Pia Boström
About
Pia Boström is a scholar working on Cancer Research, Oncology and Cell Biology.
According to data from OpenAlex, Pia Boström has authored 19 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 6 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Pia Boström’s work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Pia Boström is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Pia Boström collaborates with scholars based in Finland, Belgium and The Netherlands. Pia Boström's co-authors include Hannu Järveläinen, Ilkka Koskivuo, Annele Sainio, Mirva Söderström and Pauliina Hartiala and has published in prestigious journals such as Immunity, PLoS ONE and Developmental Cell.
In The Last Decade
Fields of papers citing papers by Pia Boström
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 Boström. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pia Boström may publish in the future.
Countries citing papers authored by Pia Boström
Since SpecializationCitations
This map shows the geographic impact of Pia Boström'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 Boström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Boström more than expected).
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