping Shi, Leila Khaki and Mohinder K. Sardana and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yue‐Ming Li

147 papers receiving 8.5k citations

Hit Papers

Photoactivated γ-secretase inhibitors directed to the act... 2000 2026 2008 2017 2000 2006 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue‐Ming Li United States 48 4.6k 3.4k 1.4k 1.4k 961 150 8.6k
Ana Cuenda Spain 43 7.9k 1.7× 1.3k 0.4× 590 0.4× 2.1k 1.5× 1.4k 1.5× 76 11.5k
Jesper Z. Haeggström Sweden 49 3.7k 0.8× 2.7k 0.8× 1.2k 0.9× 1.0k 0.7× 256 0.3× 192 9.2k
Lufen Chang United States 21 7.2k 1.5× 1.8k 0.5× 566 0.4× 1.8k 1.3× 1.2k 1.3× 27 12.2k
Yong‐Keun Jung South Korea 48 5.5k 1.2× 1.6k 0.5× 529 0.4× 826 0.6× 1.3k 1.4× 147 8.7k
Philippe P. Roux Canada 50 10.5k 2.3× 1.3k 0.4× 572 0.4× 1.9k 1.3× 2.2k 2.3× 105 15.4k
Ta‐Yuan Chang United States 55 5.3k 1.1× 2.0k 0.6× 272 0.2× 861 0.6× 1.4k 1.5× 160 9.5k
Jochen H.M. Prehn Ireland 69 10.0k 2.2× 1.6k 0.5× 498 0.4× 1.6k 1.2× 1.6k 1.6× 345 15.7k
Marcelo G. Kazanietz United States 58 9.9k 2.1× 922 0.3× 573 0.4× 2.0k 1.4× 2.3k 2.4× 192 13.2k
Steven Pelech Canada 64 8.0k 1.7× 1.3k 0.4× 517 0.4× 1.5k 1.1× 1.9k 2.0× 216 12.4k
Haian Fu United States 59 13.5k 2.9× 706 0.2× 1.3k 0.9× 2.6k 1.8× 1.7k 1.8× 221 17.4k

Countries citing papers authored by Yue‐Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Yue‐Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue‐Ming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yue‐Ming Li. A scholar is included among the top collaborators of Yue‐Ming 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 Yue‐Ming Li. Yue‐Ming 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.
Nie, Pengju, et al.. (2025). In Situ Labeling of Pathogenic Tau Using Photo-Affinity Chemical Probes. ACS Chemical Biology. 20(3). 581–591. 1 indexed citations
2.
Li, Peng, et al.. (2025). Dynamic deadband intermittent event-triggered strategy for formation control of multiple unmanned surface vehicles. Journal of Vibration and Control. 32(5-6). 828–845. 12 indexed citations
3.
Qi, Mingming, Lijun Jiang, Jialin Song, et al.. (2024). Investigating the Impact of Moisture Levels on Structural Alterations and Physicochemical Properties of Cassava Flour through Extrusion: A Comprehensive Study. Plant Foods for Human Nutrition. 79(4). 909–914.
5.
Li, Yue‐Ming, et al.. (2024). Big Five personality and mind wandering in athletes: mediating role of trait anxiety. Frontiers in Psychology. 15. 1232312–1232312. 2 indexed citations
6.
Li, Yue‐Ming, et al.. (2023). Metabolomics analysis reveals the effect of removing cotyledons on salt tolerance in castor plant roots during early seedling establishment. Industrial Crops and Products. 207. 117702–117702. 2 indexed citations
7.
Qi, Mingming, et al.. (2023). Understanding the degradation mechanisms of cyanide and starch in cassava flour during extrusion processing. Innovative Food Science & Emerging Technologies. 91. 103548–103548. 11 indexed citations
8.
Jain, Tanya, et al.. (2022). Functional insight into LOAD-associated microglial response genes. Open Biology. 12(1). 210280–210280. 6 indexed citations
9.
Li, Thomas, Yorito Hattori, Danica Chiu, et al.. (2022). Hypoxia Inducible Factor-1α binds and activates γ-secretase for Aβ production under hypoxia and cerebral hypoperfusion. Molecular Psychiatry. 27(10). 4264–4273. 29 indexed citations
10.
Li, Yue‐Ming, et al.. (2022). [Advances in the mechanism of plant adaptation to acid aluminum stress].. PubMed. 38(8). 2754–2766. 3 indexed citations
11.
Xu, Peng, Jerry C. Chang, Xiaopu Zhou, et al.. (2021). GSAP regulates lipid homeostasis and mitochondrial function associated with Alzheimer’s disease. The Journal of Experimental Medicine. 218(8). 23 indexed citations
12.
Frost, Georgia, Valerie A. Longo, Thomas Li, et al.. (2020). Hybrid PET/MRI enables high-spatial resolution, quantitative imaging of amyloid plaques in an Alzheimer’s disease mouse model. Scientific Reports. 10(1). 10379–10379. 23 indexed citations
13.
Wong, Eitan, George P. Liao, Jerry C. Chang, et al.. (2019). GSAP modulates γ-secretase specificity by inducing conformational change in PS1. Proceedings of the National Academy of Sciences. 116(13). 6385–6390. 42 indexed citations
14.
Paresi, Chelsea, Qi Liu, & Yue‐Ming Li. (2016). Benzimidazole covalent probes and the gastric H+/K+-ATPase as a model system for protein labeling in a copper-free setting. Molecular BioSystems. 12(6). 1772–1780. 3 indexed citations
15.
Pozdnyakov, Nikolay, Heather E. Murrey, Christina J. Crump, et al.. (2013). γ-Secretase Modulator (GSM) Photoaffinity Probes Reveal Distinct Allosteric Binding Sites on Presenilin. Journal of Biological Chemistry. 288(14). 9710–9720. 82 indexed citations
16.
Wu, Jing, Ronald S. Petralia, Hiral Patel, et al.. (2011). Arc/Arg3.1 Regulates an Endosomal Pathway Essential for Activity-Dependent β-Amyloid Generation. Cell. 147(3). 615–628. 168 indexed citations
17.
Mullendore, Michael E., Yue‐Ming Li, G. J. A. Offerhaus, et al.. (2009). Ligand-dependent Notch Signaling Is Involved in Tumor Initiation and Tumor Maintenance in Pancreatic Cancer. Clinical Cancer Research. 15(7). 2291–2301. 150 indexed citations
18.
Shelton, Christopher C., Yuan Tian, David Shum, et al.. (2009). A Miniaturized 1536-Well Format γ-Secretase Assay. Assay and Drug Development Technologies. 7(5). 461–470. 14 indexed citations
19.
Fan, Xing, William Matsui, Leila Khaki, et al.. (2006). Notch Pathway Inhibition Depletes Stem-like Cells and Blocks Engraftment in Embryonal Brain Tumors. Cancer Research. 66(15). 7445–7452. 480 indexed citations
20.
Deng, Yu, et al.. (2006). Deletion of Presenilin 1 Hydrophilic Loop Sequence Leads to Impaired γ-Secretase Activity and Exacerbated Amyloid Pathology. Journal of Neuroscience. 26(14). 3845–3854. 55 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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