Kai Ma
About
Kai Ma is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology.
According to data from OpenAlex, Kai Ma has authored 124 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pulmonary and Respiratory Medicine, 35 papers in Surgery and 31 papers in Epidemiology. Recurrent topics in Kai Ma’s work include Congenital Heart Disease Studies (25 papers), Cardiac Structural Anomalies and Repair (12 papers) and Pulmonary Hypertension Research and Treatments (10 papers). Kai Ma is often cited by papers focused on Congenital Heart Disease Studies (25 papers), Cardiac Structural Anomalies and Repair (12 papers) and Pulmonary Hypertension Research and Treatments (10 papers). Kai Ma collaborates with scholars based in China, United States and United Kingdom. Kai Ma's co-authors include Qiuming Chen, Zhongdong Hua, Hao Zhang, Shoujun Li and Keming Yang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Chemical Communications.
In The Last Decade
Fields of papers citing papers by Kai Ma
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 Kai Ma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Ma may publish in the future.
Countries citing papers authored by Kai Ma
Since SpecializationCitations
This map shows the geographic impact of Kai Ma'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 Kai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ma more than expected).
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