Shunli Fu
About
Shunli Fu is a scholar working on Immunology, Biomedical Engineering and Oncology.
According to data from OpenAlex, Shunli Fu has authored 26 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 15 papers in Biomedical Engineering and 13 papers in Oncology. Recurrent topics in Shunli Fu’s work include Nanoplatforms for cancer theranostics (14 papers), Immunotherapy and Immune Responses (12 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Shunli Fu is often cited by papers focused on Nanoplatforms for cancer theranostics (14 papers), Immunotherapy and Immune Responses (12 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Shunli Fu collaborates with scholars based in China. Shunli Fu's co-authors include Yongjun Liu, Na Zhang, Shuang Liang, Weiwei Mu and Tong Gao and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.
In The Last Decade
Fields of papers citing papers by Shunli 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 Shunli Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shunli Fu may publish in the future.
Countries citing papers authored by Shunli Fu
Since SpecializationCitations
This map shows the geographic impact of Shunli 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 Shunli Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunli Fu more than expected).
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