Pia Mach
About
Pia Mach is a scholar working on Molecular Biology, Infectious Diseases and Plant Science.
According to data from OpenAlex, Pia Mach has authored 7 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Plant Science. Recurrent topics in Pia Mach’s work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Pia Mach is often cited by papers focused on RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Pia Mach collaborates with scholars based in Switzerland, Germany and Italy. Pia Mach's co-authors include Luca Giorgetti, Grégory Roth, Sébastien A. Smallwood, Julie Cramard and Mariya Kryzhanovska and has published in prestigious journals such as Nature, Nature Genetics and Molecular Cell.
In The Last Decade
Fields of papers citing papers by Pia Mach
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 Pia Mach. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pia Mach may publish in the future.
Countries citing papers authored by Pia Mach
Since SpecializationCitations
This map shows the geographic impact of Pia Mach'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 Pia Mach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Mach more than expected).
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