Min Da

20 papers and 260 indexed citations i.

About

Min Da is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Min Da has authored 20 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Min Da’s work include Congenital Heart Disease Studies (9 papers), Congenital heart defects research (5 papers) and Tracheal and airway disorders (3 papers). Min Da is often cited by papers focused on Congenital Heart Disease Studies (9 papers), Congenital heart defects research (5 papers) and Tracheal and airway disorders (3 papers). Min Da collaborates with scholars based in China. Min Da's co-authors include Xuming Mo, Di Yu, Xuming Mo, Lei Yang, Yu Feng, Zhiqi Wang, Cheng Xu, Yuan Lin, Zhaocong Yang and Wei Peng and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Co-authorship network of co-authors of Min Da i

Fields of papers citing papers by Min Da

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

Countries citing papers authored by Min Da

Since Specialization
Citations

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

Rankless by CCL
2025