Yanhong Liu on Muck Rack

Yanhong Liu

As seen in: Nature, Wiley Online Library, Clinical and Applied Thrombosis/Hemostasis, New Phytologist, PLOS ONE, MDPI, Taylor & Francis Online, ACM - Association for Computing Machinery, ACS Publications, Royal Society of Chemistry and
Ex-Microsoft employee turned real estate agent & investor, offering cutting-edge technology to buyers and sellers.
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Articles

High-Penetrance Rare Variants Underlying Familial Lung Cancer Risk: Insights From Genetic Epidemiology of Lung Cancer Consortium

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By Yanhong Liu
| Texas Medical Center
Publication Date 5-1-2026 Journal Journal of Thoracic Oncology DOI 10.1016/j.jtho.2025.12.004 PubMedCentral® Posted Date 6-12-2026 PubMedCentral® Full Text Version Author MSS Abstract Introduction: Rare, deleterious germline variants are key contributors to inherited lung cancer (LC) risk. The Genetic Epidemiology of LC Consortium (GELCC) has curated valuable high-risk LC families and is uniquely positioned to uncover rare, high-penetrance variants underlying familial LC (FLC).
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Ashwagandha Root Extract and Its Potential Modulation of CCN1-Associated Pathways in Sensitive-Skin Aging

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By Liying Kang, Yanhong Liu, Ltd. Guangzhou
| Wiley Online Library Verified
Filename Description jocd71010-sup-0001-Supinfo.docxWord 2007 document , 478.8 KB Data S1: LC-MS/MS analysis of Ashwagandha root extract (ARE). Data S2: Measurement of protein expression by ELISA. Data S3: Composition of ARE-containing cream. Data S4: Base O/W cream vehicle (key excipients). Data S5: Detailed clinical study procedures. Data S6: Outcome measures. Data S7: Statistical analysis. Figure S1: LC–MS/MS chromatogram of ARE.
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Exploring L2 learners’ self-regulation and engagement with Corpus-GenAI data-driven learning in academic writing revision

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By Yanhong Liu, Hongliang Yu, Shanhua He
| Taylor & Francis Online
Abstract Research on data-driven learning (DDL) has long emphasized the value of engaging learners with authentic language data through corpora. However, little is known about how learners engage with and regulate their learning in DDL environments supported by generative artificial intelligence (GenAI), particularly in academic writing revision.
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