Shouzhi Fu

About

Shouzhi Fu is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Shouzhi Fu has authored 21 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Neurology. Recurrent topics in Shouzhi Fu’s work include COVID-19 diagnosis using AI (3 papers), COVID-19 Clinical Research Studies (3 papers) and Sepsis Diagnosis and Treatment (2 papers). Shouzhi Fu is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), COVID-19 Clinical Research Studies (3 papers) and Sepsis Diagnosis and Treatment (2 papers). Shouzhi Fu collaborates with scholars based in China, United States and Japan. Shouzhi Fu's co-authors include Luyu Yang, Jun Ren, Jun‐Ming Tang, Xiaxia Yu and Jia‐Ning Wang and has published in prestigious journals such as Scientific Reports, American Journal Of Pathology and British Journal of Pharmacology.

In The Last Decade

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

Countries citing papers authored by Shouzhi Fu

Since Specialization

Citations

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

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