Kun‐Liang Guan
About
Kun‐Liang Guan is a scholar working on Molecular Biology, Cell Biology and Cancer Research.
According to data from OpenAlex, Kun‐Liang Guan has authored 418 papers receiving a total of 84.6k indexed citations (citations by other indexed papers that have themselves been cited), including 296 papers in Molecular Biology, 142 papers in Cell Biology and 57 papers in Cancer Research. Recurrent topics in Kun‐Liang Guan’s work include Hippo pathway signaling and YAP/TAZ (112 papers), PI3K/AKT/mTOR signaling in cancer (73 papers) and Protein Kinase Regulation and GTPase Signaling (57 papers). Kun‐Liang Guan is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (112 papers), PI3K/AKT/mTOR signaling in cancer (73 papers) and Protein Kinase Regulation and GTPase Signaling (57 papers). Kun‐Liang Guan collaborates with scholars based in United States, China and Japan. Kun‐Liang Guan's co-authors include Yue Xiong, Ken Inoki, Qun‐Ying Lei, Bin Zhao and Zhipeng Meng and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Fields of papers citing papers by Kun‐Liang 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 Kun‐Liang Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun‐Liang Guan may publish in the future.
Countries citing papers authored by Kun‐Liang Guan
Since SpecializationCitations
This map shows the geographic impact of Kun‐Liang 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 Kun‐Liang Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Liang Guan more than expected).
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