Xiaoyu Tu
About
Xiaoyu Tu is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine.
According to data from OpenAlex, Xiaoyu Tu has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 13 papers in Cancer Research and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoyu Tu’s work include Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (10 papers) and Breast Lesions and Carcinomas (9 papers). Xiaoyu Tu is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (10 papers) and Breast Lesions and Carcinomas (9 papers). Xiaoyu Tu collaborates with scholars based in China and United States. Xiaoyu Tu's co-authors include Rui Bi, Wentao Yang, Yufan Cheng, Hongfen Lu and Xiaoli Xu and has published in prestigious journals such as PLoS ONE, Cancer Research and Cancer.
In The Last Decade
Fields of papers citing papers by Xiaoyu Tu
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 Xiaoyu Tu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoyu Tu may publish in the future.
Countries citing papers authored by Xiaoyu Tu
Since SpecializationCitations
This map shows the geographic impact of Xiaoyu Tu'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 Xiaoyu Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Tu more than expected).
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