Qin Ga
About
Qin Ga is a scholar working on Genetics, Physiology and Endocrine and Autonomic Systems.
According to data from OpenAlex, Qin Ga has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 12 papers in Physiology and 12 papers in Endocrine and Autonomic Systems. Recurrent topics in Qin Ga’s work include High Altitude and Hypoxia (30 papers), Neuroscience of respiration and sleep (12 papers) and Adipose Tissue and Metabolism (7 papers). Qin Ga is often cited by papers focused on High Altitude and Hypoxia (30 papers), Neuroscience of respiration and sleep (12 papers) and Adipose Tissue and Metabolism (7 papers). Qin Ga collaborates with scholars based in China, United States and Brazil. Qin Ga's co-authors include Tatum S. Simonson, Yingzhong Yang, Ri-Li Ge, Zhenzhong Bai, Chad Huff, Lynn B. Jorde, David J. Witherspoon, Jinchuan Xing, Josef T. Prchal and Felipe R. Lorenzo and has published in prestigious journals such as Science, PLoS ONE and The Journal of Physiology.
In The Last Decade
Co-authorship network of co-authors of Qin Ga i
Fields of papers citing papers by Qin Ga
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 Ga. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Qin Ga may publish in the future.
Countries citing papers authored by Qin Ga
Since SpecializationCitations
This map shows the geographic impact of Qin Ga'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 Ga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Ga more than expected).
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