Wei Cui
Impact in
- Geriatrics and Gerontology top 10%
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
-
- Peroxisome Proliferator-Activated Receptors 7
- Metabolism, Diabetes, and Cancer 5
- Receptor Mechanisms and Signaling 3
- Physiology 10
- Adipose Tissue and Metabolism 8
- Co-authors
- Ke‐Qin Hu (6 shared papers)Robin MacLaren (5 shared papers)Katherine Cianflone (3 shared papers)David Kalant (3 shared papers)Serge Simard (2 shared papers)Stéphane A. Laporte (2 shared papers)Changhong Yu (1 shared paper)Xuan Mu (1 shared paper)
- Journals
- Molecular Immunology (2 papers)Nutrients (2 papers)Vaccine (2 papers)Analytical Chemistry (2 papers)Acta Biochimica et Biophysica Sinica (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Wei Cui
53 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Geriatrics and Gerontology 38
- Epidemiology 373
- Endocrine and Autonomic Systems 74
- Immunology 226
- Physiology 252
Countries citing papers authored by Wei Cui
This map shows the geographic impact of Wei Cui'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 Wei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Cui more than expected).
Fields of papers citing papers by Wei Cui
This network shows the impact of papers produced by Wei Cui. 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 Wei Cui. The network helps show where Wei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Cui, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantification and mechanisms of oleic acid-induced steatosis in HepG2 cells. | 2010 | 163 |
| 2 | 2005 | 155 | |
| 3 | 2014 | 108 | |
| 4 | 2011 | 91 | |
| 5 | 2007 | 86 | |
| 6 | 2005 | 71 | |
| 7 | 2006 | 70 | |
| 8 | 2010 | 64 | |
| 9 | 2008 | 61 | |
| 10 | 2012 | 61 | |
| 11 | 2009 | 54 | |
| 12 | 2008 | 51 | |
| 13 | 2007 | 46 | |
| 14 | 2015 | 46 | |
| 15 | 2009 | 44 | |
| 16 | 2009 | 39 | |
| 17 | 2019 | 37 | |
| 18 | 2006 | 35 | |
| 19 | 2006 | 34 | |
| 20 | 2011 | 32 |
About Wei Cui
Wei Cui is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Inflammatory mediators and NSAID effects (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Receptor Mechanisms and Signaling (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Geriatrics and Gerontology (38 citations), Epidemiology (373 citations), Endocrine and Autonomic Systems (74 citations), Immunology (226 citations) and Physiology (252 citations). Wei Cui has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ke‐Qin Hu, Robin MacLaren, Katherine Cianflone, Katherine Cianflone, David Kalant, Serge Simard, Stéphane A. Laporte, Changhong Yu, Xuan Mu and Lin Zhang. Their work appears in journals such as Molecular Immunology, Nutrients, Vaccine, Analytical Chemistry and Acta Biochimica et Biophysica Sinica.
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.