Qin L
About
Qin L is a scholar working on Surgery, Molecular Biology and Cancer Research.
According to data from OpenAlex, Qin L has authored 25 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Qin L’s work include MicroRNA in disease regulation (2 papers), Social Media in Health Education (2 papers) and Environmental and Agricultural Sciences (2 papers). Qin L is often cited by papers focused on MicroRNA in disease regulation (2 papers), Social Media in Health Education (2 papers) and Environmental and Agricultural Sciences (2 papers). Qin L collaborates with scholars based in China and United States. Qin L's co-authors include Kenneth D. Chavin, Jonathan S. Bromberg, Justin Favaro, Hideaki Tahara and Neil Tanna and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Communications and The Journal of Immunology.
In The Last Decade
Fields of papers citing papers by Qin L
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 Qin L. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Qin L may publish in the future.
Countries citing papers authored by Qin L
Since SpecializationCitations
This map shows the geographic impact of Qin L'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 Qin L with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin L more than expected).
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