Xin
About
Xin is a scholar working on Surgery, Molecular Biology and Pathology and Forensic Medicine.
According to data from OpenAlex, Xin has authored 72 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 11 papers in Molecular Biology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Xin’s work include Berberine and alkaloids research (4 papers), Mesenchymal stem cell research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Xin is often cited by papers focused on Berberine and alkaloids research (4 papers), Mesenchymal stem cell research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Xin collaborates with scholars based in and . Xin's co-authors include Liang Qin, M. A, Jiang, Wang, Tao Tao, Chen, Hongli, Xia, Lü and Ming Ming and has published in prestigious journals such as 中国癌症研究：英文版, 农业科学学报：英文版 and 中国生物学文摘.
In The Last Decade
Co-authorship network of co-authors of Xin i
Fields of papers citing papers by Xin
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 Xin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xin may publish in the future.
Countries citing papers authored by Xin
Since SpecializationCitations
This map shows the geographic impact of Xin'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 Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin more than expected).
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