Dian-na Gu
About
Dian-na Gu is a scholar working on Oncology, Cancer Research and Molecular Biology.
According to data from OpenAlex, Dian-na Gu has authored 26 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 12 papers in Cancer Research and 11 papers in Molecular Biology. Recurrent topics in Dian-na Gu’s work include MicroRNA in disease regulation (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Cancer-related molecular mechanisms research (4 papers). Dian-na Gu is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Cancer-related molecular mechanisms research (4 papers). Dian-na Gu collaborates with scholars based in China, Norway and United Kingdom. Dian-na Gu's co-authors include Ling Tian, Mingjie Jiang, Qian Huang, Juanjuan Dai and Zhu Mei and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and Molecular Cancer.
In The Last Decade
Fields of papers citing papers by Dian-na 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 Dian-na Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dian-na Gu may publish in the future.
Countries citing papers authored by Dian-na Gu
Since SpecializationCitations
This map shows the geographic impact of Dian-na 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 Dian-na Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian-na Gu more than expected).
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