Anna Tomás
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
- Genetics 8
- Genetic Mapping and Diversity in Plants and Animals 3
- Virus-based gene therapy research 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- José A. Bengoechea (6 shared papers)Enrique Llobet (4 shared papers)David Moranta (4 shared papers)Junkal Garmendia (3 shared papers)José Luis Insua (3 shared papers)Camino Pérez-Gutiérrez (3 shared papers)Armand Sánchez (8 shared papers)Joaquím Segalés (4 shared papers)
- Journals
- Animals (2 papers)PLoS ONE (2 papers)Veterinary Research (2 papers)Journal of Biological Chemistry (2 papers)Mammalian Genome (1 paper)
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
Anna Tomás
20 papers receiving 871 citations
Peers
Comparison fields: 5 of 77
- Molecular Medicine 331
- Endocrinology 179
- Animal Science and Zoology 142
- Genetics 246
- Microbiology 52
Countries citing papers authored by Anna Tomás
This map shows the geographic impact of Anna Tomás'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 Anna Tomás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Tomás more than expected).
Fields of papers citing papers by Anna Tomás
This network shows the impact of papers produced by Anna Tomás. 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 Anna Tomás. The network helps show where Anna Tomás may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Tomás, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 169 | |
| 2 | 2014 | 134 | |
| 3 | 2015 | 80 | |
| 4 | 2011 | 71 | |
| 5 | 2003 | 70 | |
| 6 | 2008 | 62 | |
| 7 | 2004 | 51 | |
| 8 | 2015 | 43 | |
| 9 | 2009 | 39 | |
| 10 | 2009 | 24 | |
| 11 | 2014 | 24 | |
| 12 | 2013 | 23 | |
| 13 | 2018 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2015 | 18 | |
| 16 | 2017 | 14 | |
| 17 | 2020 | 11 | |
| 18 | 2011 | 9 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Anna Tomás
Anna Tomás is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Animal Science and Zoology and Immunology, having authored 21 papers that have together received 887 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Animal Virus Infections Studies (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Virus-based gene therapy research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Anesthesia and Pain Management (2 papers), MicroRNA in disease regulation (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Medicine (331 citations), Endocrinology (179 citations), Animal Science and Zoology (142 citations), Genetics (246 citations) and Microbiology (52 citations). Anna Tomás has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include José A. Bengoechea, Enrique Llobet, David Moranta, Junkal Garmendia, José Luis Insua, Camino Pérez-Gutiérrez, Armand Sánchez, Joaquím Segalés, Lana Teixeira Fernandes and Verónica Regueiro. Their work appears in journals such as Animals, PLoS ONE, Veterinary Research, Journal of Biological Chemistry and Mammalian Genome.
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.