WuQiang Fan
- Molecular Biology top 10%
- Physiology top 2%
- Nutrition and Dietetics top 0.5%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Jerrold M. OlefskyPingping LiHidetaka MorinagaSaswata TalukdarTakeshi ImamuraEun Ju BaeDa Young OhSteven M. Watkins
- Topics
- Adipose Tissue and Metabolism (7 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)Peroxisome Proliferator-Activated Receptors (6 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
WuQiang Fan
26 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.2k
- Physiology 980
- Nutrition and Dietetics 913
- Epidemiology 645
- Endocrinology, Diabetes and Metabolism 535
Countries citing papers authored by WuQiang Fan
This map shows the geographic impact of WuQiang Fan'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 WuQiang Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WuQiang Fan more than expected).
Fields of papers citing papers by WuQiang Fan
This network shows the impact of papers produced by WuQiang Fan. 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 WuQiang Fan. The network helps show where WuQiang Fan may publish in the future.
Co-authorship network of co-authors of WuQiang Fan
This figure shows the co-authorship network connecting the top 25 collaborators of WuQiang Fan. A scholar is included among the top collaborators of WuQiang Fan 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 WuQiang Fan. WuQiang Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 39 | |
| 7 | 12 | |
| 8 | 33 | |
| 9 | 179 | |
| 10 | 234 | |
| 11 | Adipocyte NCoR Knockout Decreases PPARg Phosphorylation and Enhances PPARg Activity and Insulin Sensitivity | 32 |
| 12 | GPR120 Is an Omega-3 Fatty Acid Receptor Mediating Potent Anti-inflammatory and Insulin-Sensitizing Effectsbreakdown → | 1921 |
| 13 | 7 | |
| 14 | 195 | |
| 15 | 74 | |
| 16 | 80 | |
| 17 | 20 | |
| 18 | Activation of protein kinase A alters subnuclear distribution pattern of human steroidogenic factor 1 in living cells. | 1 |
| 19 | 35 | |
| 20 | 49 |
About WuQiang Fan
WuQiang Fan is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Orthopedics and Sports Medicine, having authored 28 papers that have together received 3.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). The work is most often cited by research in Nutrition and Dietetics (913 citations), Biochemistry (417 citations) and Physiology (980 citations). WuQiang Fan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Jerrold M. Olefsky, Pingping Li, Hidetaka Morinaga, Saswata Talukdar, Takeshi Imamura, Eun Ju Bae, Da Young Oh, Steven M. Watkins, Wendell J. Lu and Min Lü. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Medicine.
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.