Run Lu
About
Run Lu is a scholar working on Pharmacology, Molecular Biology and Oncology.
According to data from OpenAlex, Run Lu has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmacology, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Run Lu’s work include Inflammatory mediators and NSAID effects (11 papers), Drug Transport and Resistance Mechanisms (9 papers) and Estrogen and related hormone effects (7 papers). Run Lu is often cited by papers focused on Inflammatory mediators and NSAID effects (11 papers), Drug Transport and Resistance Mechanisms (9 papers) and Estrogen and related hormone effects (7 papers). Run Lu collaborates with scholars based in United States, China and United Kingdom. Run Lu's co-authors include Victor L. Schuster, Yi Bao, Brenda S. Chan, Naoaki KANAI and Michael L. Pucci and has published in prestigious journals such as Science, Journal of Biological Chemistry and Circulation.
In The Last Decade
Fields of papers citing papers by Run Lu
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 Run Lu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Run Lu may publish in the future.
Countries citing papers authored by Run Lu
Since SpecializationCitations
This map shows the geographic impact of Run Lu'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 Run Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Lu more than expected).
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