Mei Jin

About

Mei Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Mei Jin has authored 14 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Mei Jin’s work include Coronary Artery Anomalies (9 papers), Congenital Heart Disease Studies (4 papers) and Cardiovascular Issues in Pregnancy (3 papers). Mei Jin is often cited by papers focused on Coronary Artery Anomalies (9 papers), Congenital Heart Disease Studies (4 papers) and Cardiovascular Issues in Pregnancy (3 papers). Mei Jin collaborates with scholars based in China and United States. Mei Jin's co-authors include Yanyan Xiao, Ling Han, Tingting Chen, Xianmin Wang and Ke Zheng and has published in prestigious journals such as Scientific Reports, Fertility and Sterility and Acta Obstetricia Et Gynecologica Scandinavica.

In The Last Decade

Fields of papers citing papers by Mei Jin

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

Countries citing papers authored by Mei Jin

Since Specialization

Citations

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

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