Chun Gui
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
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- MicroRNA in disease regulation
Papers in
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- Angiogenesis and VEGF in Cancer 8
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- Cardiac Fibrosis and Remodeling 3
- Co-authors
- Jianan Wang (6 shared papers)Meixiang Xiang (3 shared papers)Aina He (5 shared papers)Jun Jiang (4 shared papers)Zhiyu Zeng (7 shared papers)Rong‐Hua Luo (3 shared papers)Heng Shi (2 shared papers)Xinyang Hu (2 shared papers)
- Journals
- Scientific Reports (6 papers)BMC Cardiovascular Disorders (2 papers)Medicine (2 papers)Acta Pharmacologica Sinica (2 papers)Journal of Zhejiang University SCIENCE B (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chun Gui
55 papers receiving 810 citations
Peers
Comparison fields: 5 of 110
- Genetics 187
- Cancer Research 88
- Cardiology and Cardiovascular Medicine 109
- Biomaterials 58
- Molecular Biology 282
Countries citing papers authored by Chun Gui
This map shows the geographic impact of Chun Gui'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 Chun Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Gui more than expected).
Fields of papers citing papers by Chun Gui
This network shows the impact of papers produced by Chun Gui. 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 Chun Gui. The network helps show where Chun Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Gui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 120 | |
| 2 | 2017 | 70 | |
| 3 | 2009 | 56 | |
| 4 | 2008 | 55 | |
| 5 | 2009 | 47 | |
| 6 | 2015 | 42 | |
| 7 | 2012 | 39 | |
| 8 | 2008 | 31 | |
| 9 | 2018 | 30 | |
| 10 | 2013 | 22 | |
| 11 | 2008 | 22 | |
| 12 | 2020 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2007 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2008 | 13 | |
| 20 | 2016 | 12 |
About Chun Gui
Chun Gui is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Genetics and Immunology, having authored 57 papers that have together received 822 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Mesenchymal stem cell research (6 papers), Chronic Kidney Disease and Diabetes (4 papers), HER2/EGFR in Cancer Research (4 papers), Acute Kidney Injury Research (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Genetics (187 citations), Cancer Research (88 citations), Cardiology and Cardiovascular Medicine (109 citations), Biomaterials (58 citations) and Molecular Biology (282 citations). Chun Gui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianan Wang, Meixiang Xiang, Aina He, Jun Jiang, Zhiyu Zeng, Rong‐Hua Luo, Heng Shi, Xinyang Hu, Xing Zhang and Lang Li. Their work appears in journals such as Scientific Reports, BMC Cardiovascular Disorders, Medicine, Acta Pharmacologica Sinica and Journal of Zhejiang University SCIENCE B.
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.