Li Fu
About
Li Fu is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine.
According to data from OpenAlex, Li Fu has authored 128 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 29 papers in Oncology and 27 papers in Pathology and Forensic Medicine. Recurrent topics in Li Fu’s work include Breast Lesions and Carcinomas (18 papers), Adipose Tissue and Metabolism (16 papers) and Breast Cancer Treatment Studies (13 papers). Li Fu is often cited by papers focused on Breast Lesions and Carcinomas (18 papers), Adipose Tissue and Metabolism (16 papers) and Breast Cancer Treatment Studies (13 papers). Li Fu collaborates with scholars based in China, United States and Japan. Li Fu's co-authors include Yanmei Niu, Hairui Yuan, Feng Gu, Xiaojing Guo and Sujuan Liu and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Li Fu
Since SpecializationEngineeringComputer 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 Li Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Fu may publish in the future.
Countries citing papers authored by Li Fu
Since SpecializationCitations
This map shows the geographic impact of Li 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 Li Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fu more than expected).
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