Matteo Da Ros
About
Matteo Da Ros is a scholar working on Molecular Biology, Plant Science and Genetics.
According to data from OpenAlex, Matteo Da Ros has authored 12 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Matteo Da Ros’s work include Chromosomal and Genetic Variations (6 papers), CRISPR and Genetic Engineering (5 papers) and Sperm and Testicular Function (3 papers). Matteo Da Ros is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), CRISPR and Genetic Engineering (5 papers) and Sperm and Testicular Function (3 papers). Matteo Da Ros collaborates with scholars based in Finland, Switzerland and Canada. Matteo Da Ros's co-authors include Noora Kotaja, Oliver Meikar, Jorma Toppari, Hanna Korhonen and Frédéric Chalmel and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Experimental Cell Research.
In The Last Decade
Fields of papers citing papers by Matteo Da Ros
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 Matteo Da Ros. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Matteo Da Ros may publish in the future.
Countries citing papers authored by Matteo Da Ros
Since SpecializationCitations
This map shows the geographic impact of Matteo Da Ros'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 Matteo Da Ros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Da Ros more than expected).
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