Bin Guan
About
Bin Guan is a scholar working on Molecular Biology, Cancer Research and Genetics.
According to data from OpenAlex, Bin Guan has authored 82 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Bin Guan’s work include Ubiquitin and proteasome pathways (8 papers), Cancer Mechanisms and Therapy (7 papers) and Chromatin Remodeling and Cancer (7 papers). Bin Guan is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Cancer Mechanisms and Therapy (7 papers) and Chromatin Remodeling and Cancer (7 papers). Bin Guan collaborates with scholars based in United States, China and Taiwan. Bin Guan's co-authors include Ie‐Ming Shih, Tian‐Li Wang, Qing Kong, Charles J. Bieberich and Robert B. Hufnagel and has published in prestigious journals such as Nature, The Lancet and Journal of Biological Chemistry.
In The Last Decade
Fields of papers citing papers by Bin 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 Bin Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Guan may publish in the future.
Countries citing papers authored by Bin Guan
Since SpecializationCitations
This map shows the geographic impact of Bin 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 Bin Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Guan more than expected).
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