Beatriz Ferrán

612 citations
22 papers · 458 indexed · h-index 10

Beatriz Ferrán

17 papers receiving 452 citations

Peers

Beatriz Ferrán
Comparison fields: 5 of 91
  • Immunology 108
  • Cellular and Molecular Neuroscience 93
  • Biochemistry 34
  • Endocrinology 21
  • Neurology 31
Replace Jane Lattin with:
Jane Lattin Australia
Sabine Wolter Germany
Katrina Boeckeler United Kingdom
Birgitte Lygren Norway
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Citations per field
00.5×4.2×
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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-authorship network

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
#Work
1 20250
2 20250
3 202337
4 20227
5 201997
6 2019110
7 201919
8 201910
9 20171
10 201615
11 201538
12 201442
13 20145
14 201343
15 201219
16
Expresión de las fimbrias Fim2 y Fim3 desde el plasmidio pMMB67 en cepas de Bordetella pertussis
20100
17
Evaluación en modelos animales de cepas vivas atenuadas de vibrio cholerae O139
20101
18
Susceptibilidad de mutantes atoxigénicos de Vibrio cholerae O139 a la infección con los bacteriófagos CTXφ y VGJφ
20101
19
Expresión extracromosomal del antígeno pertactina en Escherichia coli y Bordetella pertussis
20100
20 20099

About Beatriz Ferrán

Beatriz Ferrán is a scholar working on Endocrinology, Microbiology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 458 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (5 papers), Vibrio bacteria research studies (4 papers), Bacterial Infections and Vaccines (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Aquaculture disease management and microbiota (3 papers), Bacteriophages and microbial interactions (2 papers), Mitochondrial Function and Pathology (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Immunology (108 citations), Cellular and Molecular Neuroscience (93 citations) and Biochemistry (34 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, Jingyan Han, Ricardo Rodríguez‐Calvo, José Martínez‐González, Cristina Rodrı́guez, Judith Alonso, Yuko Tsukahara and Olivier Calvayrac. Their work appears in journals such as Scientific Reports, Journal of Bacteriology, Journal of Molecular and Cellular Cardiology, Human Molecular Genetics and Nature Communications.

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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