Clara Torres‐Barceló
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
- Microbial infections and disease research
Papers in
- Ecology 15
- Bacteriophages and microbial interactions 14
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- Plant Virus Research Studies 15
- Co-authors
- Michael Hochberg (6 shared papers)R. Craig MacLean (3 shared papers)Richard Moxon (2 shared papers)Marie Vasse (5 shared papers)Santiago F. Elena (4 shared papers)José‐Antonio Daròs (3 shared papers)Susana Martín (2 shared papers)Angus Buckling (2 shared papers)
- Journals
- Proceedings of the Royal Society B Biological Sciences (4 papers)Viruses (2 papers)Scientific Reports (1 paper)Vaccine (1 paper)Heredity (1 paper)
- Partner nations
- FranceUnited StatesRéunion
In The Last Decade
Clara Torres‐Barceló
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 201
- Microbiology 225
- Endocrinology 177
- Ecology 680
- Genetics 277
Countries citing papers authored by Clara Torres‐Barceló
This map shows the geographic impact of Clara Torres‐Barceló'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 Clara Torres‐Barceló with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Torres‐Barceló more than expected).
Fields of papers citing papers by Clara Torres‐Barceló
This network shows the impact of papers produced by Clara Torres‐Barceló. 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 Clara Torres‐Barceló. The network helps show where Clara Torres‐Barceló may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Torres‐Barceló, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 230 | |
| 2 | 2018 | 134 | |
| 3 | 2014 | 128 | |
| 4 | 2013 | 108 | |
| 5 | 2018 | 85 | |
| 6 | 2008 | 63 | |
| 7 | 2008 | 58 | |
| 8 | 2015 | 53 | |
| 9 | 2022 | 50 | |
| 10 | 2016 | 39 | |
| 11 | 2013 | 37 | |
| 12 | 2009 | 29 | |
| 13 | 2018 | 25 | |
| 14 | 2017 | 18 | |
| 15 | 2004 | 18 | |
| 16 | 2015 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2009 | 11 | |
| 19 | 2016 | 8 | |
| 20 | 2018 | 5 |
About Clara Torres‐Barceló
Clara Torres‐Barceló is a scholar working on Ecology, Plant Science, Genetics, Molecular Biology and Sociology and Political Science, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Virus Research Studies (15 papers), Bacteriophages and microbial interactions (14 papers), Evolution and Genetic Dynamics (11 papers), Evolutionary Game Theory and Cooperation (5 papers), Plant and Fungal Interactions Research (4 papers), Genomics and Phylogenetic Studies (4 papers), Animal Virus Infections Studies (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Medicine (201 citations), Microbiology (225 citations), Endocrinology (177 citations), Ecology (680 citations) and Genetics (277 citations). Clara Torres‐Barceló has collaborated with scholars based in France, United States and Réunion. Frequent co-authors include Michael Hochberg, R. Craig MacLean, Richard Moxon, Marie Vasse, Santiago F. Elena, José‐Antonio Daròs, Susana Martín, Angus Buckling, Oliver Kaltz and Johan Ramsayer. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Viruses, Scientific Reports, Vaccine and Heredity.
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.