Yanxia Ning
Impact in
-
- Cancer, Lipids, and Metabolism
-
- Atherosclerosis and Cardiovascular Diseases
- Mast cells and histamine
Papers in
- Surgery 11
- Cholesterol and Lipid Metabolism 11
-
- Peroxisome Proliferator-Activated Receptors 8
- Co-authors
- Lianhua Yin (13 shared papers)Shunlin Ren (6 shared papers)SF Chen (7 shared papers)Xiaobo Li (8 shared papers)Xiuling Zhi (8 shared papers)William M. Pandak (4 shared papers)Fengdi Zhao (5 shared papers)Yali Xu (3 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Zhejiang University SCIENCE B (2 papers)Molecular Cancer Therapeutics (1 paper)Inflammation Research (1 paper)Cardiovascular Diabetology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yanxia Ning
24 papers receiving 600 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 116
- Immunology 151
- Oncology 151
- Pharmacology 45
- Biochemistry 31
Countries citing papers authored by Yanxia Ning
This map shows the geographic impact of Yanxia Ning'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 Yanxia Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxia Ning more than expected).
Fields of papers citing papers by Yanxia Ning
This network shows the impact of papers produced by Yanxia Ning. 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 Yanxia Ning. The network helps show where Yanxia Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanxia Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 58 | |
| 2 | 2013 | 53 | |
| 3 | 2008 | 52 | |
| 4 | 2012 | 47 | |
| 5 | 2010 | 45 | |
| 6 | 2007 | 36 | |
| 7 | 2006 | 33 | |
| 8 | 2016 | 33 | |
| 9 | 2013 | 26 | |
| 10 | 2010 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2016 | 24 | |
| 13 | 2012 | 24 | |
| 14 | 2017 | 22 | |
| 15 | 2013 | 19 | |
| 16 | 2016 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2014 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2017 | 9 |
About Yanxia Ning
Yanxia Ning is a scholar working on Surgery, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 24 papers that have together received 605 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (11 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Drug Transport and Resistance Mechanisms (6 papers), Mast cells and histamine (3 papers), Cancer, Lipids, and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (116 citations), Immunology (151 citations), Oncology (151 citations), Pharmacology (45 citations) and Biochemistry (31 citations). Yanxia Ning has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lianhua Yin, Shunlin Ren, SF Chen, Xiaobo Li, Xiuling Zhi, William M. Pandak, Fengdi Zhao, Yali Xu, Pengfei Zhu and Liangqing Yao. Their work appears in journals such as PLoS ONE, Journal of Zhejiang University SCIENCE B, Molecular Cancer Therapeutics, Inflammation Research and Cardiovascular Diabetology.
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.