Ching‐Pin Chang
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Genetics
- Co-authors
- Michael L. ClearyCorey LargmanLuciano BrocchieriShih-Chu KaoRobert H. CrabtreeJianming XieIsabella A. GraefHaiyan Wu
- Topics
- Congenital heart defects research (6 papers)Signaling Pathways in Disease (4 papers)Cancer-related gene regulation (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ching‐Pin Chang
24 papers receiving 864 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 593
- Cardiology and Cardiovascular Medicine 162
- Cellular and Molecular Neuroscience 131
- Surgery 100
- Genetics 98
Countries citing papers authored by Ching‐Pin Chang
This map shows the geographic impact of Ching‐Pin Chang'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 Ching‐Pin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Pin Chang more than expected).
Fields of papers citing papers by Ching‐Pin Chang
This network shows the impact of papers produced by Ching‐Pin Chang. 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 Ching‐Pin Chang. The network helps show where Ching‐Pin Chang may publish in the future.
Co-authorship network of co-authors of Ching‐Pin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Pin Chang. A scholar is included among the top collaborators of Ching‐Pin Chang 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 Ching‐Pin Chang. Ching‐Pin Chang 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 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | REST regulates the cell cycle for cardiac development and regeneration | 2 |
| 7 | Pathological Ace2-to-Ace enzyme switch in the stressed heart is transcriptionally controlled by the endothelial Brg1–FoxM1 complex | 1 |
| 8 | Increased COUP-TFII expression in adult hearts induces mitochondrial dysfunction resulting in heart failure | 1 |
| 9 | A long non-coding RNA protects the heart from pathological hypertrophy | 1 |
| 10 | Epicardial calcineurin-NFAT signals through Smad2 to direct coronary smooth muscle cell and arterial wall development | 1 |
| 11 | 98 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 28 | |
| 15 | 171 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 52 | |
| 19 | 50 | |
| 20 | 52 |
About Ching‐Pin Chang
Ching‐Pin Chang is a scholar working on Nephrology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 874 indexed citations. Recurring topics across this work include Congenital heart defects research (6 papers), Signaling Pathways in Disease (4 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Developmental Neuroscience (53 citations), Molecular Biology (593 citations) and Critical Care and Intensive Care Medicine (44 citations). Ching‐Pin Chang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael L. Cleary, Corey Largman, Luciano Brocchieri, Shih-Chu Kao, Robert H. Crabtree, Jianming Xie, Isabella A. Graef, Haiyan Wu, Jeffrey A. Ranish and Hanying Chen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.