Swneke D. Bailey

4.4k total citations
33 papers, 1.6k citations indexed

About

Swneke D. Bailey is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Swneke D. Bailey has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Genetics and 5 papers in Surgery. Recurrent topics in Swneke D. Bailey's work include Genomics and Chromatin Dynamics (11 papers), Genetic Associations and Epidemiology (9 papers) and Epigenetics and DNA Methylation (5 papers). Swneke D. Bailey is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Genetic Associations and Epidemiology (9 papers) and Epigenetics and DNA Methylation (5 papers). Swneke D. Bailey collaborates with scholars based in Canada, United States and Argentina. Swneke D. Bailey's co-authors include Mathieu Lupien, Xiaoyang Zhang, Richard Cowper‐Sal·lari, Jason H. Moore, James C. Engert, Jérôme Eeckhoute, Michael D. Cole, Jason Wright, Ron Do and Marie‐Claude Vohl and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Swneke D. Bailey

31 papers receiving 1.6k citations

Peers

Swneke D. Bailey

GENET

EDM

SURGE

Armand Valsesia Switzerland

Shang‐Ling Pan China

Gary S. Pittman United States

Agnieszka Paziewska Poland

Bert Delvoux Netherlands

Weibin Wu China

Michael E. Grossmann United States

Philippe Couvert France

Maode Lai China

Xin Sheng China

Armand Valsesia Switzerland

Swneke D. Bailey

1.2k ×1.2

368 ×0.8

GENET

321 ×1.1

101 ×0.6

EDM

101 ×0.6

SURGE

Citations per year, relative to Swneke D. Bailey Swneke D. Bailey (= 1×) peers Armand Valsesia

Countries citing papers authored by Swneke D. Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Swneke D. Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swneke D. Bailey. 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 Swneke D. Bailey. The network helps show where Swneke D. Bailey may publish in the future.

Co-authorship network of co-authors of Swneke D. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Swneke D. Bailey. A scholar is included among the top collaborators of Swneke D. Bailey 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 Swneke D. Bailey. Swneke D. Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shimshoni, Elee, Nicholas Bertos, Swneke D. Bailey, et al.. (2025). Patient-derived esophageal adenocarcinoma organ chip: a physiologically relevant platform for functional precision oncology. Journal of Translational Medicine. 23(1). 577–577. 2 indexed citations

Giannias, Betty, Sophie Camilleri‐Broët, Nicholas Bertos, et al.. (2024). HiChIP-Based Epigenomic Footprinting Identifies a Promoter Variant of UXS1 That Confers Genetic Susceptibility to Gastroesophageal Cancer. Cancer Research. 84(14). 2377–2389.

Gertz, Jason, et al.. (2024). 3D genomic analysis reveals novel enhancer-hijacking caused by complex structural alterations that drive oncogene overexpression. Nature Communications. 15(1). 6130–6130. 8 indexed citations

Li, Fuyuan, Shangzi Wang, Lian Chen, et al.. (2024). Chromatin interaction maps identify oncogenic targets of enhancer duplications in cancer. Genome Research. 34(10). 1514–1527. 1 indexed citations

Shimshoni, Elee, Viktor J. Horváth, Joseph A. Caruso, et al.. (2023). Epithelial-Stromal Interactions in Barrett’s Esophagus Modeled in Human Organ Chips. SHILAP Revista de lepidopterología. 2(5). 676–680. 7 indexed citations

Shen, Michelle, et al.. (2022). To bind or not to bind: Cistromic reprogramming in prostate cancer. Frontiers in Oncology. 12. 6 indexed citations

Liu, Yanli, Zhong Wu, Jin Zhou, et al.. (2021). A predominant enhancer co-amplified with the SOX2 oncogene is necessary and sufficient for its expression in squamous cancer. Nature Communications. 12(1). 7139–7139. 24 indexed citations

Sangwan, Veena, Sophie Camilleri‐Broët, Roni Rayes, et al.. (2021). Inhibition of LPS-mediated TLR4 activation abrogates gastric adenocarcinoma-associated peritoneal metastasis. Clinical & Experimental Metastasis. 39(2). 323–333. 10 indexed citations

Liu, Yanli, Bingqian Guo, Jin Zhou, et al.. (2020). Chromatin Looping Shapes KLF5-Dependent Transcriptional Programs in Human Epithelial Cancers. Cancer Research. 80(24). 5464–5477. 32 indexed citations

10.

Bailey, Swneke D., et al.. (2018). C3D: a tool to predict 3D genomic interactions between cis-regulatory elements. Bioinformatics. 35(5). 877–879. 9 indexed citations

11.

Reddon, Hudson, Hertzel C. Gerstein, James C. Engert, et al.. (2016). Physical activity and genetic predisposition to obesity in a multiethnic longitudinal study. Scientific Reports. 6(1). 18672–18672. 65 indexed citations

12.

Bailey, Swneke D., Kinjal Desai, Ken J. Kron, et al.. (2016). Noncoding somatic and inherited single-nucleotide variants converge to promote ESR1 expression in breast cancer. Nature Genetics. 48(10). 1260–1266. 57 indexed citations

13.

Zhang, Xiaoyang, Swneke D. Bailey, & Mathieu Lupien. (2014). Laying a solid foundation for Manhattan – ‘setting the functional basis for the post-GWAS era’. Trends in Genetics. 30(4). 140–149. 71 indexed citations

14.

Kron, Ken J., Swneke D. Bailey, & Mathieu Lupien. (2014). Enhancer alterations in cancer: a source for a cell identity crisis. Genome Medicine. 6(9). 77–77. 34 indexed citations

15.

Molyneux, Sam D., Paul Waterhouse, Dawne N. Shelton, et al.. (2014). Human somatic cell mutagenesis creates genetically tractable sarcomas. Nature Genetics. 46(9). 964–972. 23 indexed citations

16.

Bailey, Swneke D., Changchun Xie, Guillaume Paré, et al.. (2013). Variation at the DPP4 locus influences apolipoprotein B levels in South Asians and exhibits heterogeneity in Europeans related to BMI. Diabetologia. 57(4). 738–745. 9 indexed citations

17.

Zhang, Xiaoyang, Richard Cowper‐Sal·lari, Swneke D. Bailey, Jason H. Moore, & Mathieu Lupien. (2012). Integrative functional genomics identifies an enhancer looping to the SOX9 gene disrupted by the 17q24.3 prostate cancer risk locus. Genome Research. 22(8). 1437–1446. 89 indexed citations

18.

Do, Ron, Changchun Xie, Xiaohe Zhang, et al.. (2011). The Effect of Chromosome 9p21 Variants on Cardiovascular Disease May Be Modified by Dietary Intake: Evidence from a Case/Control and a Prospective Study. PLoS Medicine. 8(10). e1001106–e1001106. 66 indexed citations

19.

Dastani, Zari, Päivi Pajukanta, Michel Marcil, et al.. (2009). Fine mapping and association studies of a high-density lipoprotein cholesterol linkage region on chromosome 16 in French-Canadian subjects. European Journal of Human Genetics. 18(3). 342–347. 16 indexed citations

20.

Jackson, Marcus, et al.. (2007). Genetic pathways and mutation profiles of human cancers: site- and exposure-specific patterns. Carcinogenesis. 28(9). 1851–1858. 97 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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