Corin Yeats
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 1%
- Reproductive tract infections research
Papers in
-
- Genomics and Phylogenetic Studies 13
- Bioinformatics and Genomic Networks 7
- Machine Learning in Bioinformatics 6
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 3
- Genetics 5
- Co-authors
- Alex Bateman (5 shared papers)Christine Orengo (13 shared papers)Khalil Abudahab (6 shared papers)David M. Aanensen (8 shared papers)Matthew T. G. Holden (4 shared papers)ROBERT FINN (1 shared paper)Stephen D. Bentley (4 shared papers)Silvia Argimón (5 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Trends in Biochemical Sciences (3 papers)Nature Communications (2 papers)Bioinformatics (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Corin Yeats
33 papers receiving 2.7k citations
Corin Yeats's Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Medicine 224
- Microbiology 273
- Infectious Diseases 761
- Endocrinology 151
- Molecular Biology 1.1k
Countries citing papers authored by Corin Yeats
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
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-authors
The 25 scholars most cited alongside Corin Yeats, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool Hit paper breakdown → | 2021 | 563 |
| 2 | Microreact: visualizing and sharing data for genomic epidemiology and phylogeography Hit paper breakdown → | 2016 | 471 |
| 3 | 2002 | 184 | |
| 4 | 2012 | 171 | |
| 5 | 2003 | 162 | |
| 6 | 2012 | 153 | |
| 7 | 2005 | 148 | |
| 8 | 2003 | 99 | |
| 9 | 2011 | 82 | |
| 10 | 2004 | 75 | |
| 11 | 2003 | 75 | |
| 12 | 2021 | 72 | |
| 13 | 2021 | 71 | |
| 14 | 2004 | 69 | |
| 15 | 2013 | 43 | |
| 16 | 2009 | 39 | |
| 17 | 2014 | 34 | |
| 18 | 2007 | 34 | |
| 19 | 2010 | 31 | |
| 20 | 2007 | 24 |
About Corin Yeats
Corin Yeats is a scholar working on Molecular Biology, Genetics, Ecology, Microbiology and Infectious Diseases, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (224 citations), Microbiology (273 citations), Infectious Diseases (761 citations), Endocrinology (151 citations) and Molecular Biology (1.1k citations). Corin Yeats has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Alex Bateman, Christine Orengo, Khalil Abudahab, David M. Aanensen, Matthew T. G. Holden, ROBERT FINN, Stephen D. Bentley, Silvia Argimón, Richard Goater and Jonathan Lees. Their work appears in journals such as Nucleic Acids Research, Trends in Biochemical Sciences, Nature Communications, Bioinformatics and PLoS Computational Biology.
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.