Fengzhu Sun

14.2k total citations · 4 hit papers
187 papers, 9.0k citations indexed

About

Fengzhu Sun is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Fengzhu Sun has authored 187 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 42 papers in Genetics and 29 papers in Ecology. Recurrent topics in Fengzhu Sun's work include Genomics and Phylogenetic Studies (59 papers), Gene expression and cancer classification (49 papers) and Bioinformatics and Genomic Networks (47 papers). Fengzhu Sun is often cited by papers focused on Genomics and Phylogenetic Studies (59 papers), Gene expression and cancer classification (49 papers) and Bioinformatics and Genomic Networks (47 papers). Fengzhu Sun collaborates with scholars based in United States, China and United Kingdom. Fengzhu Sun's co-authors include Jed A. Fuhrman, Minghua Deng, Ting Chen, Michael S. Waterman, Kui Zhang, Yang Young Lu, Jie Ren, Nathan A. Ahlgren, Shipra Mehta and Jacob A. Cram and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Fengzhu Sun

179 papers receiving 8.8k citations

Hit Papers

Correlation detection strategies in microbial data sets v... 2011 2026 2016 2021 2016 2011 2017 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Correlation detection strategies in microbial data sets vary widely in sensitivity and precision
    2016 542 citations Jed A. Fuhrman, Fengzhu Sun et al. profile →
  2. Marine bacterial, archaeal and protistan association networks reveal ecological linkages
    2011 515 citations Fengzhu Sun, Jed A. Fuhrman et al. profile →
  3. VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data
    2017 400 citations Jie Ren, Yang Young Lu et al. profile →
  4. Identifying viruses from metagenomic data using deep learning
    2020 361 citations Jie Ren, Jed A. Fuhrman et al. profile →

Peers

Fengzhu Sun
Sitao Wu United States
Christophe Dessimoz Switzerland
David Wheeler United States
Carl Kingsford United States
Thomas Dandekar Germany
Martijn A. Huynen Netherlands
Ilene Karsch‐Mizrachi United States
Michael Smoot United States
Ying Xu United States
Gary Benson United States
Sitao Wu United States
Fengzhu Sun
Citations per year, relative to Fengzhu Sun Fengzhu Sun (= 1×) peers Sitao Wu

Countries citing papers authored by Fengzhu Sun

Since Specialization
Citations

This map shows the geographic impact of Fengzhu Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fengzhu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengzhu Sun more than expected).

Fields of papers citing papers by Fengzhu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengzhu Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fengzhu Sun. The network helps show where Fengzhu Sun may publish in the future.

Co-authorship network of co-authors of Fengzhu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Fengzhu Sun. A scholar is included among the top collaborators of Fengzhu Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengzhu Sun. Fengzhu Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kelly, Kevin R., et al.. (2025). DeepDeconUQ estimates malignant cell fraction prediction intervals in bulk RNA-seq tissue. PLoS Computational Biology. 21(6). e1013133–e1013133. 1 indexed citations
2.
3.
Wang, Ziye, et al.. (2024). Effective binning of metagenomic contigs using contrastive multi-view representation learning. Nature Communications. 15(1). 585–585. 26 indexed citations
4.
Hou, Shengwei, Tianqi Tang, Tian Xia, et al.. (2024). DeepMicroClass sorts metagenomic contigs into prokaryotes, eukaryotes and viruses. NAR Genomics and Bioinformatics. 6(2). lqae044–lqae044. 6 indexed citations
5.
Stucky, Andres, et al.. (2024). DeepDecon accurately estimates cancer cell fractions in bulk RNA-seq data. Patterns. 5(5). 100969–100969. 3 indexed citations
6.
Sun, Fengzhu, et al.. (2023). MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data. Nature Communications. 14(1). 6231–6231. 11 indexed citations
7.
Sun, Fengzhu, et al.. (2023). Batch normalization followed by merging is powerful for phenotype prediction integrating multiple heterogeneous studies. PLoS Computational Biology. 19(10). e1010608–e1010608. 3 indexed citations
8.
Fuhrman, Jed A., et al.. (2023). ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data. Nature Communications. 14(1). 502–502. 24 indexed citations
9.
Wang, Beibei, Xin Bai, Yihui Luan, et al.. (2022). 16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis. Scientific Reports. 12(1). 6421–6421. 37 indexed citations
10.
Sun, Fengzhu, et al.. (2022). HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps. Genome biology. 23(1). 63–63. 31 indexed citations
11.
Sun, Fengzhu, et al.. (2022). AC-PCoA: Adjustment for confounding factors using principal coordinate analysis. PLoS Computational Biology. 18(7). e1010184–e1010184. 15 indexed citations
12.
Ning, Kaida, Ben A. Duffy, Meredith Franklin, et al.. (2021). Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging. Neurobiology of Aging. 105. 199–204. 19 indexed citations
13.
Fan, Yingying, et al.. (2021). DeepLINK: Deep learning inference using knockoffs with applications to genomics. Proceedings of the National Academy of Sciences. 118(36). 13 indexed citations
14.
Lu, Yang Young, et al.. (2020). CRAFT: Compact genome Representation toward large-scale Alignment-Free daTabase. Bioinformatics. 37(2). 155–161. 3 indexed citations
15.
You, Ronghui, Shuwei Yao, Yi Xiong, et al.. (2019). NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Research. 47(W1). W379–W387. 90 indexed citations
16.
Chen, Sijie, Yixin Chen, Fengzhu Sun, Michael S. Waterman, & Xuegong Zhang. (2019). A new statistic for efficient detection of repetitive sequences. Bioinformatics. 35(22). 4596–4606. 4 indexed citations
17.
Ren, Jie, et al.. (2019). MicroPro: using metagenomic unmapped reads to provide insights into human microbiota and disease associations. Genome biology. 20(1). 154–154. 28 indexed citations
18.
Tang, Kujin, Jie Ren, & Fengzhu Sun. (2019). Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression. Genome biology. 20(1). 266–266. 17 indexed citations
19.
You, Ronghui, Zihan Zhang, Yi Xiong, et al.. (2018). GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank. Bioinformatics. 34(14). 2465–2473. 123 indexed citations
20.
Bai, Xin, Meng Fang, Shipeng Chen, et al.. (2018). Deep sequencing of HBV pre-S region reveals high heterogeneity of HBV genotypes and associations of word pattern frequencies with HCC. PLoS Genetics. 14(2). e1007206–e1007206. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sitao Wu Breakdown of academic impact, for papers by Christophe Dessimoz Breakdown of academic impact, for papers by David Wheeler Breakdown of academic impact, for papers by Carl Kingsford Breakdown of academic impact, for papers by Thomas Dandekar Breakdown of academic impact, for papers by Martijn A. Huynen Breakdown of academic impact, for papers by Ilene Karsch‐Mizrachi Breakdown of academic impact, for papers by Michael Smoot Breakdown of academic impact, for papers by Ying Xu Breakdown of academic impact, for papers by Gary Benson
Rankless by CCL
2026