Like Qu
About
Like Qu is a scholar working on Molecular Biology, Oncology and Immunology.
According to data from OpenAlex, Like Qu has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 26 papers in Oncology and 14 papers in Immunology. Recurrent topics in Like Qu’s work include Protein Tyrosine Phosphatases (13 papers), Glycosylation and Glycoproteins Research (10 papers) and Galectins and Cancer Biology (9 papers). Like Qu is often cited by papers focused on Protein Tyrosine Phosphatases (13 papers), Glycosylation and Glycoproteins Research (10 papers) and Galectins and Cancer Biology (9 papers). Like Qu collaborates with scholars based in China, United States and Canada. Like Qu's co-authors include Chengchao Shou, Lin Meng, Yong Han and Chuanke Zhao and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Cell Biology.
In The Last Decade
Fields of papers citing papers by Like Qu
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 Like Qu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Like Qu may publish in the future.
Countries citing papers authored by Like Qu
Since SpecializationCitations
This map shows the geographic impact of Like Qu'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 Like Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Like Qu more than expected).
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