← back to search

Charles Chen

SciencePharma (Poland) · PL
Area of research
Genetics · Infectious Diseases
Research interest
Research interests include SARS-CoV-2 and COVID-19 Research, Genetic and phenotypic traits in livestock, Acute Myeloid Leukemia Research, and Genetic Mapping and Diversity in Plants and Animals.
h-index
40
citations
12,509
works
328
NIH funding
primary concept
email

Recent publications

Longitudinal analysis of a dominantly inherited Alzheimer disease mutation carrier protected from dementia
Nature Medicine 2025cited by 21position: middledoi
Revealing stable SNPs and genomic prediction insights across environments enhance breeding strategies of productivity, defense, and climate-adaptability traits in white spruce.
2025cited by 1position: contributordoi
Correction: Revealing stable SNPs and genomic prediction insights across environments enhance breeding strategies of productivity, defense, and climate-adaptability traits in white spruce.
2025cited by 0position: contributordoi
Toward On-Demand Polymorphic Transitions of Organic Crystals via Side Chain and Lattice Dynamics Engineering
Journal of the American Chemical Society 2024cited by 26position: middledoi
Identification of a major QTL underlying sugar content in peanut kernels based on the RIL mapping population
Frontiers in Plant Science 2024cited by 5position: middledoi
Efficient genomics-based 'end-to-end' selective tree breeding framework.
2024cited by 5position: contributordoi
Development and optimization of expected cross value for mate selection problems
2024cited by 0position: contributordoi
Optimizing expected cross value for genetic introgression
2024cited by 0position: contributordoi
Gene-language models are whole genome representation learners
2024cited by 0position: contributordoi
Development and optimization of expected cross value for mate selection problems.
2024cited by 0position: contributordoi
Sustaining yield and nutritional quality of peanuts in harsh environments: Physiological and molecular basis of drought and heat stress tolerance
Frontiers in Genetics 2023cited by 73position: middledoi
Integrating genomic prediction and genotype specific parameter estimation in ecophysiological models: overview and perspectives
in silico Plants 2023cited by 11position: contributordoi
Weighted kernels improve multi-environment genomic prediction.
2023cited by 5position: contributordoi
Next-Generation Breeding for Nutritional Traits in Peanut
2023cited by 0position: middledoi
Next-Generation Breeding for Nutritional Traits in Peanut
2023cited by 0position: middledoi
<i>TaCol-B5</i> modifies spike architecture and enhances grain yield in wheat
Science 2022cited by 155position: middledoi
<i>TaCol-B5</i> modifies spike architecture and enhances grain yield in wheat.
2022cited by 107position: contributordoi
Improving lodgepole pine genomic evaluation using spatial correlation structure and SNP selection with single-step GBLUP.
2022cited by 9position: contributordoi
Weighted Kernels Improve Multi-Environment Genomic Prediction
2022cited by 0position: contributordoi
Chromosome-scale assembly and evolution of the tetraploid Salvia splendens (Lamiaceae) genome
Horticulture Research 2021cited by 55position: middledoi
Transcriptome Profile Reveals Drought-Induced Genes Preferentially Expressed in Response to Water Deficit in Cultivated Peanut (Arachis hypogaea L.)
Frontiers in Plant Science 2021cited by 18position: lastdoi
Identification of QTLs for resistance to leaf spots in cultivated peanut (Arachis hypogaea L.) through GWAS analysis
Theoretical and Applied Genetics 2020cited by 53position: lastdoi
Identification of potential QTLs and genes associated with seed composition traits in peanut (Arachis hypogaea L.) using GWAS and RNA-Seq analysis
Gene 2020cited by 39position: lastdoi
Mutagenesis of FAD2 Genes in Peanut with CRISPR/Cas9 Based Gene Editing
Vide Leaf, Hyderabad eBooks 2020cited by 6position: middledoi
Evaluation of Runner-Type Peanut Cultivar Tolerance to Paraquat Tank Mixes
Peanut Science 2020cited by 2position: middledoi
Optimize Neural Network Algorithm of Missing Value Imputation for Clustering Chocolate Product Types Following “STEAMS” Methodology
EPiC series in computing 2020cited by 0position: lastdoi
Tau PET in autosomal dominant Alzheimer’s disease: relationship with cognition, dementia and other biomarkers
Brain 2019cited by 182position: middledoi
Mutagenesis of FAD2 genes in peanut with CRISPR/Cas9 based gene editing
BMC Biotechnology 2019cited by 137position: middledoi
GWAS and Coexpression Network Reveal Ionomic Variation in Cultivated Peanut
Journal of Agricultural and Food Chemistry 2019cited by 40position: lastdoi
Nanopore ultra-long read sequencing technology for antimicrobial resistance detection in Mannheimia haemolytica.
2019cited by 16position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

· 16 papers (2019–2025)Yousry Aly El-Kassaby · Canadian Forest Service5 papers (2022–2025)Blaise Ratcliffe · University of British Columbia5 papers (2019–2025)Phat Dang · Agricultural Research Service4 papers (2019–2021)Bryan Naidenov · Oklahoma State University Stillwater4 papers (2019–2024)Eduardo P. Cappa · Consejo Nacional de Investigaciones Científicas y Técnicas4 papers (2022–2025)Edward S. Buckler · Agricultural Research Service4 papers (2012–2015)Hui Zhang · South China Agricultural University3 papers (2019–2020)Yang Liu · Shanxi Agricultural University3 papers (2022–2025)Manish K. Pandey · University of Georgia3 papers (2023–2023)Tao Jiang · University of Florida3 papers (2019–2020)B. R. Thomas · University of Alberta3 papers (2022–2025) · 3 papers (2023–2023)Ming Li Wang · University of Georgia3 papers (2019–2020)Spurthi N. Nayak · University of Florida3 papers (2023–2023)Ye Chu · University of Georgia3 papers (2020–2024)Liangqiong He · Guangxi University2 papers (2019–2020)Limin Gong · Macau University of Science and Technology2 papers (2019–2020) · 2 papers (2020–2023)Peter J. Bradbury · United States Department of Agriculture2 papers (2012–2015)