Wei Yang
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Postdoctoral Researcher
Also affiliated: Kanazawa University (2025); National Natural Science Foundation of China (2019); Boston College (2024–2025); Dartmouth College (2013–2019); Stevens Institute of Technology (2023); Jiangnan University (2012); Shanghai University (2011); Qinghai University (2019); Tongji University (2016); Tianjin Agricultural University (2019–2021); Dartmouth–Hitchcock Medical Center (2014–2018); The University of Texas MD Anderson Cancer Center (2011–2024); Long Island University (2010); Hong Kong Polytechnic University (2018–2025); Shandong University (2023); Hangzhou Normal University (2013–2014); Guizhou University (2020); Jilin University (2007–2019); University of Washington (2021–2025); University of California, Irvine (2015); Hokkaido University (2007); Kunming Medical University (2013); Stony Brook University Hospital (2003); University of Southeastern Philippines (2024); Tongde Hospital of Zhejiang Province (2008–2010); Kingmed Diagnostics (2015); Xi'an Technological University (2022); Ningxia Medical University (2021); Zhejiang Provincial People's Hospital (2016–2021); China Academy of Chinese Medical Sciences (2021); Second Affiliated Hospital of Jilin University (2018); Changchun Institute of Technology (2013); Baoshan University (2024); Second Xiangya Hospital of Central South University (2025); Zhejiang Taizhou Hospital (2021); Xiangya Hospital Central South University (2025); Hangzhou Medical College (2021); Yangpu Hospital of Tongji University (2016); First Affiliated Hospital Zhejiang University (2020); Dartmouth Cancer Center (2014–2019); State Key Laboratory of Inorganic Synthesis and Preparative Chemistry (2018–2019); Southwest Jiaotong University (2017); University of York (2006); Stony Brook University (2003); Shandong Agricultural University (2013); Zhejiang University (2010–2024); Beihang University (2017–2021); Nanjing Medical University (2020–2024); Chongqing Medical University (2021); South China University of Technology (2012); Guangzhou Medical University (2015)
Upstream record may be merged OpenAlex, the source of these figures, lists 52 institutions in 6 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Wei Yang's research focuses on molecular mechanisms underlying disease, particularly in the context of cancer and signal transduction pathways. Yang has investigated the role of specific proteins, such as P-REX1, in activating critical signaling cascades like PI3K/AKT and MEK/ERK, which are implicated in breast cancer progression. Further work has explored therapeutic strategies targeting tumor microenvironment-mediated drug resistance in estrogen receptor-positive breast cancer.
Beyond cancer research, Yang has contributed to the development of biosensing techniques, including the design of probes for detecting hydrogen peroxide and xanthine using nitrogen-doped quantum dots. Additionally, research has involved the engineering of proteins designed to induce endocytosis for target degradation and signal amplification, as well as the design of protein binders for intrinsically disordered proteins.
Yang's scholarly output includes 150 publications with an h-index of 29 and over 2,400 citations. The researcher's work spans diverse areas, from molecular biology and cancer research to the development of novel sensing technologies.
Metrics
- h-index: 29
- Publications: 143
- Citations: 2,420
Positions
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Postdoctoral Researcher 2023–presentBoston College Chemistry ORCID
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Postdoctoral Researcher publications 2026University of Arkansas at Fayetteville ORCID
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Postdoc 2021–2023Loyola University Chicago Chemistry & Biochemistry ORCID
Selected Publications
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Predicting Properties of Key Ingredients of Battery Solvents with Density Functional Theory and Adaptive Force Matching (2026)
Collaboration Network
Top Collaborators
- Predicting Properties of Key Ingredients of Battery Solvents with Density Functional Theory and Adaptive Force Matching
- Predicting Properties of Key Ingredients of Battery Solvents with Density Functional Theory and Adaptive Force Matching
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