Kaili Fu

About

Kaili Fu is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Kaili Fu has authored 13 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Kaili Fu’s work include Drug Transport and Resistance Mechanisms (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Liver physiology and pathology (2 papers). Kaili Fu is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Liver physiology and pathology (2 papers). Kaili Fu collaborates with scholars based in China, Hong Kong and United States. Kaili Fu's co-authors include Huichang Bi, Min Huang, Huizhen Zhang, Yiming Jiang and Lihuan Guan and has published in prestigious journals such as Hepatology, Gut and Journal of Hepatology.

In The Last Decade

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

Countries citing papers authored by Kaili Fu

Since Specialization

Citations

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

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