Zaiqing Yang
Impact in
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
- Epidemiology 23
- Adipokines, Inflammation, and Metabolic Diseases 20
-
- Peroxisome Proliferator-Activated Receptors 7
- Kruppel-like factors research 4
- Co-authors
- Xiaodong Chen (19 shared papers)Lei Zhou (13 shared papers)Yu An (11 shared papers)Dan Jin (9 shared papers)Jun Sun (6 shared papers)Bin Feng (6 shared papers)Ping Jiao (2 shared papers)Qian Tao (4 shared papers)
- Journals
- Molecular and Cellular Endocrinology (5 papers)Gene (4 papers)BMB Reports (2 papers)The International Journal of Biochemistry & Cell Biology (2 papers)Domestic Animal Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zaiqing Yang
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Epidemiology 467
- Physiology 318
- Endocrine and Autonomic Systems 77
- Cancer Research 156
- Geriatrics and Gerontology 32
Countries citing papers authored by Zaiqing Yang
This map shows the geographic impact of Zaiqing Yang'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 Zaiqing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaiqing Yang more than expected).
Fields of papers citing papers by Zaiqing Yang
This network shows the impact of papers produced by Zaiqing Yang. 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 Zaiqing Yang. The network helps show where Zaiqing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zaiqing Yang, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 117 | |
| 2 | 2015 | 90 | |
| 3 | 2018 | 69 | |
| 4 | 2015 | 64 | |
| 5 | 2009 | 52 | |
| 6 | 2017 | 52 | |
| 7 | 2016 | 50 | |
| 8 | 2014 | 47 | |
| 9 | 2014 | 47 | |
| 10 | 2012 | 46 | |
| 11 | 2010 | 46 | |
| 12 | 2012 | 44 | |
| 13 | 2007 | 33 | |
| 14 | 2010 | 32 | |
| 15 | 2009 | 31 | |
| 16 | 2016 | 30 | |
| 17 | 2010 | 29 | |
| 18 | 2009 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2005 | 24 |
About Zaiqing Yang
Zaiqing Yang is a scholar working on Epidemiology, Molecular Biology, Physiology, Biochemistry and Cell Biology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (20 papers), Adipose Tissue and Metabolism (13 papers), Lipid metabolism and biosynthesis (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Regulation of Appetite and Obesity (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Kruppel-like factors research (4 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Epidemiology (467 citations), Physiology (318 citations), Endocrine and Autonomic Systems (77 citations), Cancer Research (156 citations) and Geriatrics and Gerontology (32 citations). Zaiqing Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaodong Chen, Lei Zhou, Yu An, Dan Jin, Jun Sun, Bin Feng, Ping Jiao, Qian Tao, Li Gan and Xiaoling Yu. Their work appears in journals such as Molecular and Cellular Endocrinology, Gene, BMB Reports, The International Journal of Biochemistry & Cell Biology and Domestic Animal Endocrinology.
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.