Audrey Qiuyan Fu
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- Bioinformatics and Genomic Networks 6
- Genomics and Chromatin Dynamics 6
- Gene expression and cancer classification 4
- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 3
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- Genetic Associations and Epidemiology 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic Syndromes and Imprinting 3
- Co-authors
- Jeffrey L. NoebelsGregory A. CoxChao-Ling YangRoderick T. BronsonPeter S. AronsonDaniel BiemesderferWayne N. FrankelCathleen Lutz
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Audrey Qiuyan Fu
27 papers receiving 642 citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 135
- Molecular Biology 473
- Genetics 164
- Aging 5
- Cancer Research 42
Countries citing papers authored by Audrey Qiuyan Fu
This map shows the geographic impact of Audrey Qiuyan Fu'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 Audrey Qiuyan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audrey Qiuyan Fu more than expected).
Fields of papers citing papers by Audrey Qiuyan Fu
This network shows the impact of papers produced by Audrey Qiuyan Fu. 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 Audrey Qiuyan Fu. The network helps show where Audrey Qiuyan Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Audrey Qiuyan Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 41 | |
| 8 | 2019 | 34 | |
| 9 | 2017 | 74 | |
| 10 | 2014 | 46 | |
| 11 | 2013 | 49 | |
| 12 | BAYESIAN CLUSTERING OF REPLICATED TIME-COURSE GENE EXPRESSION DATA WITH WEAK SIGNALS | 2012 | 6 |
| 13 | 2012 | 2 | |
| 14 | 2012 | 11 | |
| 15 | 2009 | 11 | |
| 16 | 2007 | 16 | |
| 17 | Association of SNPs in the leptin and leptin receptor genes with different fat depots in beef cattle. | 2006 | 9 |
| 18 | 2005 | 15 | |
| 19 | A Statistical Characterization of a Simulated Canadian Annual Maximum Rainfall Field. | 2003 | 1 |
| 20 | 1997 | 221 |
About Audrey Qiuyan Fu
Audrey Qiuyan Fu is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 652 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genomics and Chromatin Dynamics (6 papers), Gene expression and cancer classification (4 papers), Genetic Associations and Epidemiology (4 papers), Epigenetics and DNA Methylation (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic Syndromes and Imprinting (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (135 citations), Molecular Biology (473 citations) and Genetics (164 citations). Audrey Qiuyan Fu has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Jeffrey L. Noebels, Gregory A. Cox, Chao-Ling Yang, Roderick T. Bronson, Peter S. Aronson, Daniel Biemesderfer, Wayne N. Frankel, Cathleen Lutz, K White and Xiaoyue Wang. Their work appears in journals such as Cell, Nature Communications and PLoS ONE.
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.