Xinli Qu
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Nephrology 11
- Chronic Kidney Disease and Diabetes 10
- Renal Diseases and Glomerulopathies 2
-
- Advanced Glycation End Products research 3
- Co-authors
- Jinhua LiJohn F. BertramGeorgina CaruanaYu SunDavid J. Nikolic‐PatersonSharon D. RicardoJun YaoXueming Zhang
- Journals
- Kidney International (3 papers)American Journal Of Pathology (3 papers)PLoS ONE (3 papers)Differentiation (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Xinli Qu
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Nephrology 518
- Geriatrics and Gerontology 84
- Biochemistry 73
- Clinical Biochemistry 63
- Molecular Biology 587
Countries citing papers authored by Xinli Qu
This map shows the geographic impact of Xinli Qu'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 Xinli Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinli Qu more than expected).
Fields of papers citing papers by Xinli Qu
This network shows the impact of papers produced by Xinli Qu. 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 Xinli Qu. The network helps show where Xinli Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinli Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 10 | |
| 5 | 2019 | 26 | |
| 6 | The origin of renal fibroblasts/myofibroblasts and the signals that trigger fibrosis Hit paper breakdown → | 2016 | 286 |
| 7 | 2015 | 44 | |
| 8 | 2015 | 17 | |
| 9 | 2014 | 30 | |
| 10 | 2013 | 32 | |
| 11 | 2013 | 94 | |
| 12 | 2013 | 27 | |
| 13 | 2012 | 87 | |
| 14 | 2010 | 184 | |
| 15 | 2010 | 222 | |
| 16 | 2009 | 270 |
About Xinli Qu
Xinli Qu is a scholar working on Nephrology, Clinical Biochemistry, Developmental Neuroscience, Biochemistry and Pharmacology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Renal and related cancers (4 papers), TGF-β signaling in diseases (3 papers), Advanced Glycation End Products research (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Apelin-related biomedical research (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Macrophage Migration Inhibitory Factor (1 paper). The work is most often cited by research in Nephrology (518 citations), Geriatrics and Gerontology (84 citations), Biochemistry (73 citations), Clinical Biochemistry (63 citations) and Molecular Biology (587 citations). Xinli Qu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jinhua Li, John F. Bertram, Georgina Caruana, Yu Sun, David J. Nikolic‐Paterson, Sharon D. Ricardo, Jun Yao, Xueming Zhang, Yasuhiko Yamamoto and Hiroshi Yamamoto. Their work appears in journals such as Kidney International, American Journal Of Pathology, PLoS ONE, Differentiation and Frontiers in Cell and Developmental Biology.
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.