Rosa Ten
About
Rosa Ten is a scholar working on Immunology, Cancer Research and Physiology.
According to data from OpenAlex, Rosa Ten has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Rosa Ten’s work include NF-κB Signaling Pathways (8 papers), Asthma and respiratory diseases (5 papers) and Immune Response and Inflammation (4 papers). Rosa Ten is often cited by papers focused on NF-κB Signaling Pathways (8 papers), Asthma and respiratory diseases (5 papers) and Immune Response and Inflammation (4 papers). Rosa Ten collaborates with scholars based in United States, France and United Kingdom. Rosa Ten's co-authors include Gerald J. Gleich, C. V. Paya, O. Le Bail, Alain Israël and Larry R. Pease and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The EMBO Journal.
In The Last Decade
Fields of papers citing papers by Rosa Ten
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 Rosa Ten. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Rosa Ten may publish in the future.
Countries citing papers authored by Rosa Ten
Since SpecializationCitations
This map shows the geographic impact of Rosa Ten'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 Rosa Ten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Ten more than expected).
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