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
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019110
2 201997
3 201343
4 201442
5 201538
6 202337
7 201919
8 201219
9 201615
10 201910
11 20099
12 20227
13 20145
14 20234
15
Susceptibilidad de mutantes atoxigénicos de Vibrio cholerae O139 a la infección con los bacteriófagos CTXφ y VGJφ
20101
16
Evaluación en modelos animales de cepas vivas atenuadas de vibrio cholerae O139
20101
17 20171
18 20250
19
Expresión de las fimbrias Fim2 y Fim3 desde el plasmidio pMMB67 en cepas de Bordetella pertussis
20100
20
Expresión extracromosomal del antígeno pertactina en Escherichia coli y Bordetella pertussis
20100

About Beatriz Ferrán

Beatriz Ferrán is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Endocrinology and Epidemiology, 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), Aquaculture disease management and microbiota (3 papers), Bacterial Infections and Vaccines (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Bacteriophages and microbial interactions (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Immunology (108 citations), Cellular and Molecular Neuroscience (93 citations), Biochemistry (34 citations), Endocrinology (21 citations) and Neurology (31 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, Ricardo Rodríguez‐Calvo, Jingyan Han, Judith Alonso, Cristina Rodrı́guez, 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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