Li, Andrew C.
University of California, Berkeley
7 papers on CoChatORCID 0009-0003-5027-1781
Most cited papers
- Verified
The peroxisome proliferator-activated receptor-γ is a negative regulator of macrophage activation
Ricote, M., Li, A. C., Willson, T. M., Kelly, C. J., & Glass, C. K. (1998) · Nature
Peroxisome Proliferator-Activated ReceptorsFatty Acid Research and Health
Cited by 3,525
- Verified
The macrophage foam cell as a target for therapeutic intervention
Li, A. C., & Glass, C. K. (2002) · Nature Medicine
Atherosclerosis and Cardiovascular DiseasesCholesterol and Lipid Metabolism
Cited by 700
- Verified
PPAR- and LXR-dependent pathways controlling lipid metabolism and the development of atherosclerosis
Li, A. C., & Glass, C. K. (2004) · Journal of Lipid Research
Peroxisome Proliferator-Activated ReceptorsCholesterol and Lipid Metabolism
Cited by 357
- Verified
Control of angiogenesis by AIBP-mediated cholesterol efflux
Fang, L., Choi, S.-H., Baek, J. S., Liu, C., Almazan, F., Ulrich, F., Wiesner, P., Taleb, A., Deer, E., Pattison, J., et al. (2013) · Nature
Cholesterol and Lipid MetabolismAngiogenesis and VEGF in Cancer
Cited by 192
- Verified
Non-redundant roles for LXR and LXR in atherosclerosis susceptibility in low density lipoprotein receptor knockout mice
Bischoff, E. D., Daige, C. L., Petrowski, M., Dedman, H., Pattison, J., Juliano, J., Li, A. C., & Schulman, I. G. (2010) · The Journal of Lipid Research
Cholesterol and Lipid MetabolismAtherosclerosis and Cardiovascular Diseases
Cited by 91
- Verified
The Macrosialin Promoter Directs High Levels of Transcriptional Activity in Macrophages Dependent on Combinatorial Interactions between PU.1 and c-Jun
Li, A. C., Guidez, F. R. B., Collier, J. G., & Glass, C. K. (1998) · Journal of Biological Chemistry
Genomics and Chromatin DynamicsImmune cells in cancer
Cited by 60
- Verified
EmbedLLM: Learning Compact Representations of Large Language Models
Zhuang, R., Wu, T., Wen, Z., Li, A., Jiao, J., & Ramchandran, K. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 0
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