Qiu‐Yan Liu

648 citations
15 papers · 541 indexed · h-index 11
Topics
Alzheimer's disease research and treatments (6 papers)Genetic Associations and Epidemiology (2 papers)Mitochondrial Function and Pathology (2 papers)

In The Last Decade

Qiu‐Yan Liu

14 papers receiving 532 citations

Peers

Qiu‐Yan Liu
Comparison fields: 5 of 80
  • Molecular Biology 323
  • Physiology 227
  • Cancer Research 145
  • Genetics 71
  • Neurology 58
Replace Danyun Zhao with:
Danyun Zhao United States
Christoph Preuß United States
Aimee Jones United States
Payam Emami Khoonsari Sweden
Masaaki Hokama Japan
Marcela Sjöberg Chile
Andrea Köhler Austria
Rafael Borba Rosa Brazil
Masami Shimizu‐Albergine United States
Daoyuan Lu United States
Qiu‐Yan Liu relative to Danyun Zhao United States Danyun Zhao's profile →
Citations per field
00.5×1.5×1.8×
Danyun Zhao · 1×
Citations per year

Countries citing papers authored by Qiu‐Yan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qiu‐Yan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiu‐Yan Liu. 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 Qiu‐Yan Liu. The network helps show where Qiu‐Yan Liu may publish in the future.

Co-authorship network of co-authors of Qiu‐Yan Liu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 53
3 2
4 9
5 13
6 177
7 28
8 16
9 46
10 8
11 19
12 23
13 120
14 10
15
Integrin expression and function in HPV 16-immortalised human keratinocytes in the presence or absence of v-Ha-ras. Comparison with cervical intraepithelial neoplasia.
17

About Qiu‐Yan Liu

Qiu‐Yan Liu is a scholar working on Physiology, Pharmaceutical Science and Clinical Biochemistry, having authored 15 papers that have together received 541 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Genetic Associations and Epidemiology (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (145 citations), Physiology (227 citations) and Neurology (58 citations). Qiu‐Yan Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lan Tan, Jin‐Tai Yu, Hui-Fu Wang, Meng‐Shan Tan, Lin Tan, Teng Jiang, Wei Zhang, Xiaoying Ma, Zhong‐Chen Wu and Hui‐Fu Wang. Their work appears in journals such as Brain Research, Monthly Notices of the Royal Astronomical Society and Neurobiology of Aging.

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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