Gang Han
About
Gang Han is a scholar working on Molecular Biology, Cancer Research and Immunology.
According to data from OpenAlex, Gang Han has authored 56 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Gang Han’s work include Muscle Physiology and Disorders (13 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (6 papers). Gang Han is often cited by papers focused on Muscle Physiology and Disorders (13 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (6 papers). Gang Han collaborates with scholars based in China, United States and Singapore. Gang Han's co-authors include HaiFang Yin, Xianjun Gao, Ben J. Gu, Limin Cao and Renwei Jing and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Gang Han
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 Gang Han. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Han may publish in the future.
Countries citing papers authored by Gang Han
Since SpecializationCitations
This map shows the geographic impact of Gang Han'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 Gang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Han more than expected).
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