Quan Na

66 total papers · 628 total citations
43 papers, 410 citations indexed

About

Quan Na is a scholar working on Obstetrics and Gynecology, Epidemiology and Molecular Biology. According to data from OpenAlex, Quan Na has authored 43 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Obstetrics and Gynecology, 15 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Quan Na's work include Pregnancy and preeclampsia studies (16 papers), Preterm Birth and Chorioamnionitis (12 papers) and Reproductive System and Pregnancy (11 papers). Quan Na is often cited by papers focused on Pregnancy and preeclampsia studies (16 papers), Preterm Birth and Chorioamnionitis (12 papers) and Reproductive System and Pregnancy (11 papers). Quan Na collaborates with scholars based in China, United States and South Korea. Quan Na's co-authors include Weiwei Song, Guiyu Song, Caixia Liu, Jun Lei, Irina Burd, Jie Dong, Qiuling Li, Hong Cui, Weiwei Song and Chong Qiao and has published in prestigious journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and BMC Bioinformatics.

In The Last Decade

Quan Na

38 papers receiving 405 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Quan Na 184 149 123 115 86 43 410
Xietong Wang 172 0.9× 127 0.9× 101 0.8× 71 0.6× 152 1.8× 40 402
Yuanhua Ye 271 1.5× 136 0.9× 135 1.1× 89 0.8× 129 1.5× 34 441
Lihong Pang 152 0.8× 100 0.7× 85 0.7× 77 0.7× 127 1.5× 36 371
Keiji Sakai 143 0.8× 139 0.9× 79 0.6× 42 0.4× 130 1.5× 24 480
Yan Zhang 199 1.1× 170 1.1× 113 0.9× 81 0.7× 117 1.4× 32 463
Lina Wang 108 0.6× 186 1.2× 77 0.6× 129 1.1× 86 1.0× 33 490
Akihito Horie 195 1.1× 97 0.7× 110 0.9× 57 0.5× 140 1.6× 60 458
Lili Zheng 150 0.8× 151 1.0× 53 0.4× 99 0.9× 57 0.7× 29 390
Sarah Meister 95 0.5× 152 1.0× 45 0.4× 45 0.4× 146 1.7× 43 471
Yao Fan 94 0.5× 227 1.5× 69 0.6× 114 1.0× 56 0.7× 32 457

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).

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.

Co-authorship network of co-authors of Quan Na

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Na. A scholar is included among the top collaborators of Quan Na based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Quan Na. Quan Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026