Tiago Casella
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Enterobacteriaceae and Cronobacter Research
- Vibrio bacteria research studies
Papers in
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- Antibiotic Resistance in Bacteria 22
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- Bacterial biofilms and quorum sensing 8
- Co-authors
- Mara Corrëa Lelles Nogueira (24 shared papers)Jean-Yves Madec (3 shared papers)Marisa Haenni (3 shared papers)Estelle Saras (1 shared paper)Maurício Lacerda Nogueira (2 shared papers)Fernando Gôngora Rubio (1 shared paper)Margarete Teresa Gottardo de Almeida (1 shared paper)Juliano De Dea Lindner (4 shared papers)
In The Last Decade
Tiago Casella
26 papers receiving 365 citations
Peers
Comparison fields: 5 of 47
- Molecular Medicine 258
- Endocrinology 124
- Applied Microbiology and Biotechnology 34
- Pollution 117
- Food Science 138
Countries citing papers authored by Tiago Casella
This map shows the geographic impact of Tiago Casella'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 Tiago Casella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiago Casella more than expected).
Fields of papers citing papers by Tiago Casella
This network shows the impact of papers produced by Tiago Casella. 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 Tiago Casella. The network helps show where Tiago Casella may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiago Casella, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 70 | |
| 2 | 2017 | 70 | |
| 3 | 2014 | 41 | |
| 4 | 2015 | 29 | |
| 5 | 2018 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2019 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2024 | 2 |
About Tiago Casella
Tiago Casella is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Food Science and Pollution, having authored 28 papers that have together received 371 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Bacterial biofilms and quorum sensing (8 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Probiotics and Fermented Foods (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Infections and bacterial resistance (3 papers). The work is most often cited by research in Molecular Medicine (258 citations), Endocrinology (124 citations), Applied Microbiology and Biotechnology (34 citations), Pollution (117 citations) and Food Science (138 citations). Tiago Casella has collaborated with scholars based in Brazil, France and Chile. Frequent co-authors include Mara Corrëa Lelles Nogueira, Jean-Yves Madec, Marisa Haenni, Estelle Saras, Maurício Lacerda Nogueira, Fernando Gôngora Rubio, Margarete Teresa Gottardo de Almeida, Juliano De Dea Lindner, Nilton Lincopán and Ana Lúcia Barretto Penna. Their work appears in journals such as International Journal of Food Microbiology, Microbial Drug Resistance, Diagnostic Microbiology and Infectious Disease, Veterinary Research Communications and Infection Genetics and Evolution.
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.