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D-Index & Metrics

Genetics

D-Index
65
Citations
17106
World Ranking
2688
National Ranking
1180

Research.com Recognitions

  • 2015 - Fellow of the American Statistical Association (ASA)
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Fengzhu Sun is affiliated with the University of Southern California in the United States. Their research spans various aspects of biochemistry, genetics, and molecular biology, with a particular focus on molecular biology as the main subfield. Other notable subfields include ecology, genetics, infectious diseases, and cancer research.

The scientist has contributed significantly to topics such as genomics and phylogenetic studies, gene expression and cancer classification, bacteriophages and microbial interactions, gut microbiota and health, bioinformatics and genomic networks, microbial community ecology and physiology, and metabolomics and mass spectrometry studies.

Frequent coauthors associated with Fengzhu Sun include Yuxuan Du, Jed A. Fuhrman, Yihui Luan, Sonia Michail, and Beibei Wang.

Common publication venues for Sun's work include bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Journal of Computational Biology, Scientific Reports, and PLoS Computational Biology.

Recent papers associated with Fengzhu Sun cover various areas of biology and computational methods:

  • Identifying viruses from metagenomic data using deep learning, 2020, Quantitative Biology
  • Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants, 2020, Scientific Reports
  • A network-based integrated framework for predicting virus-prokaryote interactions, 2020, NAR Genomics and Bioinformatics
  • Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer, 2022, Nature Communications
  • 16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis, 2022, Scientific Reports

Sun's work has been recognized through fellowships in professional scientific organizations:

  • Fellow of the American Statistical Association (ASA), 2015
  • Fellow of the American Association for the Advancement of Science (AAAS), 2012

Best Publications

  • Inferring domain-domain interactions from protein-protein interactions

    Minghua Deng;Shipra Mehta;Fengzhu Sun;Ting Chen

  • Prediction of protein function using protein-protein interaction data.

    Minghua Deng;Kui Zhang;Shipra Mehta;Ting Chen

  • Correlation detection strategies in microbial data sets vary widely in sensitivity and precision

    Sophie Weiss;Will Van Treuren;Catherine Lozupone;Karoline Faust;Karoline Faust

  • Marine bacterial, archaeal and protistan association networks reveal ecological linkages.

    Joshua A. Steele;Peter D. Countway;Li Xia;Patrick D. Vigil

  • Identifying viruses from metagenomic data using deep learning.

    Jie Ren;Kai Song;Chao Deng;Nathan A. Ahlgren

  • VirFinder: a novel k -mer based tool for identifying viral sequences from assembled metagenomic data

    Jie Ren;Nathan A. Ahlgren;Nathan A. Ahlgren;Yang Young Lu;Jed A. Fuhrman

  • A dynamic programming algorithm for haplotype block partitioning

    Kui Zhang;Minghua Deng;Ting Chen;Michael S. Waterman

  • Taq DNA polymerase slippage mutation rates measured by PCR and quasi‐likelihood analysis: (CA/GT)n and (A/T)n microsatellites

    Deepali Shinde;Yinglei Lai;Fengzhu Sun;Norman Arnheim

  • Haplotype Block Structure and Its Applications to Association Studies: Power and Study Designs

    Kui Zhang;Peter Calabrese;Magnus Nordborg;Fengzhu Sun

  • Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors

    Quansong Ruan;Debojyoti Dutta;Michael S. Schwalbach;Joshua A. Steele

  • The Relationship Between Microsatellite Slippage Mutation Rate and the Number of Repeat Units

    Yinglei Lai;Fengzhu Sun

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

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

  • Clustering of Caucasian Leber hereditary optic neuropathy patients containing the 11778 or 14484 mutations on an mtDNA lineage.

    Brown;F. Sun;D.C. Wallace

  • Alignment-free $d_2^*$ oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences

    Nathan A. Ahlgren;Jie Ren;Yang Young Lu;Jed A. Fuhrman

  • CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA.

    Shuli Kang;Qingjiao Li;Quan Chen;Yonggang Zhou

  • Assessment of the reliability of protein-protein interactions and protein function prediction.

    Minghua Deng;Fengzhu Sun;Ting Chen

  • An integrated probabilistic model for functional prediction of proteins.

    Minghua Deng;Ting Chen;Fengzhu Sun

  • Extended local similarity analysis (eLSA) of microbial community and other time series data with replicates

    Li C Xia;Joshua A Steele;Joshua A Steele;Jacob A Cram;Zoe G Cardon

  • Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies

    Kui Zhang;Zhaohui S. Qin;Jun S. Liu;Ting Chen

  • Alignment-free sequence comparison (I): statistics and power.

    Gesine Reinert;David Chew;Fengzhu Sun;Michael S. Waterman

Frequent Co-Authors

Michael S. Waterman
Michael S. Waterman University of Southern California
Jed A. Fuhrman
Jed A. Fuhrman University of Southern California
Gesine Reinert
Gesine Reinert University of Oxford
Shanfeng Zhu
Shanfeng Zhu Fudan University
Rui Jiang
Rui Jiang Beijing Jiaotong University
Xuegong Zhang
Xuegong Zhang Tsinghua University
Hiroshi Mamitsuka
Hiroshi Mamitsuka Kyoto University
Arthur W. Toga
Arthur W. Toga University of Southern California
Jianfeng Feng
Jianfeng Feng Fudan University
Hongyu Zhao
Hongyu Zhao Yale University

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