Linda Resar
About
Linda Resar is a scholar working on Molecular Biology, Genetics and Hematology.
According to data from OpenAlex, Linda Resar has authored 9 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Hematology. Recurrent topics in Linda Resar’s work include Hemoglobinopathies and Related Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers) and Iron Metabolism and Disorders (2 papers). Linda Resar is often cited by papers focused on Hemoglobinopathies and Related Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers) and Iron Metabolism and Disorders (2 papers). Linda Resar collaborates with scholars based in United States, South Korea and Belgium. Linda Resar's co-authors include Michael R. DeBaun, Jen‐Yih Chu, Herbert H. Hill, Julie A. Panepinto and James R. Wright and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.
In The Last Decade
Fields of papers citing papers by Linda Resar
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 Linda Resar. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Linda Resar may publish in the future.
Countries citing papers authored by Linda Resar
Since SpecializationCitations
This map shows the geographic impact of Linda Resar'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 Linda Resar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Resar more than expected).
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