Gang Tu
About
Gang Tu is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Gang Tu has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Gang Tu’s work include Cancer-related molecular mechanisms research (9 papers), Estrogen and related hormone effects (8 papers) and HER2/EGFR in Cancer Research (6 papers). Gang Tu is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Estrogen and related hormone effects (8 papers) and HER2/EGFR in Cancer Research (6 papers). Gang Tu collaborates with scholars based in China, United States and Thailand. Gang Tu's co-authors include Manran Liu, Yixuan Hou, Guanglun Yang, Haojun Luo and Xi Tang and has published in prestigious journals such as Oncogene, The FASEB Journal and Stem Cells.
In The Last Decade
Fields of papers citing papers by Gang 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 Gang Tu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Tu may publish in the future.
Countries citing papers authored by Gang Tu
Since SpecializationCitations
This map shows the geographic impact of Gang 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 Gang Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Tu more than expected).
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