Roberto Cabrera

611 citations
31 papers · 412 · h-index 12

Impact in

Papers in

Roberto Cabrera

27 papers receiving 397 citations

Peers

Roberto Cabrera
Comparison fields: 5 of 81
  • Molecular Medicine 59
  • Behavioral Neuroscience 42
  • Biological Psychiatry 28
  • Endocrinology 47
  • Clinical Biochemistry 58
Replace Zhijian Yu with:
Zhijian Yu China
Nuran Delıalıoğlu Türkiye
Maria Teresa Gallo Italy
Renchi Fang China
H Raŝková Czechia
Sharon L. Ernst United States
Marı́a Luisa Gómez-Lus Spain
Naba Kumar Hazarika India
Eun Young Huh United States
Herman Friedman United States
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Citations per field
00.5×9.5×
Zhijian Yu · 1×
Citations per year

Countries citing papers authored by Roberto Cabrera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roberto Cabrera Line = papers co-authored together Roberto Cabrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201658
3 200443
4 200741
5 200637
6 201130
7 202223
8 202022
9 200320
10 201715
11 200612
12 200711
13 20026
14 20094
15 19994
16
[Antibiotic resistance, plasmid profile and ribotyping in Cuban Shigella sonnei strains].
20064
17 20153
18
[Plesiomonas shigelloides, a Vibrionaceae to be taken into account].
20013
19 20242
20 20212

About Roberto Cabrera

Roberto Cabrera is a scholar working on Infectious Diseases, Molecular Biology, Food Science, Endocrinology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 412 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Cystic Fibrosis Research Advances (5 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotic Resistance in Bacteria (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Vibrio bacteria research studies (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Molecular Medicine (59 citations), Behavioral Neuroscience (42 citations), Biological Psychiatry (28 citations), Endocrinology (47 citations) and Clinical Biochemistry (58 citations). Roberto Cabrera has collaborated with scholars based in Spain, Cuba and Italy. Frequent co-authors include Jordi Vilà, P. Trincado, Rafaël Maldonado, Ana Vindel, Carol Castellares, A. Aladueña, Joaquím Gascón, Ana Rubio‐Araiz, Joaquı́m Ruiz and Aron H. Lichtman. Their work appears in journals such as Scientific Reports, Neuropharmacology, Addiction Biology, Clinical Microbiology and Infection and Journal of Clinical Microbiology.

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.

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