Elizabeth Wu
About
Elizabeth Wu is a scholar working on Molecular Biology, Artificial Intelligence and Physiology.
According to data from OpenAlex, Elizabeth Wu has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 1 paper in Physiology. Recurrent topics in Elizabeth Wu’s work include Biomedical Text Mining and Ontologies (4 papers), Semantic Web and Ontologies (3 papers) and Bioinformatics and Genomic Networks (3 papers). Elizabeth Wu is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Semantic Web and Ontologies (3 papers) and Bioinformatics and Genomic Networks (3 papers). Elizabeth Wu collaborates with scholars based in United States, United Kingdom and South Africa. Elizabeth Wu's co-authors include Tim W. Clark, June Kinoshita, Steve Cayzer, Yong Gao and Andy Seaborne and has published in prestigious journals such as The Lancet Neurology, BMC Bioinformatics and Journal of Biomedical Informatics.
In The Last Decade
Fields of papers citing papers by Elizabeth Wu
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 Elizabeth Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Elizabeth Wu may publish in the future.
Countries citing papers authored by Elizabeth Wu
Since SpecializationCitations
This map shows the geographic impact of Elizabeth Wu'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 Elizabeth Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Wu more than expected).
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