Xiaoling

About

Xiaoling is a scholar working on Plant Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Xiaoling has authored 76 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 13 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Xiaoling’s work include Gamma-Aminobutyric Acid Metabolism in Plants (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Water Quality Monitoring and Analysis (2 papers). Xiaoling is often cited by papers focused on Gamma-Aminobutyric Acid Metabolism in Plants (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Water Quality Monitoring and Analysis (2 papers). Xiaoling collaborates with scholars based in China. Xiaoling's co-authors include Zhang, Jing, Gao, Jiang and Guo and has published in prestigious journals such as Chinese Physics B.

In The Last Decade

Fields of papers citing papers by Xiaoling

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

Countries citing papers authored by Xiaoling

Since Specialization

Citations

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

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