Sean Davis

42.0k total citations · 6 hit papers
94 papers, 18.3k citations indexed

About

Sean Davis is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sean Davis has authored 94 papers receiving a total of 18.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 21 papers in Genetics and 20 papers in Cancer Research. Recurrent topics in Sean Davis's work include Gene expression and cancer classification (14 papers), Genomics and Chromatin Dynamics (11 papers) and Cancer Genomics and Diagnostics (10 papers). Sean Davis is often cited by papers focused on Gene expression and cancer classification (14 papers), Genomics and Chromatin Dynamics (11 papers) and Cancer Genomics and Diagnostics (10 papers). Sean Davis collaborates with scholars based in United States, United Kingdom and Germany. Sean Davis's co-authors include Paul S. Meltzer, Naigong Zhang, Kimberly A. Marshall, Hyeseung Lee, Pierre Ledoux, Carlos Evangelista, Katherine Phillippy, Irene F. Kim, Michelle Holko and Tanya Barrett and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sean Davis

90 papers receiving 18.1k citations

Hit Papers

NCBI GEO: archive for functional genomics data sets—update 2005 2026 2012 2019 2012 2007 2005 2008 2013 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Davis United States 47 12.2k 3.9k 2.8k 2.4k 2.3k 94 18.3k
Helga Thorvaldsdóttir United States 8 11.2k 0.9× 4.0k 1.0× 2.5k 0.9× 2.9k 1.2× 2.7k 1.2× 16 18.3k
David Lyon United States 26 11.5k 0.9× 2.8k 0.7× 2.4k 0.9× 2.0k 0.8× 2.1k 0.9× 51 19.1k
Annika L. Gable Switzerland 8 12.5k 1.0× 3.3k 0.9× 2.8k 1.0× 2.1k 0.9× 2.4k 1.1× 8 21.0k
Torben F. Ørntoft Denmark 76 15.0k 1.2× 7.0k 1.8× 2.5k 0.9× 3.5k 1.4× 2.0k 0.9× 261 23.0k
Stefan Wyder Switzerland 18 15.6k 1.3× 4.2k 1.1× 3.3k 1.2× 2.3k 1.0× 2.8k 1.2× 26 25.5k
Jerry Pelletier Canada 83 23.5k 1.9× 2.2k 0.6× 2.8k 1.0× 2.2k 0.9× 1.9k 0.8× 318 28.6k
Xia Li China 64 13.7k 1.1× 8.0k 2.1× 2.0k 0.7× 2.3k 0.9× 2.0k 0.9× 754 20.1k
Tatsuhiko Tsunoda Japan 74 9.6k 0.8× 2.5k 0.6× 1.6k 0.6× 2.5k 1.0× 1.9k 0.8× 277 17.6k
Alberto Santos Denmark 23 10.2k 0.8× 2.8k 0.7× 1.8k 0.7× 1.4k 0.6× 1.5k 0.7× 30 16.3k
Gideon Rechavi Israel 80 18.6k 1.5× 6.0k 1.5× 1.3k 0.5× 3.7k 1.5× 2.8k 1.2× 405 27.0k

Countries citing papers authored by Sean Davis

Since Specialization
Citations

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

Fields of papers citing papers by Sean Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean Davis. 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 Sean Davis. The network helps show where Sean Davis may publish in the future.

Co-authorship network of co-authors of Sean Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Davis. A scholar is included among the top collaborators of Sean Davis 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 Sean Davis. Sean Davis 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.
Abdill, Richard J., Vincent Rubinetti, Daniel McDonald, et al.. (2025). Integration of 168,000 samples reveals global patterns of the human gut microbiome. Cell. 188(4). 1100–1118.e17. 24 indexed citations breakdown →
2.
Drnevich, Jenny, Frederick J. Tan, Fabricio Almeida‐Silva, et al.. (2025). Learning and teaching biological data science in the Bioconductor community. PLoS Computational Biology. 21(4). e1012925–e1012925.
3.
Ma, Xiaotu, Zhaoyu Xue, Hong Wen, et al.. (2024). bamSliceR : a Bioconductor package for rapid, cross-cohort variant and allelic bias analysis. Bioinformatics Advances. 5(1). vbaf098–vbaf098.
4.
Geistlinger, Ludwig, Gergely Csaba, Marcel Ramos, et al.. (2019). Toward a gold standard for benchmarking gene set enrichment analysis. Briefings in Bioinformatics. 22(1). 545–556. 77 indexed citations
5.
Ramos, Marcel, Lucas Schiffer, Angela Re, et al.. (2017). Software for the Integration of Multiomics Experiments in Bioconductor. Cancer Research. 77(21). e39–e42. 61 indexed citations
6.
Yang, Xiaohong R., J. Keith Killian, Sue Hammond, et al.. (2015). Characterization of Genomic Alterations in Radiation-Associated Breast Cancer among Childhood Cancer Survivors, Using Comparative Genomic Hybridization (CGH) Arrays. PLoS ONE. 10(3). e0116078–e0116078. 13 indexed citations
7.
Boufraqech, Myriem, Naris Nilubol, Lisa Zhang, et al.. (2014). miR30a Inhibits LOX Expression and Anaplastic Thyroid Cancer Progression. Cancer Research. 75(2). 367–377. 65 indexed citations
8.
Abaan, Ogan D., Eric C. Polley, Sean Davis, et al.. (2013). The Exomes of the NCI-60 Panel: A Genomic Resource for Cancer Biology and Systems Pharmacology. Cancer Research. 73(14). 4372–4382. 204 indexed citations
9.
Petrini, Iacopo, Arun Rajan, Trung C. Pham, et al.. (2013). Whole Genome and Transcriptome Sequencing of a B3 Thymoma. PLoS ONE. 8(4). e60572–e60572. 25 indexed citations
10.
Hirsch, Daniela, Ralf Kemmerling, Sean Davis, et al.. (2012). Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma. Cancer Research. 73(5). 1454–1460. 76 indexed citations
11.
Francis, Princy, So Young Moon, Sven Bilke, et al.. (2012). Abstract 1113: Role of the microRNA-23∼27∼24 clusters in osteosarcoma. Cancer Research. 72(8_Supplement). 1113–1113. 1 indexed citations
12.
Bolton, Kelly L., Montserrat García‐Closas, Ruth M. Pfeiffer, et al.. (2010). Assessment of Automated Image Analysis of Breast Cancer Tissue Microarrays for Epidemiologic Studies. Cancer Epidemiology Biomarkers & Prevention. 19(4). 992–999. 48 indexed citations
13.
Killian, Jonathan Keith, Robert L. Walker, Miia Suuriniemi, et al.. (2010). Archival Fine-Needle Aspiration Cytopathology (FNAC) Samples. Journal of Molecular Diagnostics. 12(6). 739–745. 81 indexed citations
14.
Killian, Jonathan Keith, Sven Bilke, Sean Davis, et al.. (2009). Large-Scale Profiling of Archival Lymph Nodes Reveals Pervasive Remodeling of the Follicular Lymphoma Methylome. Cancer Research. 69(3). 758–764. 36 indexed citations
15.
Balleine, Rosemary L., Sean Davis, Elizabeth Salisbury, et al.. (2008). Molecular Grading of Ductal Carcinoma In situ of the Breast. Clinical Cancer Research. 14(24). 8244–8252. 47 indexed citations
16.
Durinck, Steffen, Yves Moreau, A. Kasprzyk, et al.. (2005). BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Computer applications in the biosciences. 21(16). 3439–3440. 1376 indexed citations breakdown →
17.
Baird, Kristin, Sean Davis, Cristina R. Antonescu, et al.. (2005). Gene Expression Profiling of Human Sarcomas: Insights into Sarcoma Biology. Cancer Research. 65(20). 9226–9235. 277 indexed citations
18.
Son, Chang‐Gue, Sven Bilke, Sean Davis, et al.. (2005). Database of mRNA gene expression profiles of multiple human organs. Genome Research. 15(3). 443–450. 102 indexed citations
19.
Crawford, Gregory E., Ingeborg Holt, James R. Whittle, et al.. (2005). Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS). Genome Research. 16(1). 123–131. 368 indexed citations
20.
Meltzer, Paul S., Sean Davis, Kristin Baird, & Yidong Chen. (2004). Are we there yet? Genomic profiling and mechanism in cancer research. 6. 1 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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