Chun‐Yan Kong
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Oncology top 10%
- Cancer Research top 10%
- Physiology top 10%
- Co-authors
- Yu‐Pei YuanZhen‐Guo MaPeng SongXin ZhangSi‐Chi XuQizhu TangQi‐Zhu TangCan Hu
- Topics
- Cardiac Fibrosis and Remodeling (8 papers)Chemotherapy-induced cardiotoxicity and mitigation (6 papers)Cardiovascular Function and Risk Factors (5 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Chun‐Yan Kong
26 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 963
- Cardiology and Cardiovascular Medicine 735
- Oncology 283
- Cancer Research 276
- Physiology 241
Countries citing papers authored by Chun‐Yan Kong
This map shows the geographic impact of Chun‐Yan Kong'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‐Yan Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Yan Kong more than expected).
Fields of papers citing papers by Chun‐Yan Kong
This network shows the impact of papers produced by Chun‐Yan Kong. 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‐Yan Kong. The network helps show where Chun‐Yan Kong may publish in the future.
Co-authorship network of co-authors of Chun‐Yan Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yan Kong. A scholar is included among the top collaborators of Chun‐Yan Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Yan Kong. Chun‐Yan Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | Semaglutide ameliorates cardiac remodeling in male mice by optimizing energy substrate utilization through the Creb5/NR4a1 axisbreakdown → | 45 |
| 7 | 44 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | Underlying the Mechanisms of Doxorubicin-Induced Acute Cardiotoxicity: Oxidative Stress and Cell Deathbreakdown → | 226 |
| 11 | 69 | |
| 12 | 181 | |
| 13 | 42 | |
| 14 | 61 | |
| 15 | 114 | |
| 16 | FNDC5 alleviates oxidative stress and cardiomyocyte apoptosis in doxorubicin-induced cardiotoxicity via activating AKTbreakdown → | 359 |
| 17 | 48 | |
| 18 | 35 | |
| 19 | 120 | |
| 20 | 127 |
About Chun‐Yan Kong
Chun‐Yan Kong is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics and Geriatrics and Gerontology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (8 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (735 citations), Geriatrics and Gerontology (72 citations) and Cancer Research (276 citations). Chun‐Yan Kong has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yu‐Pei Yuan, Zhen‐Guo Ma, Peng Song, Xin Zhang, Si‐Chi Xu, Qizhu Tang, Qi‐Zhu Tang, Can Hu, Hai‐Ming Wu and Wei Deng. Their work appears in journals such as Nature Communications, Journal of Hazardous Materials and Free Radical Biology and Medicine.
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.