Liang Xia
About
Liang Xia is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Liang Xia has authored 57 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Liang Xia’s work include Cancer-related molecular mechanisms research (7 papers), Glioma Diagnosis and Treatment (6 papers) and Ovarian cancer diagnosis and treatment (4 papers). Liang Xia is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Glioma Diagnosis and Treatment (6 papers) and Ovarian cancer diagnosis and treatment (4 papers). Liang Xia collaborates with scholars based in China, United States and United Kingdom. Liang Xia's co-authors include Caixing Sun, Chenyan Fang, Qinglin Li, Fang Fěng and Liwen Li and has published in prestigious journals such as PLoS ONE, Chemistry of Materials and PLANT PHYSIOLOGY.
In The Last Decade
Fields of papers citing papers by Liang Xia
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 Liang Xia. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Liang Xia may publish in the future.
Countries citing papers authored by Liang Xia
Since SpecializationCitations
This map shows the geographic impact of Liang Xia'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 Liang Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Xia more than expected).
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