Feng Gu
About
Feng Gu is a scholar working on Molecular Biology, Oncology and Cancer Research.
According to data from OpenAlex, Feng Gu has authored 138 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 44 papers in Oncology and 35 papers in Cancer Research. Recurrent topics in Feng Gu’s work include Breast Cancer Treatment Studies (13 papers), Breast Lesions and Carcinomas (13 papers) and Cell Adhesion Molecules Research (12 papers). Feng Gu is often cited by papers focused on Breast Cancer Treatment Studies (13 papers), Breast Lesions and Carcinomas (13 papers) and Cell Adhesion Molecules Research (12 papers). Feng Gu collaborates with scholars based in China, United States and Japan. Feng Gu's co-authors include Li Fu, Ronggang Lang, Yongjie Ma, Xiaojing Guo and Yu Fan and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The EMBO Journal.
In The Last Decade
Fields of papers citing papers by Feng Gu
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 Feng Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Feng Gu may publish in the future.
Countries citing papers authored by Feng Gu
Since SpecializationCitations
This map shows the geographic impact of Feng Gu'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 Feng Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Gu more than expected).
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