Qingli Quan

1.1k total citations
12 papers, 124 citations indexed

About

Qingli Quan is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Genetics. According to data from OpenAlex, Qingli Quan has authored 12 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Reproductive Medicine, 4 papers in Obstetrics and Gynecology and 4 papers in Genetics. Recurrent topics in Qingli Quan's work include Endometrial and Cervical Cancer Treatments (4 papers), Endometriosis Research and Treatment (4 papers) and Reproductive System and Pregnancy (3 papers). Qingli Quan is often cited by papers focused on Endometrial and Cervical Cancer Treatments (4 papers), Endometriosis Research and Treatment (4 papers) and Reproductive System and Pregnancy (3 papers). Qingli Quan collaborates with scholars based in China and Canada. Qingli Quan's co-authors include Meixing Yu, Shanyun Wu, Chuang Yuan, Ping Chen, Kang Liu, Yang Li, Yuquan Wei, Jie Li, Chongyang Shen and Jia Tang and has published in prestigious journals such as BioMed Research International, Frontiers in Endocrinology and Stem Cell Research & Therapy.

In The Last Decade

Qingli Quan

12 papers receiving 123 citations

Peers

Qingli Quan
Comparison fields: 5 of 48
  • Molecular Biology 52
  • Immunology 26
  • Reproductive Medicine 23
  • Surgery 22
  • Cancer Research 20
Replace Kelly E. McKinnon with:
Kelly E. McKinnon United States
S. KC Nepal
Yanhua Xu China
Yuanchen Ma China
Brian Burgess United States
Wenmin Ma China
Laura Santana González United States
Florian Hermans Belgium
Guangshi Tao China
Francesco Cambuli United Kingdom
Kelly E. McKinnon United States View profile →
Citations per field, relative to Qingli Quan
Qingli Quan · 1×
Citations per year, relative to Qingli Quan
Qingli Quan · 1×

Countries citing papers authored by Qingli Quan

Since Specialization
Citations

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

Fields of papers citing papers by Qingli Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingli Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingli Quan. A scholar is included among the top collaborators of Qingli Quan 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 Qingli Quan. Qingli Quan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 1
3 3
4 14
5 2
6 2
7 26
8 10
9
Genetic analysis of the forkhead transcriptional factor 2 gene in three Chinese families with blepharophimosis syndrome.
6
10 3
11 1
12 52

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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