Eva Huala
About
Eva Huala is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence.
According to data from OpenAlex, Eva Huala has authored 33 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Plant Science and 5 papers in Artificial Intelligence. Recurrent topics in Eva Huala’s work include Genomics and Phylogenetic Studies (14 papers), Plant nutrient uptake and metabolism (10 papers) and Biomedical Text Mining and Ontologies (8 papers). Eva Huala is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Plant nutrient uptake and metabolism (10 papers) and Biomedical Text Mining and Ontologies (8 papers). Eva Huala collaborates with scholars based in United States, United Kingdom and Greece. Eva Huala's co-authors include Tanya Berardini, Donghui Li, Leonore Reiser, M. Garcia-Hernandez and Seung Y. Rhee and has published in prestigious journals such as Science, Nucleic Acids Research and The Plant Cell.
In The Last Decade
Fields of papers citing papers by Eva Huala
Since SpecializationEngineeringComputer 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 Eva Huala. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Eva Huala may publish in the future.
Countries citing papers authored by Eva Huala
Since SpecializationCitations
This map shows the geographic impact of Eva Huala'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 Eva Huala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Huala more than expected).
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