Zhonghua Qi
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes 10
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 8
- Pharmacology top 1%
- Inflammatory mediators and NSAID effects 9
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- Hormonal Regulation and Hypertension 6
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research 6
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- Renin-Angiotensin System Studies 9
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- Receptor Mechanisms and Signaling 6
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- Pancreatic function and diabetes 6
- Co-authors
- Matthew D. BreyerChuan‐Ming HaoReyadh RedhaJason D. MorrowAgnes B. FogoRaymond C. HarrisJianping JinRichard Breyer
- Cited by
- NephrologyBiochemistryPharmacology
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (6 papers)Diabetes (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhonghua Qi
43 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Nephrology 478
- Biochemistry 455
- Pharmacology 584
- Endocrinology, Diabetes and Metabolism 490
- Clinical Biochemistry 157
Countries citing papers authored by Zhonghua Qi
This map shows the geographic impact of Zhonghua Qi'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 Zhonghua Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghua Qi more than expected).
Fields of papers citing papers by Zhonghua Qi
This network shows the impact of papers produced by Zhonghua Qi. 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 Zhonghua Qi. The network helps show where Zhonghua Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhonghua Qi, 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 | 11 | |
| 2 | 2023 | 17 | |
| 3 | 2016 | 12 | |
| 4 | 2016 | 3 | |
| 5 | 2015 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2015 | 33 | |
| 8 | Correlation analysis between single nucleotide polymorphisms of fibroblast growth factor 20 (FGF20) gene and Parkinson disease | 2014 | 2 |
| 9 | 2014 | 60 | |
| 10 | 2008 | 21 | |
| 11 | 2007 | 89 | |
| 12 | 2007 | 6 | |
| 13 | 2006 | 9 | |
| 14 | 2006 | 40 | |
| 15 | 2005 | 12 | |
| 16 | 2005 | 29 | |
| 17 | 2004 | 290 | |
| 18 | 2002 | 13 | |
| 19 | 2002 | 176 | |
| 20 | 2002 | 216 |
About Zhonghua Qi
Zhonghua Qi is a scholar working on Nephrology, Biochemistry and Clinical Biochemistry, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Inflammatory mediators and NSAID effects (9 papers), Renin-Angiotensin System Studies (9 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Hormonal Regulation and Hypertension (6 papers), Receptor Mechanisms and Signaling (6 papers), Advanced Glycation End Products research (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Nephrology (478 citations), Biochemistry (455 citations) and Pharmacology (584 citations). Zhonghua Qi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Matthew D. Breyer, Chuan‐Ming Hao, Reyadh Redha, Jason D. Morrow, Agnes B. Fogo, Raymond C. Harris, Jianping Jin, Richard Breyer, Robert Langenbach and Hiroki Fujita. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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.