Kaili Fu
About
Kaili Fu is a scholar working on Oncology, Surgery and Cardiology and Cardiovascular Medicine.
According to data from OpenAlex, Kaili Fu has authored 29 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 7 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kaili Fu’s work include Peptidase Inhibition and Analysis (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Kaili Fu is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Kaili Fu collaborates with scholars based in China, Hong Kong and United States. Kaili Fu's co-authors include Qin Lin, Haojun Chen, Long Sun and Hua Wu and has published in prestigious journals such as Cell, PLoS ONE and Oncogene.
In The Last Decade
Fields of papers citing papers by Kaili 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 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 SpecializationCitations
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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