Yi‐Hui Zhou

10.1k total citations
51 papers, 867 citations indexed

About

Yi‐Hui Zhou is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Yi‐Hui Zhou has authored 51 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Artificial Intelligence. Recurrent topics in Yi‐Hui Zhou's work include Gut microbiota and health (8 papers), Gene expression and cancer classification (8 papers) and Cystic Fibrosis Research Advances (6 papers). Yi‐Hui Zhou is often cited by papers focused on Gut microbiota and health (8 papers), Gene expression and cancer classification (8 papers) and Cystic Fibrosis Research Advances (6 papers). Yi‐Hui Zhou collaborates with scholars based in United States, China and Japan. Yi‐Hui Zhou's co-authors include Paul J. Gallins, Fred A. Wright, Kai Xia, Ivan Rusyn, Weihsueh A. Chiu, John S. House, Dereje D. Jima, Fabian A. Grimm, Tao Hu and Zunwei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Yi‐Hui Zhou

48 papers receiving 851 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yi‐Hui Zhou United States 16 458 82 79 78 78 51 867
Xiaopeng Zhang China 22 496 1.1× 27 0.3× 148 1.9× 53 0.7× 54 0.7× 62 1.7k
Kern Rei Chng Singapore 16 952 2.1× 112 1.4× 76 1.0× 140 1.8× 151 1.9× 26 1.5k
Marlene Dalgaard Denmark 20 757 1.7× 58 0.7× 78 1.0× 271 3.5× 73 0.9× 41 1.5k
Xiaoyi Xu China 20 549 1.2× 18 0.2× 74 0.9× 44 0.6× 109 1.4× 87 1.3k
Kyoung Seob Song South Korea 21 526 1.1× 59 0.7× 160 2.0× 25 0.3× 70 0.9× 69 1.4k
Joseph F. Heyse United States 24 299 0.7× 54 0.7× 293 3.7× 78 1.0× 138 1.8× 67 2.3k
Helena Geys Belgium 25 210 0.5× 76 0.9× 126 1.6× 84 1.1× 165 2.1× 93 2.1k
Tomisato Miura Japan 20 559 1.2× 23 0.3× 88 1.1× 86 1.1× 179 2.3× 96 1.5k
Bo Pang China 14 514 1.1× 30 0.4× 90 1.1× 69 0.9× 182 2.3× 62 1.4k

Countries citing papers authored by Yi‐Hui Zhou

Since Specialization
Citations

This map shows the geographic impact of Yi‐Hui Zhou'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 Yi‐Hui Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Hui Zhou more than expected).

Fields of papers citing papers by Yi‐Hui Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Hui Zhou. 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 Yi‐Hui Zhou. The network helps show where Yi‐Hui Zhou may publish in the future.

Co-authorship network of co-authors of Yi‐Hui Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Hui Zhou. A scholar is included among the top collaborators of Yi‐Hui Zhou 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 Yi‐Hui Zhou. Yi‐Hui Zhou 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.
Perrin, Hannah J., Swarooparani Vadlamudi, Amy S. Etheridge, et al.. (2025). Genetic effects on chromatin accessibility uncover mechanisms of liver gene regulation and quantitative traits. Genome Research. 35(7). 1485–1502.
2.
Zhou, Yi‐Hui, Paul J. Gallins, Ivan Rusyn, & Fred A. Wright. (2025). An approach to uncover significant direct and mediated relationships in multi-dimensional new approach methods (NAMs) data: A case study of hazard evaluation of petroleum UVCBs. The Science of The Total Environment. 985. 179724–179724.
3.
Stonebraker, Jaclyn R., Rhonda G. Pace, Paul J. Gallins, et al.. (2024). Genetic variation in severe cystic fibrosis liver disease is associated with novel mechanisms for disease pathogenesis. Hepatology. 80(5). 1012–1025. 2 indexed citations
4.
Zhou, Yi‐Hui, Fred A. Wright, Alexander Sedykh, et al.. (2024). Hazard and risk characterization of 56 structurally diverse PFAS using a targeted battery of broad coverage assays using six human cell types. Toxicology. 503. 153763–153763. 8 indexed citations
5.
Zhou, Yi‐Hui, Fred A. Wright, Vijay K. Gombar, et al.. (2024). Characterizing PFAS hazards and risks: a human population-based in vitro cardiotoxicity assessment strategy. Human Genomics. 18(1). 92–92. 6 indexed citations
6.
Rosenfeld, Margaret, Anna Faino, Pingping Qu, et al.. (2023). Association of Pseudomonas aeruginosa infection stage with lung function trajectory in children with cystic fibrosis. Journal of Cystic Fibrosis. 22(5). 857–863. 6 indexed citations
7.
Zhou, Yi‐Hui, Paul J. Gallins, Amy S. Etheridge, et al.. (2022). A resource for integrated genomic analysis of the human liver. Scientific Reports. 12(1). 15151–15151. 2 indexed citations
8.
Zhou, Yi‐Hui, et al.. (2022). Improve the Colorectal Cancer Diagnosis Using Gut Microbiome Data. Frontiers in Molecular Biosciences. 9. 921945–921945. 4 indexed citations
9.
Zhou, Yi‐Hui, et al.. (2022). C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial data. BMC Bioinformatics. 23(1). 468–468. 2 indexed citations
10.
Sun, Quan, Yingxi Yang, Jonathan D. Rosen, et al.. (2022). MagicalRsq: Machine-learning-based genotype imputation quality calibration. The American Journal of Human Genetics. 109(11). 1986–1997. 10 indexed citations
11.
Rosenfeld, Margaret, Anna Faino, Frankline Onchiri, et al.. (2021). Comparing encounter-based and annualized chronic pseudomonas infection definitions in cystic fibrosis. Journal of Cystic Fibrosis. 21(1). 40–44. 6 indexed citations
12.
Raraigh, Karen S., Melis A. Aksit, Kurt N. Hetrick, et al.. (2021). Complete CFTR gene sequencing in 5,058 individuals with cystic fibrosis informs variant-specific treatment. Journal of Cystic Fibrosis. 21(3). 463–470. 17 indexed citations
13.
Marvel, Skylar W., John S. House, Matthew W. Wheeler, et al.. (2021). The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning. Environmental Health Perspectives. 129(1). 17701–17701. 58 indexed citations
14.
Wright, Fred A., et al.. (2020). Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease Prediction. Frontiers in Molecular Biosciences. 7. 610845–610845. 9 indexed citations
15.
Gallins, Paul J., et al.. (2020). Exploring the Limits of Combined Image/'omics Analysis for Non-cancer Histological Phenotypes. Frontiers in Genetics. 11. 555886–555886. 5 indexed citations
16.
Huang, Keyi, Ming Li, Yajun Liu, et al.. (2019). Functional Analysis of 3-Dehydroquinate Dehydratase/Shikimate Dehydrogenases Involved in Shikimate Pathway in Camellia sinensis. Frontiers in Plant Science. 10. 1268–1268. 22 indexed citations
17.
Zhou, Yi‐Hui & Paul J. Gallins. (2019). A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction. Frontiers in Genetics. 10. 579–579. 111 indexed citations
18.
Zhou, Yi‐Hui, Paul Brooks, & Tony Wang. (2017). A Two-Stage Hidden Markov Model Design for Biomarker Detection, with Application to Microbiome Research. Statistics in Biosciences. 10(1). 41–58. 5 indexed citations
19.
Luizon, Marcelo R., Walter L. Eckalbar, Yao Wang, et al.. (2016). Genomic Characterization of Metformin Hepatic Response. PLoS Genetics. 12(11). e1006449–e1006449. 40 indexed citations
20.
Li, Yun, Wei Chen, Eric Yi Liu, & Yi‐Hui Zhou. (2012). Single Nucleotide Polymorphism (SNP) Detection and Genotype Calling from Massively Parallel Sequencing (MPS) Data. Statistics in Biosciences. 5(1). 3–25. 14 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.

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