David Y. Barefield
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Cell Biology top 10%
- Physiology
- Immunology
- Co-authors
- Sakthivel SadayappanElizabeth M. McNallyAlexis R. DemonbreunMattia QuattrocelliMegan J. PuckelwartzKaitlin E. SwansonMohit KumarPieter P. de Tombe
- Topics
- Cardiomyopathy and Myosin Studies (23 papers)Cardiovascular Effects of Exercise (11 papers)Muscle Physiology and Disorders (10 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
David Y. Barefield
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 877
- Cardiology and Cardiovascular Medicine 811
- Cell Biology 133
- Physiology 114
- Immunology 95
Countries citing papers authored by David Y. Barefield
This map shows the geographic impact of David Y. Barefield'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. Barefield 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. Barefield more than expected).
Fields of papers citing papers by David Y. Barefield
This network shows the impact of papers produced by David Y. Barefield. 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. Barefield. The network helps show where David Y. Barefield may publish in the future.
Co-authorship network of co-authors of David Y. Barefield
This figure shows the co-authorship network connecting the top 25 collaborators of David Y. Barefield. A scholar is included among the top collaborators of David Y. Barefield 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. Barefield. David Y. Barefield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 12 | |
| 10 | 15 | |
| 11 | 20 | |
| 12 | 25 | |
| 13 | 52 | |
| 14 | 20 | |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 162 |
About David Y. Barefield
David Y. Barefield is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Neurology, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (23 papers), Cardiovascular Effects of Exercise (11 papers) and Muscle Physiology and Disorders (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (811 citations), Molecular Biology (877 citations) and Aging (19 citations). David Y. Barefield has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Sakthivel Sadayappan, Elizabeth M. McNally, Alexis R. Demonbreun, Mattia Quattrocelli, Megan J. Puckelwartz, Kaitlin E. Swanson, Mohit Kumar, Pieter P. de Tombe, Michele Hadhazy and Judy U. Earley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.