Gang Quan

About

Gang Quan is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Gang Quan has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Cancer Research. Recurrent topics in Gang Quan’s work include Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Diabetes Treatment and Management (1 paper). Gang Quan is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Diabetes Treatment and Management (1 paper). Gang Quan collaborates with scholars based in China, United States and Japan. Gang Quan's co-authors include Stephen D. Turley, Jianxin Jiang, John M. Dietschy, Xinyuan Liu and Joyce J. Repa and has published in prestigious journals such as Journal of Lipid Research, AJP Gastrointestinal and Liver Physiology and Cell Death and Disease.

In The Last Decade

Fields of papers citing papers by Gang Quan

Since Specialization

EngineeringComputer 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 Gang Quan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Quan may publish in the future.

Countries citing papers authored by Gang Quan

Since Specialization

Citations

This map shows the geographic impact of Gang Quan'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 Gang Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Quan more than expected).

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