Nian Fu

About

Nian Fu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Nian Fu has authored 27 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in Nian Fu’s work include Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Autophagy in Disease and Therapy (4 papers). Nian Fu is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Autophagy in Disease and Therapy (4 papers). Nian Fu collaborates with scholars based in China and United Kingdom. Nian Fu's co-authors include Xuefeng Yang, Linxi Chen, Ting Cao and Min Zeng and has published in prestigious journals such as Journal of Cellular Physiology, Clinica Chimica Acta and Pharmacological Research.

In The Last Decade

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

Countries citing papers authored by Nian Fu

Since Specialization

Citations

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

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