Hui Gan
About
Hui Gan is a scholar working on Oncology, Genetics and Molecular Biology.
According to data from OpenAlex, Hui Gan has authored 324 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Oncology, 86 papers in Genetics and 77 papers in Molecular Biology. Recurrent topics in Hui Gan’s work include Glioma Diagnosis and Treatment (84 papers), Cancer Immunotherapy and Biomarkers (34 papers) and HER2/EGFR in Cancer Research (31 papers). Hui Gan is often cited by papers focused on Glioma Diagnosis and Treatment (84 papers), Cancer Immunotherapy and Biomarkers (34 papers) and HER2/EGFR in Cancer Research (31 papers). Hui Gan collaborates with scholars based in Australia, United States and China. Hui Gan's co-authors include Andrew M. Scott, Sagun Parakh, Benoît You, Zhuona Wu and Andrew B. Lassman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
In The Last Decade
Fields of papers citing papers by Hui Gan
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 Hui Gan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hui Gan may publish in the future.
Countries citing papers authored by Hui Gan
Since SpecializationCitations
This map shows the geographic impact of Hui Gan'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 Hui Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Gan more than expected).
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