Sean Davey

810 total citations
15 papers, 445 citations indexed

About

Sean Davey is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Sean Davey has authored 15 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Cancer Research. Recurrent topics in Sean Davey's work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (3 papers) and Machine Learning in Bioinformatics (2 papers). Sean Davey is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (3 papers) and Machine Learning in Bioinformatics (2 papers). Sean Davey collaborates with scholars based in United States and Iran. Sean Davey's co-authors include Eric Lyons, D.C. Liebler, Asher Haug-Baltzell, Parker B. Antin, Tatiana A. Yatskievych, Carlos Scheidegger, Amy‐Joan L. Ham, Diana K. Darnell, Jay H. Konieczka and S Sułkowski and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Sean Davey

15 papers receiving 438 citations

Peers

Sean Davey

MB

PS

SPECT

GENET

CR

Sybille Hunt Australia

Aïda Ouangraoua Canada

Markus Brosch United Kingdom

Stephen Keenan United Kingdom

Martin Vingron Germany

Jon M. Laurent United States

Sergio Contrino United Kingdom

Jong Bhak South Korea

Chern Han Yong Singapore

Gordana Apic Germany

Sybille Hunt Australia

Sean Davey

291 ×0.9

MB

66 ×0.6

PS

135 ×1.5

SPECT

90 ×1.2

GENET

24 ×0.7

CR

Citations per year, relative to Sean Davey Sean Davey (= 1×) peers Sybille Hunt

Countries citing papers authored by Sean Davey

Since Specialization

Citations

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

Fields of papers citing papers by Sean Davey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Davey

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

All Works

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15 of 15 papers shown

1.

Strand, R. J., Sean Davey, Dean Lavelle, et al.. (2023). PhytoOracle: Scalable, modular phenomics data processing pipelines. Frontiers in Plant Science. 14. 1112973–1112973. 8 indexed citations

2.

McCarthy, Fiona, Ken Pendarvis, Amanda M. Cooksey, et al.. (2019). Chickspress: a resource for chicken gene expression. Database. 2019. 14 indexed citations

3.

Nelson, Andrew D. L., Asher Haug-Baltzell, Sean Davey, Brian D. Gregory, & Eric Lyons. (2018). EPIC-CoGe: managing and analyzing genomic data. Bioinformatics. 34(15). 2651–2653. 20 indexed citations

4.

Hahn-Powell, Gus, et al.. (2018). Science Citation Knowledge Extractor. SHILAP Revista de lepidopterología. 3. 3 indexed citations

5.

Haug-Baltzell, Asher, et al.. (2017). SynMap2 and SynMap3D: web-based whole-genome synteny browsers. Bioinformatics. 33(14). 2197–2198. 101 indexed citations

6.

Bomhoff, Matthew, et al.. (2017). CoGe LoadExp+: A web‐based suite that integrates next‐generation sequencing data analysis workflows and visualization. Plant Direct. 1(2). 13 indexed citations

7.

Joyce, Blake L., Asher Haug-Baltzell, Sean Davey, et al.. (2016). FractBias: a graphical tool for assessing fractionation bias following polyploidy. Bioinformatics. 33(4). 552–554. 12 indexed citations

8.

Antin, Parker B., Tatiana A. Yatskievych, Sean Davey, & Diana K. Darnell. (2013). GEISHA: an evolving gene expression resource for the chicken embryo. Nucleic Acids Research. 42(D1). D933–D937. 28 indexed citations

9.

Konieczka, Jay H., Kevin Drew, Alex Pine, et al.. (2009). BioNetBuilder2.0: bringing systems biology to chicken and other model organisms. BMC Genomics. 10(S2). S6–S6. 27 indexed citations

10.

Darnell, Diana K., Simran Kaur, S Sułkowski, et al.. (2007). GEISHA: an in situ hybridization gene expression resource for the chicken embryo. Cytogenetic and Genome Research. 117(1-4). 30–35. 68 indexed citations

11.

Antin, Parker B., Simran Kaur, S Sułkowski, et al.. (2007). Gallus Expression In Situ Hybridization Analysis: A Chicken Embryo Gene Expression Database. Poultry Science. 86(7). 1472–1477. 13 indexed citations

12.

Davey, Sean, et al.. (2005). P-Mod: An Algorithm and Software To Map Modifications To Peptide Sequences Using Tandem MS Data. Journal of Proteome Research. 4(2). 358–368. 77 indexed citations

13.

Davey, Sean, et al.. (2003). Sequenced subset operators: definition and implementation. tr 62. 81–92. 11 indexed citations

14.

Collberg, Christian, Sean Davey, & Todd A. Proebsting. (2002). Language-agnostic program rendering for presentation, debugging and visualization. 5. 183–190. 1 indexed citations

15.

Liebler, D.C., et al.. (2001). Peptide Sequence Motif Analysis of Tandem MS Data with the SALSA Algorithm. Analytical Chemistry. 74(1). 203–210. 49 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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