Quan Qiu

1.1k citations
29 papers · 669 indexed · h-index 13

Quan Qiu

27 papers receiving 661 citations

Peers

Quan Qiu
Comparison fields: 5 of 86
  • Geriatrics and Gerontology 60
  • Physiology 30
  • Cell Biology 91
  • Epidemiology 187
  • Cancer Research 76
Replace Xiaolin Zhu with:
Xiaolin Zhu China
Stefanie Bertram Germany
Cecilia Fu United States
Pranjali Dalvi United States
Tamio Okimoto Japan
Hidetaka Shibata Japan
Sarah Niccoli Canada
Wasim Dar United States
Madi El-Haj Israel
Fangxu Tang China
Quan Qiu relative to Xiaolin Zhu China Xiaolin Zhu's profile →
Citations per field
00.5×8.3×
Xiaolin Zhu · 1×
Citations per year

Countries citing papers authored by Quan Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Quan Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Quan Qiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Quan Qiu Line = papers co-authored together Quan Qiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20241
4 20224
5 202115
6 202043
7 201915
8 201975
9 201912
10 201645
11
[Seroepidemiological analysis of hepatitis B among children aged 1-14 in 3 counties of Guangdong province in 2013].
20153
12 201531
13 201564
14 201513
15 201442
16 2013154
17 201318
18
[Evaluation on the application of the mouse nicotine toxicity experiment in tobacco control among adolescents].
20071
19
[Study on the determinants of 'signing agreements' to establish smoke-free homes among 2019 parents of the secondary school students].
20071
20
Effect of berberine on lymphocyte endothelium adhesion and adhesion molecules ex pression
19991

About Quan Qiu

Quan Qiu is a scholar working on Physiology, Immunology and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 669 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Immune Cell Function and Interaction (4 papers), Hepatitis B Virus Studies (3 papers), T-cell and B-cell Immunology (3 papers), Cardiovascular Effects of Exercise (2 papers), Immunotherapy and Immune Responses (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Geriatrics and Gerontology (60 citations), Physiology (30 citations) and Cell Biology (91 citations). Quan Qiu has collaborated with scholars based in China, United States and Tunisia. Frequent co-authors include Deyu Fang, Beixue Gao, Sinyi Kong, Zhenghong Lin, Can Tan, Zhaojian Liu, Heeyoung Yang, Jinping Li, Hee‐Young Yang and Xiaoxue Yu. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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