Begoña Euba

468 total citations
23 papers, 363 citations indexed

About

Begoña Euba is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Begoña Euba has authored 23 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Microbiology, 13 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Begoña Euba's work include Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (12 papers) and Antimicrobial Peptides and Activities (5 papers). Begoña Euba is often cited by papers focused on Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (12 papers) and Antimicrobial Peptides and Activities (5 papers). Begoña Euba collaborates with scholars based in Spain, United Kingdom and United States. Begoña Euba's co-authors include Junkal Garmendia, José A. Bengoechea, Sara Martí, M. Barberán, Dolores Solı́s, Carmen Gil, Teodor Aastrup, Pau Morey, Davide Proverbio and María Asunción Campanero‐Rhodes and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Begoña Euba

22 papers receiving 360 citations

Peers

Begoña Euba
Becca A. Flitter United States
Ruby Pelingon Australia
Zhao Wei China
Truc Thanh Luong South Korea
Ali El Roz Lebanon
Douglas Fraser‐Pitt United Kingdom
Shoko Wakabayashi United States
Becca A. Flitter United States
Begoña Euba
Citations per year, relative to Begoña Euba Begoña Euba (= 1×) peers Becca A. Flitter

Countries citing papers authored by Begoña Euba

Since Specialization
Citations

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

Fields of papers citing papers by Begoña Euba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Begoña Euba

This figure shows the co-authorship network connecting the top 25 collaborators of Begoña Euba. A scholar is included among the top collaborators of Begoña Euba 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 Begoña Euba. Begoña Euba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Euba, Begoña, et al.. (2023). In Vivo Genome-Wide Gene Expression Profiling Reveals That Haemophilus influenzae Purine Synthesis Pathway Benefits Its Infectivity within the Airways. Microbiology Spectrum. 11(3). e0082323–e0082323. 4 indexed citations
3.
Lázaro-Díez, María, Mikel Ariz, Begoña Euba, et al.. (2023). In vitro modeling of polyclonal infection dynamics within the human airways by Haemophilus influenzae differential fluorescent labeling. Microbiology Spectrum. 11(6). e0099323–e0099323. 1 indexed citations
4.
Morales, Xabier, Mikel Ariz, Begoña Euba, et al.. (2021). Development and multimodal characterization of an elastase-induced emphysema mouse disease model for the COPD frequent bacterial exacerbator phenotype. Virulence. 12(1). 1672–1688. 4 indexed citations
5.
Euba, Begoña, Sara Martí, Alexandra Merlos, et al.. (2021). Phase Variation in HMW1A Controls a Phenotypic Switch in Haemophilus influenzae Associated with Pathoadaptation during Persistent Infection. mBio. 12(3). e0078921–e0078921. 10 indexed citations
6.
Euba, Begoña, Rabeb Dhouib, José Leiva, et al.. (2020). Haemophilus influenzae Glucose Catabolism Leading to Production of the Immunometabolite Acetate Has a Key Contribution to the Host Airway–Pathogen Interplay. ACS Infectious Diseases. 6(3). 406–421. 15 indexed citations
7.
Euba, Begoña, Roberto Díez‐Martínez, Margarita Menéndez, et al.. (2019). Preclinical Evaluation of the Antimicrobial-Immunomodulatory Dual Action of Xenohormetic Molecules against Haemophilus influenzae Respiratory Infection. Biomolecules. 9(12). 891–891. 11 indexed citations
8.
Al-Jubair, Tamim, Begoña Euba, Sara Martí, et al.. (2019). Moonlighting of Haemophilus influenzae heme acquisition systems contributes to the host airway-pathogen interplay in a coordinated manner. Virulence. 10(1). 315–333. 22 indexed citations
9.
García-Fojeda, Belén, Carlos M. Minutti, Begoña Euba, et al.. (2019). Lung Surfactant Lipids Provide Immune Protection Against Haemophilus influenzae Respiratory Infection. Frontiers in Immunology. 10. 458–458. 19 indexed citations
10.
Almagro, Goizeder, Begoña Euba, Sara Martí, et al.. (2018). Modulation of Haemophilus influenzae interaction with hydrophobic molecules by the VacJ/MlaA lipoprotein impacts strongly on its interplay with the airways. Scientific Reports. 8(1). 6872–6872. 19 indexed citations
12.
Euba, Begoña, María del Carmen Fernández‐Alonso, Davide Proverbio, et al.. (2018). Differential recognition of Haemophilus influenzae whole bacterial cells and isolated lipooligosaccharides by galactose-specific lectins. Scientific Reports. 8(1). 16292–16292. 9 indexed citations
13.
Euba, Begoña, M. Barberán, Nuria Caturla, et al.. (2017). Resveratrol therapeutics combines both antimicrobial and immunomodulatory properties against respiratory infection by nontypeable Haemophilus influenzae. Scientific Reports. 7(1). 12860–12860. 32 indexed citations
14.
Martí, Sara, Begoña Euba, M. Barberán, et al.. (2017). Inactivation of the Thymidylate Synthase thyA in Non-typeable Haemophilus influenzae Modulates Antibiotic Resistance and Has a Strong Impact on Its Interplay with the Host Airways. Frontiers in Cellular and Infection Microbiology. 7. 266–266. 9 indexed citations
15.
Campanero‐Rhodes, María Asunción, Davide Proverbio, Begoña Euba, et al.. (2017). Bacterial Surface Glycans: Microarray and QCM Strategies for Glycophenotyping and Exploration of Recognition by Host Receptors. Methods in enzymology on CD-ROM/Methods in enzymology. 598. 37–70. 12 indexed citations
16.
Euba, Begoña, et al.. (2015). Relative Contribution of P5 and Hap Surface Proteins to Nontypable Haemophilus influenzae Interplay with the Host Upper and Lower Airways. PLoS ONE. 10(4). e0123154–e0123154. 20 indexed citations
17.
Euba, Begoña, Víctor Segura, Pau Morey, et al.. (2015). Genome Expression Profiling-Based Identification and Administration Efficacy of Host-Directed Antimicrobial Drugs against Respiratory Infection by Nontypeable Haemophilus influenzae. Antimicrobial Agents and Chemotherapy. 59(12). 7581–7592. 16 indexed citations
19.
Morey, Pau, Begoña Euba, Derek W. Hood, et al.. (2013). Relative Contributions of Lipooligosaccharide Inner and Outer Core Modifications to Nontypeable Haemophilus influenzae Pathogenesis. Infection and Immunity. 81(11). 4100–4111. 47 indexed citations
20.
Euba, Begoña, J.L. Vizmanos, Marta García‐Granero, et al.. (2011). A meta-analysis of TET2 mutations shows a distinct distribution pattern in de novo acute myeloid leukemia and chronic myelomonocytic leukemia. Leukemia & lymphoma. 53(6). 1230–1233. 5 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.

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