Ting C. Zhao
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes 3
- Physiology top 5%
- Adipose Tissue and Metabolism 8
- Chemical Health and Safety top 10%
- Physiology top 10%
- Adipose Tissue and Metabolism 8
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 7
- Signaling Pathways in Disease 4
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- Cardiac Ischemia and Reperfusion 10
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- Cardiac Fibrosis and Remodeling 6
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- Tissue Engineering and Regenerative Medicine 5
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- Renal and Vascular Pathologies 3
- Co-authors
- Shougang ZhuangGeorge BaylissRakesh C. KukrejaEvelyn TolbertGangjian QinXiaoxu ZhouJianfeng DuYu Zhao
- Journals
- PLoS ONE (5 papers)The FASEB Journal (4 papers)American Journal of Physiology-Cell Physiology (4 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Ting C. Zhao
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Nephrology 213
- Physiology 102
- Chemical Health and Safety 11
- Physiology 313
- Molecular Biology 806
Countries citing papers authored by Ting C. Zhao
This map shows the geographic impact of Ting C. Zhao'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 Ting C. Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting C. Zhao more than expected).
Fields of papers citing papers by Ting C. Zhao
This network shows the impact of papers produced by Ting C. Zhao. 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 Ting C. Zhao. The network helps show where Ting C. Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting C. Zhao, 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 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2019 | 8 | |
| 6 | 2017 | 116 | |
| 7 | 2017 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2016 | 36 | |
| 10 | 2016 | 52 | |
| 11 | 2014 | 11 | |
| 12 | 2014 | 27 | |
| 13 | 2013 | 18 | |
| 14 | 2013 | 28 | |
| 15 | 2013 | 20 | |
| 16 | 2013 | 43 | |
| 17 | 2013 | 40 | |
| 18 | 2010 | 17 | |
| 19 | 2008 | 23 | |
| 20 | 2008 | 15 |
About Ting C. Zhao
Ting C. Zhao is a scholar working on Pathology and Forensic Medicine, Nephrology and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (10 papers), Adipose Tissue and Metabolism (8 papers), Mitochondrial Function and Pathology (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Signaling Pathways in Disease (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Renal and Vascular Pathologies (3 papers). The work is most often cited by research in Nephrology (213 citations), Physiology (102 citations) and Chemical Health and Safety (11 citations). Ting C. Zhao has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Shougang Zhuang, George Bayliss, Rakesh C. Kukreja, Evelyn Tolbert, Gangjian Qin, Xiaoxu Zhou, Jianfeng Du, Yu Zhao, Naohiro Yano and Murugavel Ponnusamy. Their work appears in journals such as PLoS ONE, The FASEB Journal, American Journal of Physiology-Cell Physiology, Journal of Molecular and Cellular Cardiology and Journal of Cellular Physiology.
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.