Ana Mateus
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 13
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- Animal Behavior and Welfare Studies 5
- Co-authors
- Katharina D.C. Stärk (10 shared papers)Dave C. Brodbelt (5 shared papers)Pablo Alarcón (4 shared papers)Barbara Wieland (2 shared papers)Chris Dewberry (2 shared papers)Nick Barber (2 shared papers)Houda Bennani (3 shared papers)Barbara Häsler (2 shared papers)
- Journals
- Preventive Veterinary Medicine (5 papers)Antibiotics (5 papers)Veterinary Record (3 papers)Food Control (2 papers)Health Policy and Planning (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Ana Mateus
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Applied Microbiology and Biotechnology 351
- Molecular Medicine 364
- Small Animals 243
- Clinical Biochemistry 192
- Microbiology 175
Countries citing papers authored by Ana Mateus
This map shows the geographic impact of Ana Mateus'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 Ana Mateus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Mateus more than expected).
Fields of papers citing papers by Ana Mateus
This network shows the impact of papers produced by Ana Mateus. 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 Ana Mateus. The network helps show where Ana Mateus may publish in the future.
Co-authors
The 25 scholars most cited alongside Ana Mateus, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 323 | |
| 2 | 2013 | 166 | |
| 3 | 2020 | 147 | |
| 4 | Drivers, Dynamics and Epidemiology of Antimicrobial Resistance in Animal Production | 2016 | 113 |
| 5 | 2016 | 102 | |
| 6 | 2013 | 96 | |
| 7 | 2014 | 88 | |
| 8 | 2011 | 70 | |
| 9 | 2019 | 51 | |
| 10 | 2019 | 49 | |
| 11 | 2021 | 47 | |
| 12 | 2020 | 47 | |
| 13 | 2017 | 44 | |
| 14 | 2019 | 44 | |
| 15 | 2020 | 42 | |
| 16 | 2021 | 37 | |
| 17 | 2022 | 34 | |
| 18 | 2014 | 31 | |
| 19 | 2012 | 28 | |
| 20 | 2021 | 28 |
About Ana Mateus
Ana Mateus is a scholar working on Applied Microbiology and Biotechnology, Small Animals, Pollution, Food Science and Molecular Medicine, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Antibiotic Resistance in Bacteria (7 papers), Salmonella and Campylobacter epidemiology (7 papers), Animal Disease Management and Epidemiology (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Animal Behavior and Welfare Studies (5 papers) and Microbial infections and disease research (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (351 citations), Molecular Medicine (364 citations), Small Animals (243 citations), Clinical Biochemistry (192 citations) and Microbiology (175 citations). Ana Mateus has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Katharina D.C. Stärk, Dave C. Brodbelt, Pablo Alarcón, Barbara Wieland, Chris Dewberry, Nick Barber, Houda Bennani, Barbara Häsler, Elizabeth Eastmure and Nicholas Mays. Their work appears in journals such as Preventive Veterinary Medicine, Antibiotics, Veterinary Record, Food Control and Health Policy and Planning.
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.