Qingyang Zhang
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Role not yet determined Is this you? Add your title
Upstream record may be merged OpenAlex, the source of these figures, lists 48 institutions in 8 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
Qingyang Zhang's research focuses on the molecular mechanisms underlying disease, with recent work exploring the role of RNA modifications and metabolic factors in health and disease. Zhang has investigated the impact of N6-methyladenosine (m6A) RNA modification on antiviral innate sensing pathways and its role in regulating liver metabolic disorders and hepatogenous diabetes. Further studies have examined how the histone methyltransferase MMSET/NSD2 influences the myeloma epigenome and how a novel m6A reader, Prrc2a, controls oligodendroglial specification and myelination.
In addition to molecular and genetic studies, Zhang's work has also delved into the mechanobiology of cells and tissues. Funded by the National Institutes of Health (NIH) and the National Science Foundation (NSF), Zhang has served as PI on grants investigating the mechanobiology of 3D morphogenesis, multicellular morphogenesis, and cellular contractility. These projects aim to understand how mechanical forces influence biological processes, including invasive diseases. Collaborations include work with Jeffrey A. Lewis, Stephanie E. Hood, Carson Stacy, and Tara Stuecker at the University of Arkansas at Fayetteville.
Zhang's research portfolio also includes studies on predicting mortality risk using metabolic scores, as demonstrated by a recent publication on the METS-IR score and its association with all-cause and cardiovascular mortality. With a career h-index of 17 and over 1,500 citations across 82 publications, Zhang has secured substantial federal funding, totaling over $7.3 million for various research endeavors.
Metrics
- h-index: 17
- Publications: 82
- Citations: 1,562
Selected Publications
-
Factors Associated with Psychological Constructs: A Conditional Inference Tree Analysis (2026)
-
Classification-based genomic prediction for early identification of high-yielding and stable soybean genotypes (2026)
-
Categorical Distance Correlation Under General Encodings and its Application to High-Dimensional Feature Screening (2026)
-
Differential Drivers of Psychological Constructs: A Conditional Inference Tree Analysis (2026)
-
A Note on Distance Variance for Categorical Variables (2026)
-
On the connections between Chatterjee's correlation and rank distance correlation (2025)
-
On the asymptotic distributions of some test statistics for two‐way contingency tables (2025)
-
Effect of Ipomoeassin F on the Synthesis of Membrane and Secretory Proteins in Triple-Negative Breast Cancer Cells (2025)
-
On the extensions of the Chatterjee-Spearman test (2025)
-
On the properties of distance covariance for categorical data: Robustness, sure screening, and approximate null distributions (2025)
-
Asymptotic expected sensitivity function and its applications to measures of monotone association (2024)
-
Proteomic analysis reveals the dominant effect of ipomoeassin F on the synthesis of membrane and secretory proteins in triple-negative breast cancer cells (2024)
Federal Grants 5 $7,342,165 total
Investigating the mechanobiology of multicellular morphogenesis
Developing branch stress microscopy for the mechanobiology of 3D morphogenesis and invasive diseases
CAREER: Linking Mechanical Forces and Energy Flow in Collective Cell Migration
Collaboration Network
Top Collaborators
- Model-free feature screening for categorical outcomes: Nonlinear effect detection and false discovery rate control
- Proteomic analysis reveals the dominant effect of ipomoeassin F on the synthesis of membrane and secretory proteins in triple-negative breast cancer cells
- Effect of Ipomoeassin F on the Synthesis of Membrane and Secretory Proteins in Triple-Negative Breast Cancer Cells
- Proteomic analysis reveals the dominant effect of ipomoeassin F on the synthesis of membrane and secretory proteins in triple-negative breast cancer cells
- Proteomic analysis reveals the dominant effect of ipomoeassin F on the synthesis of membrane and secretory proteins in triple-negative breast cancer cells
- Effect of Ipomoeassin F on the Synthesis of Membrane and Secretory Proteins in Triple-Negative Breast Cancer Cells
- A graph-based multi-sample test for identifying pathways associated with cancer progression
- Testing conditional independence and homogeneity in large sparse three‐way tables using conditional distance covariance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance
- Proteomic analysis reveals the dominant effect of ipomoeassin F on the synthesis of membrane and secretory proteins in triple-negative breast cancer cells
- Effect of Ipomoeassin F on the Synthesis of Membrane and Secretory Proteins in Triple-Negative Breast Cancer Cells
- Differential Drivers of Psychological Constructs: A Conditional Inference Tree Analysis
- Factors Associated with Psychological Constructs: A Conditional Inference Tree Analysis
- Differential Drivers of Psychological Constructs: A Conditional Inference Tree Analysis
- Factors Associated with Psychological Constructs: A Conditional Inference Tree Analysis
- Mechanical properties of sound and fissured rice kernels and their implications for rice breakage
- Mechanical properties of sound and fissured rice kernels and their implications for rice breakage
- Identification of Biomarkers for Predicting the Overall Survival of Ovarian Cancer Patients: a Sparse Group Lasso Approach
Similar Researchers
Based on overlapping research topics