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
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Da. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Min Da. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025