David Y. Cheng
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Physiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Philip J. KadowitzBracken J. DeWittCarl A. GruetterBobby D. NossamanWilliam A. MurphyT. McMahonChang J. FengDavid H. Coy
- Topics
- Nitric Oxide and Endothelin Effects (7 papers)Neuropeptides and Animal Physiology (5 papers)Renin-Angiotensin System Studies (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Partner nations
- United States
In The Last Decade
David Y. Cheng
18 papers receiving 369 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 162
- Cellular and Molecular Neuroscience 129
- Cardiology and Cardiovascular Medicine 92
- Physiology 92
- Endocrinology, Diabetes and Metabolism 82
Countries citing papers authored by David Y. Cheng
This map shows the geographic impact of David Y. Cheng'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 David Y. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Y. Cheng more than expected).
Fields of papers citing papers by David Y. Cheng
This network shows the impact of papers produced by David Y. Cheng. 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 David Y. Cheng. The network helps show where David Y. Cheng may publish in the future.
Co-authorship network of co-authors of David Y. Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of David Y. Cheng. A scholar is included among the top collaborators of David Y. Cheng 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 David Y. Cheng. David Y. Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The impact of major life events on the use of complementary and alternative medicine among individuals with chronic pain: a cross-sectional study. | 4 |
| 2 | 9 | |
| 3 | 32 | |
| 4 | 28 | |
| 5 | 17 | |
| 6 | 22 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 48 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 12 | |
| 14 | 26 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 15 | |
| 18 | 57 |
About David Y. Cheng
David Y. Cheng is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 18 papers that have together received 379 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Neuropeptides and Animal Physiology (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (129 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Endocrine and Autonomic Systems (32 citations). David Y. Cheng has collaborated with scholars based in United States. Frequent co-authors include Philip J. Kadowitz, Bracken J. DeWitt, Carl A. Gruetter, Bobby D. Nossaman, William A. Murphy, T. McMahon, Chang J. Feng, David H. Coy, Dinghua Lei and Jay K. Kolls. Their work appears in journals such as Circulation Research, Annals of the New York Academy of Sciences and Life Sciences.
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.