Pablo E. Tomatis
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in ⓘ
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- Antibiotic Resistance in Bacteria 10
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- Bacterial biofilms and quorum sensing 3
- Protein Structure and Dynamics 2
- Co-authors
- Alejandro J. Vila (11 shared papers)Luciano A. Abriata (3 shared papers)Rodolfo M. Rasia (1 shared paper)Lorenzo Segovia (1 shared paper)María-Rocío Meini (2 shared papers)Brian J. Sutton (1 shared paper)Fabio Simona (1 shared paper)Stella M. Fabiane (1 shared paper)
- Journals
- Molecular Biology and Evolution (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)Chemical Science (1 paper)Molecular Plant-Microbe Interactions (1 paper)
- Partner nations
- ArgentinaUnited StatesUnited Kingdom
In The Last Decade
Pablo E. Tomatis
14 papers receiving 463 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 274
- Endocrinology 70
- Pharmacology 106
- Applied Microbiology and Biotechnology 8
- Genetics 103
Countries citing papers authored by Pablo E. Tomatis
This map shows the geographic impact of Pablo E. Tomatis'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 Pablo E. Tomatis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo E. Tomatis more than expected).
Fields of papers citing papers by Pablo E. Tomatis
This network shows the impact of papers produced by Pablo E. Tomatis. 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 Pablo E. Tomatis. The network helps show where Pablo E. Tomatis may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo E. Tomatis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 95 | |
| 2 | 2005 | 80 | |
| 3 | 2015 | 51 | |
| 4 | 2016 | 48 | |
| 5 | 2012 | 45 | |
| 6 | 2007 | 27 | |
| 7 | 2008 | 25 | |
| 8 | 2012 | 22 | |
| 9 | 2008 | 22 | |
| 10 | 2002 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2019 | 10 | |
| 13 | 2025 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2021 | 0 |
About Pablo E. Tomatis
Pablo E. Tomatis is a scholar working on Molecular Medicine, Molecular Biology, Genetics, Pharmacology and Epidemiology, having authored 15 papers that have together received 467 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Evolution and Genetic Dynamics (4 papers), Bacterial biofilms and quorum sensing (3 papers), Protein Structure and Dynamics (2 papers), Trace Elements in Health (1 paper), Plant nutrient uptake and metabolism (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Molecular Medicine (274 citations), Endocrinology (70 citations), Pharmacology (106 citations), Applied Microbiology and Biotechnology (8 citations) and Genetics (103 citations). Pablo E. Tomatis has collaborated with scholars based in Argentina, United States and United Kingdom. Frequent co-authors include Alejandro J. Vila, Luciano A. Abriata, Rodolfo M. Rasia, Lorenzo Segovia, María-Rocío Meini, Brian J. Sutton, Fabio Simona, Stella M. Fabiane, Paolo Carloni and Daniel Weinreich. Their work appears in journals such as Molecular Biology and Evolution, Proceedings of the National Academy of Sciences, Scientific Reports, Chemical Science and Molecular Plant-Microbe Interactions.
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.