Corin Yeats

14.0k total citations · 2 hit papers
33 papers, 2.7k citations indexed

About

Corin Yeats is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Corin Yeats has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Molecular Medicine. Recurrent topics in Corin Yeats's work include Genomics and Phylogenetic Studies (16 papers), Machine Learning in Bioinformatics (7 papers) and Bioinformatics and Genomic Networks (7 papers). Corin Yeats is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Machine Learning in Bioinformatics (7 papers) and Bioinformatics and Genomic Networks (7 papers). Corin Yeats collaborates with scholars based in United Kingdom, United States and Spain. Corin Yeats's co-authors include Alex Bateman, Christine Orengo, David M. Aanensen, Khalil Abudahab, Matthew T. G. Holden, ROBERT FINN, Stephen D. Bentley, Silvia Argimón, Richard Goater and Jonathan Lees and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Communications.

In The Last Decade

Corin Yeats

31 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

2021 551 citations Áine O’Toole, Emily Scher et al. Virus Evolution profile →
Microreact: visualizing and sharing data for genomic epidemiology and phylogeography

2016 456 citations Silvia Argimón, Khalil Abudahab et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Corin Yeats United Kingdom	21	1.2k	817	357	301	288	33	2.7k
Peter J. McNamara United States	17	1.4k 1.1×	1.3k 1.6×	264 0.7×	437 1.5×	268 0.9×	20	2.3k
Bret R. Sellman United States	26	1.2k 1.0×	714 0.9×	327 0.9×	367 1.2×	241 0.8×	41	2.2k
Natalia Małachowa United States	22	1.5k 1.2×	1.6k 2.0×	250 0.7×	218 0.7×	421 1.5×	35	2.8k
Sascha A. Kristian United States	18	1.1k 0.9×	924 1.1×	281 0.8×	232 0.8×	601 2.1×	24	2.4k
Richard J. O’Callaghan United States	36	1.4k 1.1×	716 0.9×	388 1.1×	249 0.8×	363 1.3×	128	3.6k
Sarah W. Satola United States	28	973 0.8×	686 0.8×	735 2.1×	460 1.5×	519 1.8×	78	2.7k
Vijay Pancholi United States	26	1.5k 1.2×	1.0k 1.2×	660 1.8×	372 1.2×	460 1.6×	49	3.6k
Awdhesh Kalia United States	23	878 0.7×	920 1.1×	611 1.7×	221 0.7×	149 0.5×	43	2.6k
Odile Sismeiro France	35	1.7k 1.3×	794 1.0×	316 0.9×	404 1.3×	113 0.4×	75	3.3k
Ken Laing United Kingdom	25	831 0.7×	891 1.1×	729 2.0×	175 0.6×	191 0.7×	57	2.9k

Countries citing papers authored by Corin Yeats

Since Specialization

Citations

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

Fields of papers citing papers by Corin Yeats

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corin Yeats

This figure shows the co-authorship network connecting the top 25 collaborators of Corin Yeats. A scholar is included among the top collaborators of Corin Yeats 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 Corin Yeats. Corin Yeats 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

David, Sophia, Julio Diaz Caballero, Natacha Couto, et al.. (2025). Monitoring antimicrobial resistance trends from global genomics data: amr.watch. PLOS Global Public Health. 5(11). e0005256–e0005256.

Kumar, Narender, Corin Yeats, Benjamin J. Metcalf, et al.. (2025). GPS Pipeline: portable, scalable genomic pipeline for Streptococcus pneumoniae surveillance from Global Pneumococcal Sequencing Project. Nature Communications. 16(1). 8345–8345.

Coll, Francesc, Theodore Gouliouris, Beth Blane, et al.. (2024). Antibiotic resistance determination using Enterococcus faecium whole-genome sequences: a diagnostic accuracy study using genotypic and phenotypic data. The Lancet Microbe. 5(2). e151–e163. 14 indexed citations

Holm, Marianne, Nimesh Poudyal, Patrick Gallagher, et al.. (2023). Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA). Clinical Infectious Diseases. 77(Supplement_7). S500–S506. 6 indexed citations

O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evolution. 7(2). veab064–veab064. 551 indexed citations breakdown →

Argimón, Silvia, Corin Yeats, Richard Goater, et al.. (2021). A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch. Nature Communications. 12(1). 2879–2879. 68 indexed citations

Sánchez-Busó, Leonor, Corin Yeats, Benjamin Taylor, et al.. (2021). A community-driven resource for genomic epidemiology and antimicrobial resistance prediction of Neisseria gonorrhoeae at Pathogenwatch. Genome Medicine. 13(1). 61–61. 68 indexed citations

Sula, Altin, A.R. Cole, Corin Yeats, Christine Orengo, & N.H. Keep. (2014). Crystal structures of the human Dysferlin inner DysF domain. BMC Structural Biology. 14(1). 3–3. 34 indexed citations

Yeats, Corin, Benoît H. Dessailly, Elizabeth M. Glass, Daved H. Fremont, & Christine Orengo. (2014). Target Selection for Structural Genomics of Infectious Diseases. Methods in molecular biology. 1140. 35–51. 2 indexed citations

10.

Brindefalk, Björn, Benoît H. Dessailly, Corin Yeats, et al.. (2013). Evolutionary history of the TBP-domain superfamily. Nucleic Acids Research. 41(5). 2832–2845. 21 indexed citations

11.

Sillitoe, Ian, Alison Cuff, Benoît H. Dessailly, et al.. (2012). New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures. Nucleic Acids Research. 41(D1). D490–D498. 171 indexed citations

12.

Yeats, Corin, et al.. (2011). The Gene3D Web Services: a platform for identifying, annotating and comparing structural domains in protein sequences. Nucleic Acids Research. 39(suppl). W546–W550. 10 indexed citations

13.

Ranea, Juan A. G., Ian Morilla, Jonathan Lees, et al.. (2010). Finding the “Dark Matter” in Human and Yeast Protein Network Prediction and Modelling. PLoS Computational Biology. 6(9). e1000945–e1000945. 15 indexed citations

14.

Lees, Jonathan, et al.. (2009). Gene3D: merging structure and function for a Thousand genomes. Nucleic Acids Research. 38(suppl_1). D296–D300. 39 indexed citations

15.

Izarzugaza, José M. G., et al.. (2009). An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D. BMC Bioinformatics. 10(S8). S5–S5. 10 indexed citations

16.

Ranea, Juan A. G., et al.. (2007). Predicting Protein Function with Hierarchical Phylogenetic Profiles: The Gene3D Phylo-Tuner Method Applied to Eukaryotic Genomes. PLoS Computational Biology. 3(11). e237–e237. 34 indexed citations

17.

Yeats, Corin, Neil D. Rawlings, & Alex Bateman. (2004). The PepSY domain: a regulator of peptidase activity in the microbial environment?. Trends in Biochemical Sciences. 29(4). 169–172. 68 indexed citations

18.

Bateman, Alex, Matthew T. G. Holden, & Corin Yeats. (2004). The G5 domain: a potential N-acetylglucosamine recognition domain involved in biofilm formation. Computer applications in the biosciences. 21(8). 1301–1303. 74 indexed citations

19.

Bentley, Stephen D., Matthias Maiwald, Lee Murphy, et al.. (2003). Sequencing and analysis of the genome of the Whipple's disease bacterium Tropheryma whipplei. The Lancet. 361(9358). 637–644. 161 indexed citations

20.

Yeats, Corin, ROBERT FINN, & Alex Bateman. (2002). The PASTA domain: a β-lactam-binding domain. Trends in Biochemical Sciences. 27(9). 438–440. 184 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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