Matthew T. Wheeler
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Immunology top 5%
- Genetics top 5%
- Cancer Research top 5%
- Co-authors
- Euan A. AshleyElizabeth M. McNallyCecile M. PickartSophia ChaiRizwan AhmadDavid L. BoonePaula J. HurleyEmre E. Turer
- Topics
- Cardiovascular Effects of Exercise (37 papers)Cardiomyopathy and Myosin Studies (36 papers)Cardiovascular Function and Risk Factors (25 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Matthew T. Wheeler
128 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Cardiology and Cardiovascular Medicine 1.7k
- Molecular Biology 1.7k
- Immunology 684
- Genetics 638
- Cancer Research 607
Countries citing papers authored by Matthew T. Wheeler
This map shows the geographic impact of Matthew T. Wheeler'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 Matthew T. Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Wheeler more than expected).
Fields of papers citing papers by Matthew T. Wheeler
This network shows the impact of papers produced by Matthew T. Wheeler. 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 Matthew T. Wheeler. The network helps show where Matthew T. Wheeler may publish in the future.
Co-authorship network of co-authors of Matthew T. Wheeler
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Wheeler. A scholar is included among the top collaborators of Matthew T. Wheeler 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 Matthew T. Wheeler. Matthew T. Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | Mavacamten Treatment for Symptomatic Obstructive Hypertrophic Cardiomyopathybreakdown → | 34 |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 17 | |
| 13 | 20 | |
| 14 | 34 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 71 | |
| 20 | 11 |
About Matthew T. Wheeler
Matthew T. Wheeler is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Genetics, having authored 137 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (37 papers), Cardiomyopathy and Myosin Studies (36 papers) and Cardiovascular Function and Risk Factors (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Cancer Research (607 citations) and Immunology (684 citations). Matthew T. Wheeler has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Euan A. Ashley, Elizabeth M. McNally, Cecile M. Pickart, Sophia Chai, Rizwan Ahmad, David L. Boone, Paula J. Hurley, Emre E. Turer, Marcia Chien and Averil Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.
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.