Qingwei Chu
- Molecular Biology top 2%
- Surgery top 5%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Co-authors
- Morris J. BirnbaumJoanne L. ThorvaldsenHan ChoKlaus H. KaestnerFei FengE. Bryan CrenshawJason K. KimJames Mu
- Topics
- Metabolism, Diabetes, and Cancer (8 papers)Pancreatic function and diabetes (5 papers)FOXO transcription factor regulation (4 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Qingwei Chu
15 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 3.1k
- Surgery 1.1k
- Physiology 1.0k
- Endocrinology, Diabetes and Metabolism 775
- Epidemiology 570
Countries citing papers authored by Qingwei Chu
This map shows the geographic impact of Qingwei Chu'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 Qingwei Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingwei Chu more than expected).
Fields of papers citing papers by Qingwei Chu
This network shows the impact of papers produced by Qingwei Chu. 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 Qingwei Chu. The network helps show where Qingwei Chu may publish in the future.
Co-authorship network of co-authors of Qingwei Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Qingwei Chu. A scholar is included among the top collaborators of Qingwei Chu 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 Qingwei Chu. Qingwei Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 33 | |
| 4 | 73 | |
| 5 | 24 | |
| 6 | Quantitative Analysis of the Whole-Body Metabolic Fate of Branched-Chain Amino Acidsbreakdown → | 342 |
| 7 | 216 | |
| 8 | 128 | |
| 9 | 22 | |
| 10 | Biguanides suppress hepatic glucagon signalling by decreasing production of cyclic AMPbreakdown → | 662 |
| 11 | 65 | |
| 12 | 306 | |
| 13 | 142 | |
| 14 | Insulin Resistance and a Diabetes Mellitus-Like Syndrome in Mice Lacking the Protein Kinase Akt2 (PKBβ)breakdown → | 1512 |
| 15 | Akt1/PKBα Is Required for Normal Growth but Dispensable for Maintenance of Glucose Homeostasis in Micebreakdown → | 795 |
About Qingwei Chu
Qingwei Chu is a scholar working on Geriatrics and Gerontology, Biological Psychiatry and Physiology, having authored 15 papers that have together received 4.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (5 papers) and FOXO transcription factor regulation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (775 citations), Molecular Biology (3.1k citations) and Physiology (1.0k citations). Qingwei Chu has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Morris J. Birnbaum, Joanne L. Thorvaldsen, Han Cho, Klaus H. Kaestner, Fei Feng, E. Bryan Crenshaw, Jason K. Kim, James Mu, Marisa S. Bartolomei and Gerald I. Shulman. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.