Zhong‐Dong Shi
- Aging top 5%
- Cell Biology top 5%
- Cellular Mechanics and Interactions 4
- Proteoglycans and glycosaminoglycans research 4
- Hippo pathway signaling and YAP/TAZ 3
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 9
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 6
- Neurology top 10%
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- Cell Adhesion Molecules Research 4
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 3
- Co-authors
- John M. TarbellDanwei HuangfuHenry QaziZeng‐Rong ZhuNipun VermaFederico GonzãlezXin‐Ying JiQing V. Li
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (3 papers)PLoS ONE (3 papers)Biotechnology and Bioengineering (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Zhong‐Dong Shi
23 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Aging 63
- Cell Biology 337
- Business and International Management 34
- Molecular Biology 985
- Neurology 114
Countries citing papers authored by Zhong‐Dong Shi
This map shows the geographic impact of Zhong‐Dong Shi'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 Zhong‐Dong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong‐Dong Shi more than expected).
Fields of papers citing papers by Zhong‐Dong Shi
This network shows the impact of papers produced by Zhong‐Dong Shi. 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 Zhong‐Dong Shi. The network helps show where Zhong‐Dong Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhong‐Dong Shi, 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 | 2025 | 0 | |
| 2 | 2020 | 37 | |
| 3 | 2017 | 3 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 123 | |
| 6 | 2014 | 352 | |
| 7 | 2013 | 75 | |
| 8 | 2013 | 62 | |
| 9 | 2012 | 74 | |
| 10 | 2012 | 121 | |
| 11 | 2012 | 1 | |
| 12 | 2011 | 87 | |
| 13 | 2011 | 69 | |
| 14 | 2011 | 48 | |
| 15 | 2011 | 180 | |
| 16 | 2010 | 62 | |
| 17 | 2010 | 192 | |
| 18 | 2009 | 77 | |
| 19 | 2007 | 33 | |
| 20 | 2003 | 12 |
About Zhong‐Dong Shi
Zhong‐Dong Shi is a scholar working on Aging, Cell Biology and Immunology and Allergy, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers), Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Aging (63 citations), Cell Biology (337 citations) and Business and International Management (34 citations). Zhong‐Dong Shi has collaborated with scholars based in United States and China. Frequent co-authors include John M. Tarbell, Danwei Huangfu, Henry Qazi, Zeng‐Rong Zhu, Nipun Verma, Federico Gonzãlez, Xin‐Ying Ji, Qing V. Li, Katherine M. Lelli and Limary M. Cancel. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, PLoS ONE, Biotechnology and Bioengineering, Journal of Visualized Experiments and Annals of Biomedical Engineering.
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.