Xiaoling Jia

About

Xiaoling Jia is a scholar working on Molecular Biology, Biomaterials and Surgery. According to data from OpenAlex, Xiaoling Jia has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Biomaterials and 9 papers in Surgery. Recurrent topics in Xiaoling Jia’s work include Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Angiogenesis and VEGF in Cancer (4 papers). Xiaoling Jia is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Angiogenesis and VEGF in Cancer (4 papers). Xiaoling Jia collaborates with scholars based in China, United Kingdom and United States. Xiaoling Jia's co-authors include Yubo Fan, Xiaoyan Yuan, Xianghui Gong and Yunhui Zhao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Fields of papers citing papers by Xiaoling Jia

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

Countries citing papers authored by Xiaoling Jia

Since Specialization

Citations

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

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