Catrin E. Moore
Impact in
- Applied Microbiology and Biotechnology top 0.01%
- Antibiotic Use and Resistance
- Molecular Medicine top 0.02%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 52
-
- Antibiotic Resistance in Bacteria 15
- Co-authors
- Nicholas Day (41 shared papers)Sharon J. Peacock (8 shared papers)Derrick W. Crook (15 shared papers)Brian G. Spratt (3 shared papers)Mark C. Enright (3 shared papers)Edward J. Feil (3 shared papers)Christiane Dolecek (6 shared papers)Susanna Jane Dunachie (4 shared papers)
- Journals
- The Lancet Infectious Diseases (10 papers)The Lancet (9 papers)Clinical Infectious Diseases (9 papers)PLoS ONE (7 papers)PLoS neglected tropical diseases (6 papers)
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Catrin E. Moore
149 papers receiving 28.8k citations
Catrin E. Moore's Hit Papers
Peers
Comparison fields: 5 of 200
- Applied Microbiology and Biotechnology 4.3k
- Molecular Medicine 4.9k
- Infectious Diseases 4.8k
- Microbiology 1.3k
- Endocrinology 722
Countries citing papers authored by Catrin E. Moore
This map shows the geographic impact of Catrin E. Moore'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 Catrin E. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catrin E. Moore more than expected).
Fields of papers citing papers by Catrin E. Moore
This network shows the impact of papers produced by Catrin E. Moore. 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 Catrin E. Moore. The network helps show where Catrin E. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Catrin E. Moore, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis Hit paper breakdown → | 2022 | 11306 |
| 2 | Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050 Hit paper breakdown → | 2024 | 1965 |
| 3 | Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 Hit paper breakdown → | 2024 | 1679 |
| 4 | Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019 Hit paper breakdown → | 2022 | 1526 |
| 5 | Genomic analysis of diversity, population structure, virulence, and antimicrobial resistance in Klebsiella pneumoniae , an urgent threat to public health Hit paper breakdown → | 2015 | 992 |
| 6 | Complete genomes of two clinical Staphylococcus aureus strains: Evidence for the rapid evolution of virulence and drug resistance Hit paper breakdown → | 2004 | 767 |
| 7 | 2020 | 756 | |
| 8 | Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study Hit paper breakdown → | 2021 | 652 |
| 9 | 2003 | 519 | |
| 10 | 2002 | 514 | |
| 11 | 2001 | 437 | |
| 12 | 2007 | 366 | |
| 13 | Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019 Hit paper breakdown → | 2021 | 355 |
| 14 | Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021 Hit paper breakdown → | 2024 | 292 |
| 15 | Drug-resistant enteric fever worldwide, 1990 to 2018: a systematic review and meta-analysis Hit paper breakdown → | 2020 | 291 |
| 16 | 2016 | 275 | |
| 17 | 2005 | 274 | |
| 18 | 2021 | 273 | |
| 19 | The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis Hit paper breakdown → | 2022 | 267 |
| 20 | 2002 | 244 |
About Catrin E. Moore
Catrin E. Moore is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Infectious Diseases, Epidemiology and Parasitology, having authored 156 papers that have together received 29.7k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (52 papers), Pneumonia and Respiratory Infections (16 papers), Antibiotic Resistance in Bacteria (15 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Salmonella and Campylobacter epidemiology (8 papers), Respiratory viral infections research (5 papers), Mosquito-borne diseases and control (5 papers) and Bacterial Infections and Vaccines (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (4.3k citations), Molecular Medicine (4.9k citations), Infectious Diseases (4.8k citations), Microbiology (1.3k citations) and Endocrinology (722 citations). Catrin E. Moore has collaborated with scholars based in United Kingdom, Thailand and United States. Frequent co-authors include Nicholas Day, Sharon J. Peacock, Derrick W. Crook, Brian G. Spratt, Mark C. Enright, Edward J. Feil, Christiane Dolecek, Susanna Jane Dunachie, Alan D López and Anita Justice. Their work appears in journals such as The Lancet Infectious Diseases, The Lancet, Clinical Infectious Diseases, PLoS ONE and PLoS neglected tropical diseases.
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.