Jun Xie
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
-
- Cardiac Fibrosis and Remodeling
- Cardiac electrophysiology and arrhythmias
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Circular RNAs in diseases 8
-
- Cardiac Fibrosis and Remodeling 16
- Co-authors
- Biao Xu (39 shared papers)Jinxuan Zhao (9 shared papers)Ling Yue (1 shared paper)Stanley Nattel (1 shared paper)Qing Guo (12 shared papers)Jiaxin Hu (11 shared papers)Xuan Sun (7 shared papers)Xueling Li (5 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of Cellular and Molecular Medicine (6 papers)Medicine (5 papers)Brain Research (4 papers)Advanced Healthcare Materials (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Xie
153 papers receiving 3.8k citations
Jun Xie's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 583
- Cardiology and Cardiovascular Medicine 790
- Molecular Biology 1.6k
- Genetics 215
- Immunology 349
Countries citing papers authored by Jun Xie
This map shows the geographic impact of Jun Xie'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 Jun Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xie more than expected).
Fields of papers citing papers by Jun Xie
This network shows the impact of papers produced by Jun Xie. 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 Jun Xie. The network helps show where Jun Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xie, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mesenchymal stromal cell-derived exosomes attenuate myocardial ischaemia-reperfusion injury through miR-182-regulated macrophage polarization Hit paper breakdown → | 2019 | 604 |
| 2 | 2010 | 276 | |
| 3 | 2015 | 188 | |
| 4 | 2016 | 108 | |
| 5 | 2023 | 82 | |
| 6 | 2011 | 78 | |
| 7 | 2014 | 74 | |
| 8 | 2007 | 65 | |
| 9 | 2008 | 64 | |
| 10 | 2021 | 63 | |
| 11 | 2019 | 62 | |
| 12 | 2022 | 61 | |
| 13 | 2015 | 49 | |
| 14 | 2006 | 48 | |
| 15 | 2016 | 45 | |
| 16 | 2014 | 43 | |
| 17 | 2016 | 43 | |
| 18 | 2017 | 43 | |
| 19 | 2020 | 43 | |
| 20 | 2004 | 41 |
About Jun Xie
Jun Xie is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cancer Research and Immunology, having authored 155 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (16 papers), MicroRNA in disease regulation (11 papers), Mesenchymal stem cell research (10 papers), Coronary Interventions and Diagnostics (10 papers), Tissue Engineering and Regenerative Medicine (10 papers), Alzheimer's disease research and treatments (10 papers), Angiogenesis and VEGF in Cancer (9 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (583 citations), Cardiology and Cardiovascular Medicine (790 citations), Molecular Biology (1.6k citations), Genetics (215 citations) and Immunology (349 citations). Jun Xie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Biao Xu, Jinxuan Zhao, Ling Yue, Stanley Nattel, Qing Guo, Jiaxin Hu, Xuan Sun, Xueling Li, Fu Chen and Shuaihua Qiao. Their work appears in journals such as PLoS ONE, Journal of Cellular and Molecular Medicine, Medicine, Brain Research and Advanced Healthcare Materials.
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.