Quan Na

41 papers and 436 indexed citations i.

About

Quan Na is a scholar working on Obstetrics and Gynecology, Epidemiology and Molecular Biology. According to data from OpenAlex, Quan Na has authored 41 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Obstetrics and Gynecology, 14 papers in Epidemiology and 13 papers in Molecular Biology. Recurrent topics in Quan Na’s work include Pregnancy and preeclampsia studies (16 papers), Preterm Birth and Chorioamnionitis (11 papers) and Reproductive System and Pregnancy (10 papers). Quan Na is often cited by papers focused on Pregnancy and preeclampsia studies (16 papers), Preterm Birth and Chorioamnionitis (11 papers) and Reproductive System and Pregnancy (10 papers). Quan Na collaborates with scholars based in China, United States and South Korea. Quan Na's co-authors include Weiwei Song, Leilei Wang, Dan Wang, Caixia Liu, Jun Lei, Irina Burd, Jie Dong, Qiuling Li, Hong Cui and Jing Chen and has published in prestigious journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Quan Na i

Fields of papers citing papers by Quan Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan Na. 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 Quan Na. The network helps show where Quan Na may publish in the future.

Countries citing papers authored by Quan Na

Since Specialization
Citations

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