Sam Scanga

About

Sam Scanga is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Sam Scanga has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Cell Biology and 1 paper in Plant Science. Recurrent topics in Sam Scanga’s work include 14-3-3 protein interactions (2 papers), Developmental Biology and Gene Regulation (2 papers) and Plant Molecular Biology Research (1 paper). Sam Scanga is often cited by papers focused on 14-3-3 protein interactions (2 papers), Developmental Biology and Gene Regulation (2 papers) and Plant Molecular Biology Research (1 paper). Sam Scanga collaborates with scholars based in Canada, United States and Israel. Sam Scanga's co-authors include Armen S. Manoukian, Antonia López-Girona, Renu Sarao, Fabrizio G. Mastronardi and Laurent Ruel and has published in prestigious journals such as Nature, Blood and Oncogene.

In The Last Decade

Fields of papers citing papers by Sam Scanga

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

Countries citing papers authored by Sam Scanga

Since Specialization

Citations

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

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