Daniel Pineda‐Tenor

About

Daniel Pineda‐Tenor is a scholar working on Epidemiology, Hepatology and Virology. According to data from OpenAlex, Daniel Pineda‐Tenor has authored 38 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 20 papers in Hepatology and 8 papers in Virology. Recurrent topics in Daniel Pineda‐Tenor’s work include Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (18 papers) and Hepatitis B Virus Studies (9 papers). Daniel Pineda‐Tenor is often cited by papers focused on Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (18 papers) and Hepatitis B Virus Studies (9 papers). Daniel Pineda‐Tenor collaborates with scholars based in Spain and Colombia. Daniel Pineda‐Tenor's co-authors include Salvador Resino, María A. Jiménez‐Sousa, Juan Berenguer, Mónica García–Álvarez and Cristina Díez and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Daniel Pineda‐Tenor

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daniel Pineda‐Tenor. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Pineda‐Tenor may publish in the future.

Countries citing papers authored by Daniel Pineda‐Tenor

Since Specialization

Citations

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

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