Christopher J. Creevey

12.5k total citations · 5 hit papers
103 papers, 7.9k citations indexed

About

Christopher J. Creevey is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Christopher J. Creevey has authored 103 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 27 papers in Agronomy and Crop Science and 27 papers in Genetics. Recurrent topics in Christopher J. Creevey's work include Genomics and Phylogenetic Studies (51 papers), Ruminant Nutrition and Digestive Physiology (22 papers) and Genetic diversity and population structure (12 papers). Christopher J. Creevey is often cited by papers focused on Genomics and Phylogenetic Studies (51 papers), Ruminant Nutrition and Digestive Physiology (22 papers) and Genetic diversity and population structure (12 papers). Christopher J. Creevey collaborates with scholars based in United Kingdom, Ireland and Germany. Christopher J. Creevey's co-authors include Peer Bork, Christian von Mering, Tobias Doerks, James O. McInerney, Alexander Röth, Lars Juhl Jensen, Michael Kuhn, Melissa M. Pentony, ‎Berend Snel and Francesca D. Ciccarelli and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Christopher J. Creevey

103 papers receiving 7.8k citations

Hit Papers

STRING 8--a global view on proteins and their functional ... 2006 2026 2012 2019 2008 2006 2006 2013 2024 500 1000 1.5k

Peers

Christopher J. Creevey
Sitao Wu United States
Ruibang Luo Hong Kong
Jason R. Grant Switzerland
James R. Brown United States
Andrew Whitwham United Kingdom
Aleksey V. Zimin United States
Sitao Wu United States
Christopher J. Creevey
Citations per year, relative to Christopher J. Creevey Christopher J. Creevey (= 1×) peers Sitao Wu

Countries citing papers authored by Christopher J. Creevey

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Creevey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Creevey. 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 Christopher J. Creevey. The network helps show where Christopher J. Creevey may publish in the future.

Co-authorship network of co-authors of Christopher J. Creevey

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Creevey. A scholar is included among the top collaborators of Christopher J. Creevey 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 Christopher J. Creevey. Christopher J. Creevey 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.
Kelly, Stephen A., N.H. O’Connell, Thomas P. Thompson, et al.. (2024). A novel characterized multi-drug-resistant Pseudocitrobacter sp. isolated from a patient colonized while admitted to a tertiary teaching hospital. Journal of Hospital Infection. 145. 193–202. 2 indexed citations
2.
Gonçalves, Osiel Silva, et al.. (2024). Insights into plant interactions and the biogeochemical role of the globally widespread Acidobacteriota phylum. Soil Biology and Biochemistry. 192. 109369–109369. 75 indexed citations breakdown →
3.
Rubino, Francesco, Christopher J. Creevey, Seppo Ahvenjärvi, et al.. (2024). Integrating microbial abundance time series with fermentation dynamics of the rumen microbiome via mathematical modelling. PLoS ONE. 19(3). e0298930–e0298930. 5 indexed citations
4.
Creevey, Christopher J., et al.. (2024). Accessory genes define species-specific routes to antibiotic resistance. Life Science Alliance. 7(4). e202302420–e202302420. 4 indexed citations
5.
Kelly, Shane, N.H. O’Connell, Thomas P. Thompson, et al.. (2023). Large-scale characterization of hospital wastewater system microbiomes and clinical isolates from infected patients: profiling of multi-drug-resistant microbial species. Journal of Hospital Infection. 141. 152–166. 14 indexed citations
6.
Clare, Amanda, et al.. (2023). StORF-Reporter: finding genes between genes. Nucleic Acids Research. 51(21). 11504–11517. 1 indexed citations
8.
McCarthy, Charley, Peter O. Mulhair, Karen Siu-Ting, Christopher J. Creevey, & Mary J. O’Connell. (2022). Improving Orthologous Signal and Model Fit in Datasets Addressing the Root of the Animal Phylogeny. Molecular Biology and Evolution. 40(1). 9 indexed citations
9.
Creevey, Christopher J., et al.. (2022). Using the forces of hydrodynamic countercurrent chromatography for the study of bacteriophages. Access Microbiology. 4(2). 310–310. 1 indexed citations
10.
Aubrey, Wayne, et al.. (2021). No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study. Bioinformatics. 38(5). 1198–1207. 27 indexed citations
11.
Siu-Ting, Karen, et al.. (2021). Long-Term Effects of Dietary Supplementation with Olive Oil and Hydrogenated Vegetable Oil on the Rumen Microbiome of Dairy Cows. Microorganisms. 9(6). 1121–1121. 9 indexed citations
12.
Nicholls, Samuel M., Wayne Aubrey, Kurt De Grave, et al.. (2020). On the complexity of haplotyping a microbial community. Bioinformatics. 37(10). 1360–1366. 13 indexed citations
13.
Wilkinson, Mark, et al.. (2020). Insights into the skin of caecilian amphibians from gene expression profiles. BMC Genomics. 21(1). 515–515. 6 indexed citations
14.
Schiffer, Philipp H., Étienne Danchin, Ann M. Burnell, et al.. (2019). Signatures of the Evolution of Parthenogenesis and Cryptobiosis in the Genomes of Panagrolaimid Nematodes. iScience. 21. 587–602. 29 indexed citations
15.
Wilkinson, Toby, Sharon Huws, Joan E. Edwards, et al.. (2018). CowPI: A Rumen Microbiome Focussed Version of the PICRUSt Functional Inference Software. Frontiers in Microbiology. 9. 1095–1095. 110 indexed citations
16.
Barth, Susanne, David Marshall, Linda Milne, et al.. (2016). An ultra-high density genetic linkage map of perennial ryegrass (Lolium perenne) using genotyping by sequencing (GBS) based on a reference shotgun genome assembly. Annals of Botany. 118(1). 71–87. 18 indexed citations
17.
Mullen, Michael P., John F. Kearney, Sinéad M. Waters, et al.. (2013). Development of a custom SNP chip for dairy and beef cattle breeding, parentage and research. Bulletin - International Bull Evaluation Service/Interbull bulletin. 58–66. 18 indexed citations
18.
Powell, Sean, Sofia K. Forslund, Damian Szklarczyk, et al.. (2013). eggNOG v4.0: nested orthology inference across 3686 organisms. Nucleic Acids Research. 42(D1). D231–D239. 492 indexed citations breakdown →
19.
Sorek, Rotem, Yiwen Zhu, Christopher J. Creevey, et al.. (2007). Genome-Wide Experimental Determination of Barriers to Horizontal Gene Transfer. Science. 318(5855). 1449–1452. 307 indexed citations
20.
McInerney, James O. & Christopher J. Creevey. (2004). CLANN: Software for supertree analysis. Bioinformatics. 2 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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