Yu Fu

About

Yu Fu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yu Fu has authored 36 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Immunology. Recurrent topics in Yu Fu’s work include Epigenetics and DNA Methylation (4 papers), PARP inhibition in cancer therapy (4 papers) and Pain Mechanisms and Treatments (3 papers). Yu Fu is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), PARP inhibition in cancer therapy (4 papers) and Pain Mechanisms and Treatments (3 papers). Yu Fu collaborates with scholars based in China, United States and Hong Kong. Yu Fu's co-authors include Wei Yan, Dean Tian, Volker Neugebauer, Jeong Seok Han, Hita Adwanikar, Allan Tsung, Samer Tohme, Man Chen, Daolin Tang and Yao Liu and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Yu Fu i

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Fields of papers citing papers by Yu 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 Yu Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yu Fu may publish in the future.

Countries citing papers authored by Yu Fu

Since Specialization

Citations

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

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