World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
89
Citations
27846
World Ranking
1125
National Ranking
539

Overview

Dong Xu is affiliated with the University of Missouri in the United States. Their research spans multiple fields primarily within Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology. Their work also extensively covers Artificial Intelligence, Plant Science, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.

The scientist's research topics emphasize single-cell and spatial transcriptomics, machine learning applications in bioinformatics, protein structure and dynamics, bioinformatics and genomic networks, computational drug discovery methods, gene expression and cancer classification, and mechanisms of RNA and protein synthesis.

Dong Xu has published extensively, with frequent contributions appearing in venues including bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Computational and Structural Biotechnology Journal, arXiv (Cornell University), and Nucleic Acids Research.

Their recent notable publications include:

  • "scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses," 2021, Nature Communications
  • "MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization," 2020, Nucleic Acids Research
  • "Large AI Models in Health Informatics: Applications, Challenges, and the Future," 2023, IEEE Journal of Biomedical and Health Informatics
  • "A self-attention based message passing neural network for predicting molecular lipophilicity and aqueous solubility," 2020, Journal of Cheminformatics
  • "Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data," 2022, Nature Communications

Dong Xu collaborates regularly with several researchers, including Juexin Wang, Qin Ma, Duolin Wang, Anjun Ma, and Yuexu Jiang. These frequent coauthors have contributed to many joint publications, evidencing collaborative research efforts.

Best Publications

  • Genome sequence of the palaeopolyploid soybean

    Jeremy Schmutz;Steven B. Cannon;Jessica Schlueter;Jessica Schlueter;Jianxin Ma

  • Hydrogen bonds and salt bridges across protein-protein interfaces.

    Dong Xu;Chung Jung Tsai;Ruth Nussinov

  • Transcriptome dynamics of Deinococcus radiodurans recovering from ionizing radiation

    Yongqing Liu;Jizhong Zhou;Marina V. Omelchenko;Alex S. Beliaev

  • An integrated transcriptome atlas of the crop model Glycine max, and its use in comparative analyses in plants

    Marc Libault;Andrew Farmer;Trupti Joshi;Kaori Takahashi

  • scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses.

    Juexin Wang;Anjun Ma;Yuzhou Chang;Jianting Gong

  • Clustering gene expression data using a graph-theoretic approach: an application of minimum spanning trees.

    Ying Xu;Victor Olman;Dong Xu

  • Inferring gene regulatory networks from multiple microarray datasets

    Yong Wang;Trupti Joshi;Xiang-Sun Zhang;Dong Xu

  • A content-based recommender system for computer science publications

    Donghui Wang;Yanchun Liang;Yanchun Liang;Dong Xu;Dong Xu;Xiaoyue Feng

  • Protein binding versus protein folding: the role of hydrophilic bridges in protein associations

    Dong Xu;Shuo L Lin;Ruth Nussinov;Ruth Nussinov

  • Ultradeep bisulfite sequencing analysis of DNA methylation patterns in multiple gene promoters by 454 sequencing.

    Kristen H. Taylor;Robin S. Kramer;J. Wade Davis;Juyuan Guo

  • A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

    Lourdes Pena-Castillo;Murat Tasan;Chad L Myers;Hyunju Lee

  • Capacitively Coupled Arrays of Multiplexed Flexible Silicon Transistors for Long-Term Cardiac Electrophysiology.

    Hui Fang;Hui Fang;Ki Jun Yu;Ki Jun Yu;Christopher Gloschat;Zijian Yang

  • Epigenome-wide inheritance of cytosine methylation variants in a recombinant inbred population

    Robert J. Schmitz;Yupeng He;Yupeng He;Oswaldo Valdés-López;Saad M. Khan

  • MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.

    Duolin Wang;Shuai Zeng;Chunhui Xu;Wangren Qiu;Wangren Qiu

  • Comparisons among two fertile and three male-sterile mitochondrial genomes of maize.

    James O. Allen;Christiane M. Fauron;Patrick Minx;Leah Roark

  • Musite, a Tool for Global Prediction of General and Kinase-specific Phosphorylation Sites

    Jianjiong Gao;Jay J. Thelen;A. Keith Dunker;Dong Xu

  • Protein threading using PROSPECT: design and evaluation.

    Ying Xu;Dong Xu

  • Using Internet Search Engines to Obtain Medical Information: A Comparative Study

    Liupu Wang;Juexin Wang;Michael Wang;Yong Li

  • Soybean (Glycine max) SWEET gene family: insights through comparative genomics, transcriptome profiling and whole genome re-sequence analysis

    Gunvant Patil;Babu Valliyodan;Rupesh Deshmukh;Silvas Prince

  • Transcriptional and Physiological Responses of Bradyrhizobium japonicum to Desiccation-Induced Stress

    Eddie J. Cytryn;Dipen P. Sangurdekar;John G. Streeter;William L. Franck

Frequent Co-Authors

Trupti Joshi
Trupti Joshi University of Missouri
Ying Xu
Ying Xu University of Georgia
Gary Stacey
Gary Stacey University of Missouri
Henry T. Nguyen
Henry T. Nguyen University of Missouri
Yi Shang
Yi Shang University of Missouri
Babu Valliyodan
Babu Valliyodan University of Missouri
Jianjiong Gao
Jianjiong Gao Memorial Sloan Kettering Cancer Center
Jay J. Thelen
Jay J. Thelen University of Missouri
Yanchun Liang
Yanchun Liang Jilin University
Guohui Lin
Guohui Lin University of Alberta

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