Hai Fang

About

Hai Fang is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Hai Fang has authored 76 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Immunology and 12 papers in Hematology. Recurrent topics in Hai Fang’s work include Bioinformatics and Genomic Networks (19 papers), Genomics and Phylogenetic Studies (10 papers) and Biomedical Text Mining and Ontologies (10 papers). Hai Fang is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Genomics and Phylogenetic Studies (10 papers) and Biomedical Text Mining and Ontologies (10 papers). Hai Fang collaborates with scholars based in China, United Kingdom and United States. Hai Fang's co-authors include Julian Gough, Kankan Wang, Julian C. Knight, Sai‐Juan Chen and Yanzhi Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

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

Countries citing papers authored by Hai Fang

Since Specialization

Citations

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

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