Dian Fu

About

Dian Fu is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dian Fu has authored 18 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Dian Fu’s work include Bladder and Urothelial Cancer Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers) and Long-Term Effects of COVID-19 (3 papers). Dian Fu is often cited by papers focused on Bladder and Urothelial Cancer Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers) and Long-Term Effects of COVID-19 (3 papers). Dian Fu collaborates with scholars based in China. Dian Fu's co-authors include Jingping Ge, Wen Cheng, Wenquan Zhou, Wen Cheng and Chaopeng Tang and has published in prestigious journals such as Cancer Letters, Critical Care and Toxicology and Applied Pharmacology.

In The Last Decade

Fields of papers citing papers by Dian Fu

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

Countries citing papers authored by Dian Fu

Since Specialization

Citations

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

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