Publications (126) Publications in which a researcher has participated

2023

  1. A call for the comprehensive diagnosis of viral hepatitis as a key step towards its elimination

    Liver International

  2. Adult T-cell leukemia/lymphoma in HTLV-1 non-endemic regions

    Journal of Clinical Virology, Vol. 167

  3. Contemporary use of cefazolin for MSSA infective endocarditis: analysis of a national prospective cohort

    International Journal of Infectious Diseases, Vol. 137, pp. 134-143

  4. Design of Quorum Sensing Inhibitor-Polymer Conjugates to Penetrate Pseudomonas aeruginosa Biofilms

    ACS Macro Letters, Vol. 12, Núm. 3, pp. 314-319

  5. Genomics, biofilm formation and infection of bladder epithelial cells in potentially uropathogenic Escherichia coli (UPEC) from animal sources and human urinary tract infections (UTIs) further support food-borne transmission

    One Health, Vol. 16

  6. Gram-negative quorum sensing signalling enhances biofilm formation and virulence traits in gram-positive pathogen Enterococcus faecalis

    Journal of Oral Microbiology, Vol. 15, Núm. 1

  7. HTLV infection in persons with sexually transmitted diseases in Spain

    Frontiers in Immunology, Vol. 14

  8. HTLV-1-associated myelopathy in Spain

    Journal of Clinical Virology, Vol. 169

  9. New Preventive Strategy against Oral Biofilm Formation in Caries-Active Children: An In Vitro Study

    Antibiotics, Vol. 12, Núm. 8

  10. Oportunistic diagnosis based on age and hepatitis C virus clearance: an essential step to improve the overall health of the liver

    Revista Espanola de Enfermedades Digestivas, Vol. 115, Núm. 3, pp. 128-132

  11. Optimization of the molecular diagnosis of the acute hepatitis E virus infection

    Microbial Biotechnology, Vol. 16, Núm. 6, pp. 1325-1332

  12. Probing Interkingdom Signaling Molecules via Liquid Extraction Surface Analysis-Mass Spectrometry

    Analytical Chemistry, Vol. 95, Núm. 11, pp. 5079-5086

  13. Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results

    Scientific Reports, Vol. 13, Núm. 1