Anita Abu‐Daya

About

Anita Abu‐Daya is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Anita Abu‐Daya has authored 16 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Anita Abu‐Daya’s work include CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (3 papers) and Animal Genetics and Reproduction (3 papers). Anita Abu‐Daya is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (3 papers) and Animal Genetics and Reproduction (3 papers). Anita Abu‐Daya collaborates with scholars based in United Kingdom, United States and France. Anita Abu‐Daya's co-authors include Matthew Guille, Lyle B. Zimmerman, Anna Noble, Derek L. Stemple and Matthew D. Clark and has published in prestigious journals such as Nucleic Acids Research, Blood and Developmental Biology.

In The Last Decade

Fields of papers citing papers by Anita Abu‐Daya

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 Anita Abu‐Daya. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Anita Abu‐Daya may publish in the future.

Countries citing papers authored by Anita Abu‐Daya

Since Specialization

Citations

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

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