Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A review of the main bacterial fish diseases in mariculture systems
2005706 citationsAlicia E. Toranzo, Beatríz Magariños et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Beatríz Magariños
Since
Specialization
Citations
This map shows the geographic impact of Beatríz Magariños'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 Beatríz Magariños with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatríz Magariños more than expected).
Fields of papers citing papers by Beatríz Magariños
This network shows the impact of papers produced by Beatríz Magariños. 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 Beatríz Magariños. The network helps show where Beatríz Magariños may publish in the future.
Co-authorship network of co-authors of Beatríz Magariños
This figure shows the co-authorship network connecting the top 25 collaborators of Beatríz Magariños.
A scholar is included among the top collaborators of Beatríz Magariños based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Beatríz Magariños. Beatríz Magariños is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Avendaño‐Herrera, Rubén, Beatríz Magariños, Miguel Ángel Moríñigo, Jesús L. Romalde, & Alicia E. Toranzo. (2005). A novel O-serotype in Tenacibaculum maritimum strains isolated from cultured sole (Solea senegalensis). Bulletin of the European Association of Fish Pathologists. 25(2). 70–74.32 indexed citations
13.
Núñez, S, et al.. (2004). A non-destructive method for rapid detection of Tenacibaculum maritimum in farmed fish using nested PCR amplification. Bulletin of the European Association of Fish Pathologists. 24(6). 280–286.25 indexed citations
Lozano-León, Antonio, Carlos R. Osorio, S Núñez, Jaime Martínez-Urtaza, & Beatríz Magariños. (2003). Occurrence of Photobacterium damselae subsp. damselae in bivavlve molluscs from Northwest Spain. Bulletin of the European Association of Fish Pathologists. 231(1). 40–44.8 indexed citations
16.
Romalde, Jesús L., et al.. (2002). Effectiveness of a divalent vaccine for gilt-head sea bream (Sparus aurata) against Vibrio alginolyticus and Photobacterium damselae subsp. piscicida. Bulletin of the European Association of Fish Pathologists. 22(5). 298–303.10 indexed citations
17.
Romalde, Jesús L., et al.. (2000). Study of cell surface associated virulence factors of Streptococcus parauberis strains pathogenic for turbot.. Bulletin of the European Association of Fish Pathologists. 20(6). 244–251.2 indexed citations
18.
Romalde, Jesús L., Alain Breton, Beatríz Magariños, & Alicia E. Toranzo. (1995). Use of BIONOR Aquarapid-Pp kit for the diagnosis of Pasteurella piscicida infections. Bulletin of the European Association of Fish Pathologists. 15(2). 64–66.7 indexed citations
Magariños, Beatríz, et al.. (1994). Influence of fish size and vaccine formulation on the protection of gilthead seabream against Pasteurella piscicida.18 indexed citations
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.