Si Fang

About

Si Fang is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Si Fang has authored 12 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Si Fang’s work include Genetic Associations and Epidemiology (5 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Si Fang is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Si Fang collaborates with scholars based in United Kingdom, China and United States. Si Fang's co-authors include George Davey Smith, Tom G. Richardson, Tom R. Gaunt, Michael V. Holmes and Jamie Inshaw and has published in prestigious journals such as Nature Communications, Human Molecular Genetics and PLoS Medicine.

In The Last Decade

Fields of papers citing papers by Si Fang

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 Si Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Si Fang may publish in the future.

Countries citing papers authored by Si Fang

Since Specialization

Citations

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

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