Hao Fan
About
Hao Fan is a scholar working on Molecular Biology, Materials Chemistry and Oncology.
According to data from OpenAlex, Hao Fan has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 18 papers in Materials Chemistry and 12 papers in Oncology. Recurrent topics in Hao Fan’s work include Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (17 papers) and Computational Drug Discovery Methods (11 papers). Hao Fan is often cited by papers focused on Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (17 papers) and Computational Drug Discovery Methods (11 papers). Hao Fan collaborates with scholars based in Singapore, United States and China. Hao Fan's co-authors include Andrej Šali, Brian K. Shoichet, Alan E. Mark and R. N. V. Krishna Deepak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
In The Last Decade
Fields of papers citing papers by Hao Fan
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 Hao Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hao Fan may publish in the future.
Countries citing papers authored by Hao Fan
Since SpecializationCitations
This map shows the geographic impact of Hao Fan'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 Hao Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Fan more than expected).
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