Q Li
About
Q Li is a scholar working on Molecular Biology, Mechanical Engineering and Cancer Research.
According to data from OpenAlex, Q Li has authored 16 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Mechanical Engineering and 3 papers in Cancer Research. Recurrent topics in Q Li’s work include Cancer-related molecular mechanisms research (3 papers), Superconducting Materials and Applications (2 papers) and Computational Drug Discovery Methods (2 papers). Q Li is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Superconducting Materials and Applications (2 papers) and Computational Drug Discovery Methods (2 papers). Q Li collaborates with scholars based in China, France and Hong Kong. Q Li's co-authors include Wei Pan, Liao‐Kuo Gong, J. Wu and Damao Yao and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Medical Physics and Insect Molecular Biology.
In The Last Decade
Fields of papers citing papers by Q Li
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 Q Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Q Li may publish in the future.
Countries citing papers authored by Q Li
Since SpecializationCitations
This map shows the geographic impact of Q Li'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 Q Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q Li more than expected).
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