Ming Guan
About
Ming Guan is a scholar working on Molecular Biology, Immunology and Genetics.
According to data from OpenAlex, Ming Guan has authored 167 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 25 papers in Immunology and 22 papers in Genetics. Recurrent topics in Ming Guan’s work include Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Epigenetics and DNA Methylation (12 papers) and Angiogenesis and VEGF in Cancer (11 papers). Ming Guan is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Epigenetics and DNA Methylation (12 papers) and Angiogenesis and VEGF in Cancer (11 papers). Ming Guan collaborates with scholars based in China, Hong Kong and United States. Ming Guan's co-authors include Xinju Zhang, Zhiyuan Wu, Zhihua Kang, Yuan Lu and Jun Wan and has published in prestigious journals such as ACS Nano, PLoS ONE and Analytical Biochemistry.
In The Last Decade
Fields of papers citing papers by Ming Guan
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 Ming Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Guan may publish in the future.
Countries citing papers authored by Ming Guan
Since SpecializationCitations
This map shows the geographic impact of Ming Guan'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 Ming Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Guan more than expected).
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