Roberto Cabrera
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Vibrio bacteria research studies 5
- Escherichia coli research studies 2
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- Viral gastroenteritis research and epidemiology 4
- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Pilar Trincado (2 shared papers)Jordi Vilà (10 shared papers)Ana Vindel (2 shared papers)Rafaël Maldonado (4 shared papers)Gascón Joaquim (4 shared papers)J. D. ego Ruiz (4 shared papers)Elena Martín‐García (1 shared paper)Sandra Montagud‐Romero (1 shared paper)
In The Last Decade
Roberto Cabrera
35 papers receiving 474 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 65
- Behavioral Neuroscience 36
- Biological Psychiatry 24
- Endocrinology 49
- Clinical Biochemistry 47
Countries citing papers authored by Roberto Cabrera
This map shows the geographic impact of Roberto Cabrera'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 Roberto Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Cabrera more than expected).
Fields of papers citing papers by Roberto Cabrera
This network shows the impact of papers produced by Roberto Cabrera. 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 Roberto Cabrera. The network helps show where Roberto Cabrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Cabrera, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 65 | |
| 2 | 2016 | 64 | |
| 3 | 2004 | 47 | |
| 4 | 2007 | 45 | |
| 5 | 2006 | 41 | |
| 6 | 2011 | 29 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 25 | |
| 9 | 2003 | 21 | |
| 10 | 2017 | 17 | |
| 11 | 2006 | 13 | |
| 12 | 2007 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 1998 | 8 | |
| 16 | 2002 | 7 | |
| 17 | 1999 | 6 | |
| 18 | 2006 | 5 | |
| 19 | 2007 | 5 | |
| 20 | [Antibiotic resistance, plasmid profile and ribotyping in Cuban Shigella sonnei strains]. | 2006 | 4 |
About Roberto Cabrera
Roberto Cabrera is a scholar working on Endocrinology, Infectious Diseases, Molecular Medicine, Food Science and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 492 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Vibrio bacteria research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Antibiotic Resistance in Bacteria (4 papers), Cystic Fibrosis Research Advances (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Pneumonia and Respiratory Infections (3 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Molecular Medicine (65 citations), Behavioral Neuroscience (36 citations), Biological Psychiatry (24 citations), Endocrinology (49 citations) and Clinical Biochemistry (47 citations). Roberto Cabrera has collaborated with scholars based in Spain, Italy and Cuba. Frequent co-authors include Pilar Trincado, Jordi Vilà, Ana Vindel, Rafaël Maldonado, Gascón Joaquim, J. D. ego Ruiz, Elena Martín‐García, Sandra Montagud‐Romero, José Miñarro and Jenny L. Wilkerson. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Scientific Reports, Methods in microbiology, Critical Care and Neuropharmacology.
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.