Chen Daoda

About

Chen Daoda is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Chen Daoda has authored 23 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Chen Daoda’s work include Chemokine receptors and signaling (3 papers), Cancer Cells and Metastasis (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Chen Daoda is often cited by papers focused on Chemokine receptors and signaling (3 papers), Cancer Cells and Metastasis (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Chen Daoda collaborates with scholars based in China and Hong Kong. Chen Daoda's co-authors include Yuan Tian, Jinghui Zhang, Zong-hai Huang, Ren Zhao and Chunyou Wang and has published in prestigious journals such as Journal of Clinical Oncology.

In The Last Decade

Fields of papers citing papers by Chen Daoda

Since Specialization

EngineeringComputer 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 Chen Daoda. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chen Daoda may publish in the future.

Countries citing papers authored by Chen Daoda

Since Specialization

Citations

This map shows the geographic impact of Chen Daoda'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 Chen Daoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Daoda more than expected).

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