Beatriz Ferrán

17 papers receiving 485 citations

Peers

Beatriz Ferrán
Comparison fields: 5 of 91
  • Immunology 103
  • Cellular and Molecular Neuroscience 90
  • Biochemistry 32
  • Endocrinology 21
  • Neurology 30
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Jane Lattin Australia
Luis Carlos Tábara United Kingdom
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Birgitte Lygren Norway
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Citations per year

Countries citing papers authored by Beatriz Ferrán

Since Specialization
Citations

This map shows the geographic impact of Beatriz Ferrán'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 Beatriz Ferrán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Ferrán more than expected).

Fields of papers citing papers by Beatriz Ferrán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz Ferrán. 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 Beatriz Ferrán. The network helps show where Beatriz Ferrán may publish in the future.

Co-authors

The 25 scholars most cited alongside Beatriz Ferrán, 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 Beatriz Ferrán Line = papers co-authored together Beatriz Ferrán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019116
2 2019102
3 202347
4 201444
5 201344
6 201539
7 201920
8 201219
9 201615
10 201912
11 202210
12 200910
13 20145
14 20234
15
Evaluación en modelos animales de cepas vivas atenuadas de vibrio cholerae O139
20101
16 20251
17
Susceptibilidad de mutantes atoxigénicos de Vibrio cholerae O139 a la infección con los bacteriófagos CTXφ y VGJφ
20101
18
Expresión extracromosomal del antígeno pertactina en Escherichia coli y Bordetella pertussis
20100
19 20250
20
Expresión episomal de toxina de pertussis genéticamente inactivada en Bordetella pertussis
20150

About Beatriz Ferrán

Beatriz Ferrán is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Endocrinology and Epidemiology, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (5 papers), Vibrio bacteria research studies (4 papers), Aquaculture disease management and microbiota (3 papers), Bacterial Infections and Vaccines (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Circular RNAs in diseases (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Immunology (103 citations), Cellular and Molecular Neuroscience (90 citations), Biochemistry (32 citations), Endocrinology (21 citations) and Neurology (30 citations). Beatriz Ferrán has collaborated with scholars based in United States, Spain and Cuba. Frequent co-authors include Reiko Matsui, Markus Bachschmid, David R. Pimentel, José Martínez‐González, Cristina Rodrı́guez, Judith Alonso, Ricardo Rodríguez‐Calvo, Jingyan Han, Yuko Tsukahara and Olivier Calvayrac. Their work appears in journals such as Scientific Reports, Thrombosis and Haemostasis, Journal of Molecular and Cellular Cardiology, Human Molecular Genetics and Antioxidants and Redox Signaling.

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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