Xiao Jin
About
Xiao Jin is a scholar working on Animal Science and Zoology, Molecular Biology and Pharmacology.
According to data from OpenAlex, Xiao Jin has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Animal Science and Zoology, 17 papers in Molecular Biology and 17 papers in Pharmacology. Recurrent topics in Xiao Jin’s work include Animal Nutrition and Physiology (26 papers), Pharmacological Effects of Natural Compounds (17 papers) and Functional Brain Connectivity Studies (9 papers). Xiao Jin is often cited by papers focused on Animal Nutrition and Physiology (26 papers), Pharmacological Effects of Natural Compounds (17 papers) and Functional Brain Connectivity Studies (9 papers). Xiao Jin collaborates with scholars based in China, Japan and Estonia. Xiao Jin's co-authors include Binlin Shi, Sumei Yan, Yang Zheng, Lubin Wang and Enmao Ye and has published in prestigious journals such as PLoS ONE, NeuroImage and Biological Psychiatry.
In The Last Decade
Fields of papers citing papers by Xiao Jin
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 Xiao Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiao Jin may publish in the future.
Countries citing papers authored by Xiao Jin
Since SpecializationCitations
This map shows the geographic impact of Xiao Jin'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 Xiao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Jin more than expected).
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