Guo‐Chang Fan
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Immunology top 2%
- Surgery top 5%
- Co-authors
- Xiaohong WangTianqing PengKobina EssandohEvangelia G. KraniasYigang WangHongyan ZhuYutian LiWei Huang
- Topics
- MicroRNA in disease regulation (22 papers)Heat shock proteins research (21 papers)Cardiac Ischemia and Reperfusion (17 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Guo‐Chang Fan
145 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 6.4k
- Cancer Research 2.7k
- Cardiology and Cardiovascular Medicine 2.6k
- Immunology 1.2k
- Surgery 1.1k
Countries citing papers authored by Guo‐Chang Fan
This map shows the geographic impact of Guo‐Chang Fan'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 Guo‐Chang Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Chang Fan more than expected).
Fields of papers citing papers by Guo‐Chang Fan
This network shows the impact of papers produced by Guo‐Chang Fan. 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 Guo‐Chang Fan. The network helps show where Guo‐Chang Fan may publish in the future.
Co-authorship network of co-authors of Guo‐Chang Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Chang Fan. A scholar is included among the top collaborators of Guo‐Chang Fan 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 Guo‐Chang Fan. Guo‐Chang Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 32 | |
| 10 | 47 | |
| 11 | 35 | |
| 12 | 19 | |
| 13 | 69 | |
| 14 | Abstract 10616: Mir-128 Targets E2f3 to Regulate Cardiomyocyte Cell Cycle Re-entry | 1 |
| 15 | 43 | |
| 16 | 125 | |
| 17 | Abstract 3026: MicroRNA Expression Profiling in the Ischemic Preconditioned Heart: Functional Role of a MiR-1/GATA-4/MiR-144, -451, and -762 Circuit | 1 |
| 18 | Complete Sequence Determination and Structure Analysis of Genome Segment S8 of Rice gall dwarf virus | 1 |
| 19 | 1 | |
| 20 | 14 |
About Guo‐Chang Fan
Guo‐Chang Fan is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 150 papers that have together received 9.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Heat shock proteins research (21 papers) and Cardiac Ischemia and Reperfusion (17 papers). The work is most often cited by research in Cancer Research (2.7k citations), Cardiology and Cardiovascular Medicine (2.6k citations) and Molecular Biology (6.4k citations). Guo‐Chang Fan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiaohong Wang, Tianqing Peng, Kobina Essandoh, Evangelia G. Kranias, Yigang Wang, Hongyan Zhu, Yutian Li, Wei Huang, Jiuzhou Huo and Qian Jiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.