Xue-Liang Du
- Molecular Biology
- Physiology top 5%
- Clinical Biochemistry top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Co-authors
- Diane EdelsteinMichael BrownleeSho‐ichi YamagishiJie WuLuciano RossettiI. George FantusHoward GoldbergFuad N. Ziyadeh
- Topics
- Adipose Tissue and Metabolism (3 papers)Advanced Glycation End Products research (2 papers)Adenosine and Purinergic Signaling (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Xue-Liang Du
6 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 660
- Physiology 549
- Clinical Biochemistry 400
- Endocrinology, Diabetes and Metabolism 384
- Epidemiology 334
Countries citing papers authored by Xue-Liang Du
This map shows the geographic impact of Xue-Liang Du'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 Xue-Liang Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue-Liang Du more than expected).
Fields of papers citing papers by Xue-Liang Du
This network shows the impact of papers produced by Xue-Liang Du. 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 Xue-Liang Du. The network helps show where Xue-Liang Du may publish in the future.
Co-authorship network of co-authors of Xue-Liang Du
This figure shows the co-authorship network connecting the top 25 collaborators of Xue-Liang Du. A scholar is included among the top collaborators of Xue-Liang Du 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 Xue-Liang Du. Xue-Liang Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 28 | |
| 3 | 361 | |
| 4 | Leptin Induces Mitochondrial Superoxide Production and Monocyte Chemoattractant Protein-1 Expression in Aortic Endothelial Cells by Increasing Fatty Acid Oxidation via Protein Kinase Abreakdown → | 513 |
| 5 | 183 | |
| 6 | Hyperglycemia-induced mitochondrial superoxide overproduction activates the hexosamine pathway and induces plasminogen activator inhibitor-1 expression by increasing Sp1 glycosylationbreakdown → | 861 |
About Xue-Liang Du
Xue-Liang Du is a scholar working on Clinical Biochemistry, Physiology and Endocrine and Autonomic Systems, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Advanced Glycation End Products research (2 papers) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Clinical Biochemistry (400 citations), Endocrine and Autonomic Systems (214 citations) and Endocrinology, Diabetes and Metabolism (384 citations). Xue-Liang Du has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Diane Edelstein, Michael Brownlee, Sho‐ichi Yamagishi, Jie Wu, Luciano Rossetti, I. George Fantus, Howard Goldberg, Fuad N. Ziyadeh, Manuel Guzmán and Michael Brownlee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Diabetes.
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.