Stephen Y. Chan
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 5%
- Co-authors
- Joseph LoscalzoYingyi ZhangAndrew HaleChristopher E. MahoneyAaron L. BaggishCraig HemannJay L. ZweíerMiranda K. Culley
- Topics
- Pulmonary Hypertension Research and Treatments (60 papers)MicroRNA in disease regulation (35 papers)Circular RNAs in diseases (16 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Stephen Y. Chan
129 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 3.2k
- Cancer Research 2.5k
- Pulmonary and Respiratory Medicine 2.1k
- Cardiology and Cardiovascular Medicine 1.3k
- Physiology 544
Countries citing papers authored by Stephen Y. Chan
This map shows the geographic impact of Stephen Y. Chan'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 Stephen Y. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Y. Chan more than expected).
Fields of papers citing papers by Stephen Y. Chan
This network shows the impact of papers produced by Stephen Y. Chan. 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 Stephen Y. Chan. The network helps show where Stephen Y. Chan may publish in the future.
Co-authorship network of co-authors of Stephen Y. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Y. Chan. A scholar is included among the top collaborators of Stephen Y. Chan 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 Stephen Y. Chan. Stephen Y. Chan 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 | 3 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 67 | |
| 11 | 32 | |
| 12 | 5 | |
| 13 | 119 | |
| 14 | 9 | |
| 15 | 57 | |
| 16 | 79 | |
| 17 | 22 | |
| 18 | 149 | |
| 19 | Abstract 10354: Dynamic Regulation of Circulating MicroRNA During Acute Exhaustive Exercise and Sustained Aerobic Exercise Training | 1 |
| 20 | 1 |
About Stephen Y. Chan
Stephen Y. Chan is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 132 papers that have together received 7.0k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (60 papers), MicroRNA in disease regulation (35 papers) and Circular RNAs in diseases (16 papers). The work is most often cited by research in Cancer Research (2.5k citations), Pulmonary and Respiratory Medicine (2.1k citations) and Cardiology and Cardiovascular Medicine (1.3k citations). Stephen Y. Chan has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Joseph Loscalzo, Yingyi Zhang, Andrew Hale, Christopher E. Mahoney, Aaron L. Baggish, Craig Hemann, Jay L. Zweíer, Miranda K. Culley, Shriram Nallamshetty and Katherine A. Cottrill. Their work appears in journals such as Cell, 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.