Florence Chan
About
Florence Chan is a scholar working on Oncology, Molecular Biology and Biotechnology.
According to data from OpenAlex, Florence Chan has authored 6 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Biotechnology. Recurrent topics in Florence Chan’s work include Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (2 papers) and Mast cells and histamine (1 paper). Florence Chan is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (2 papers) and Mast cells and histamine (1 paper). Florence Chan collaborates with scholars based in United Kingdom, Canada and Poland. Florence Chan's co-authors include Xin Lü, Jung-Kuang Hsieh, Damian Yap, Shan Zhong and Daniel O’Connor and has published in prestigious journals such as Molecular Cell, Molecular and Cellular Biology and Oncogene.
In The Last Decade
Fields of papers citing papers by Florence Chan
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 Florence Chan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Florence Chan may publish in the future.
Countries citing papers authored by Florence Chan
Since SpecializationCitations
This map shows the geographic impact of Florence Chan'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 Florence Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Chan more than expected).
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