Chun Gui
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
-
- Cardiac Fibrosis and Remodeling
- Heart Failure Treatment and Management
Papers in
-
- Cardiomyopathy and Myosin Studies 5
- Cardiac Fibrosis and Remodeling 5
- Atrial Fibrillation Management and Outcomes 4
- Heart Failure Treatment and Management 4
- Genetics 9
- Mesenchymal stem cell research 9
- Co-authors
- Jian-An Wang (7 shared papers)Meixiang Xiang (3 shared papers)Aina He (6 shared papers)Jun Jiang (5 shared papers)Lang Li (10 shared papers)Zhiyu Zeng (8 shared papers)Xinyang Hu (3 shared papers)Heng Shi (2 shared papers)
- Journals
- Scientific Reports (8 papers)Cardiovascular Pathology (2 papers)Acta Pharmacologica Sinica (2 papers)Journal of Zhejiang University SCIENCE B (2 papers)BMC Cardiovascular Disorders (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Chun Gui
55 papers receiving 777 citations
Peers
Comparison fields: 5 of 64
- Genetics 276
- Cardiology and Cardiovascular Medicine 146
- Developmental Neuroscience 8
- Nephrology 23
- Molecular Biology 146
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 126 | |
| 2 | 2009 | 62 | |
| 3 | 2008 | 60 | |
| 4 | 2009 | 50 | |
| 5 | 2015 | 43 | |
| 6 | 2012 | 42 | |
| 7 | 2008 | 35 | |
| 8 | 2008 | 32 | |
| 9 | 2018 | 31 | |
| 10 | 2013 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2018 | 17 | |
| 13 | 2007 | 16 | |
| 14 | 2012 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2008 | 15 | |
| 17 | 2016 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2023 | 11 |
About Chun Gui
Chun Gui is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Nephrology, Oncology and Molecular Biology, having authored 59 papers that have together received 799 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Acute Kidney Injury Research (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Heart Failure Treatment and Management (4 papers). The work is most often cited by research in Genetics (276 citations), Cardiology and Cardiovascular Medicine (146 citations), Developmental Neuroscience (8 citations), Nephrology (23 citations) and Molecular Biology (146 citations). Chun Gui has collaborated with scholars based in China and United States. Frequent co-authors include Jian-An Wang, Meixiang Xiang, Aina He, Jun Jiang, Lang Li, Zhiyu Zeng, Xinyang Hu, Heng Shi, Rong‐Hua Luo and Yong Sun. Their work appears in journals such as Scientific Reports, Cardiovascular Pathology, Acta Pharmacologica Sinica, Journal of Zhejiang University SCIENCE B and BMC Cardiovascular Disorders.
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.