Zhiling Qu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Genetics 4
- Mesenchymal stem cell research 4
-
- Atherosclerosis and Cardiovascular Diseases 3
- Co-authors
- Qiurong Ruan (12 shared papers)Jun Yu (6 shared papers)Dan Yan (2 shared papers)Juan Ni (2 shared papers)Guoping Wang (1 shared paper)Yan Li (4 shared papers)Dujuan Li (4 shared papers)Dan Yan (3 shared papers)
- Journals
- Experimental and Molecular Pathology (2 papers)Life Sciences (1 paper)Oncotarget (1 paper)Disease Markers (1 paper)Journal of Vascular Surgery (1 paper)
- Partner nations
- China
In The Last Decade
Zhiling Qu
19 papers receiving 403 citations
Peers
Comparison fields: 5 of 58
- Genetics 106
- Immunology 90
- Complementary and alternative medicine 32
- Rehabilitation 9
- Molecular Biology 80
Countries citing papers authored by Zhiling Qu
This map shows the geographic impact of Zhiling Qu'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 Zhiling Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiling Qu more than expected).
Fields of papers citing papers by Zhiling Qu
This network shows the impact of papers produced by Zhiling Qu. 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 Zhiling Qu. The network helps show where Zhiling Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhiling Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 1997 | 65 | |
| 3 | 2016 | 44 | |
| 4 | 2009 | 35 | |
| 5 | 2009 | 29 | |
| 6 | 2014 | 26 | |
| 7 | 2011 | 23 | |
| 8 | 2011 | 21 | |
| 9 | 2011 | 14 | |
| 10 | Tetramethylpyrazine inhibits agiontensin II-induced nuclear factor-kappaB activation and bone morphogenetic protein-2 downregulation in rat vascular smooth muscle cells. | 2007 | 12 |
| 11 | 2010 | 12 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2012 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2003 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2004 | 1 | |
| 19 | [Homocysteine induces macrophage inflammatory protein-1alpha expression by activating NF-kappaB in THP-1 monocytes]. | 2005 | 1 |
| 20 | 2025 | 0 |
About Zhiling Qu
Zhiling Qu is a scholar working on Genetics, Immunology, Complementary and alternative medicine, Molecular Biology and Cancer Research, having authored 20 papers that have together received 410 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Angiogenesis and VEGF in Cancer (3 papers), TGF-β signaling in diseases (2 papers), Natural Compounds in Disease Treatment (2 papers), RNA Interference and Gene Delivery (1 paper), Folate and B Vitamins Research (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Genetics (106 citations), Immunology (90 citations), Complementary and alternative medicine (32 citations), Rehabilitation (9 citations) and Molecular Biology (80 citations). Zhiling Qu has collaborated with scholars based in China. Frequent co-authors include Qiurong Ruan, Jun Yu, Dan Yan, Juan Ni, Guoping Wang, Yan Li, Dujuan Li, Dan Yan, Xiaoyan Wang and Sheng Zhou. Their work appears in journals such as Experimental and Molecular Pathology, Life Sciences, Oncotarget, Disease Markers and Journal of Vascular Surgery.
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.