Brian S. Ferguson
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Complementary and alternative medicine top 5%
- Biomedical Engineering
- Co-authors
- L. Bruce GladdenMatthew J. RogatzkiMatthew L. GoodwinDaniel A. KaneT. Dylan OlverM. Harold LaughlinAdriana S. PattersonKevin W. Plaxco
- Topics
- Cardiovascular and exercise physiology (8 papers)Muscle metabolism and nutrition (4 papers)Adipose Tissue and Metabolism (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Brian S. Ferguson
21 papers receiving 578 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 199
- Cardiology and Cardiovascular Medicine 142
- Physiology 133
- Complementary and alternative medicine 113
- Biomedical Engineering 78
Countries citing papers authored by Brian S. Ferguson
This map shows the geographic impact of Brian S. Ferguson'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 Brian S. Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian S. Ferguson more than expected).
Fields of papers citing papers by Brian S. Ferguson
This network shows the impact of papers produced by Brian S. Ferguson. 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 Brian S. Ferguson. The network helps show where Brian S. Ferguson may publish in the future.
Co-authorship network of co-authors of Brian S. Ferguson
This figure shows the co-authorship network connecting the top 25 collaborators of Brian S. Ferguson. A scholar is included among the top collaborators of Brian S. Ferguson 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 Brian S. Ferguson. Brian S. Ferguson 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 | 4 | |
| 3 | Abstract 14585: Chronic Treatment With a Mavacamten-Like Myosin-Modulator (MYK-581) Blunts Disease Progression in a Mini-Pig Genetic Model of Non-Obstructed Hypertrophic Cardiomyopathy: In Vivo Evidence for Improved Relaxation and Functional Reserve | 2 |
| 4 | 309 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 22 | |
| 13 | 47 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 1 | |
| 18 | 61 | |
| 19 | 1 | |
| 20 | Continuous magnetophoretic enrichment of rare tumor cells | 1 |
About Brian S. Ferguson
Brian S. Ferguson is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 21 papers that have together received 592 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (8 papers), Muscle metabolism and nutrition (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Complementary and alternative medicine (113 citations), Orthopedics and Sports Medicine (73 citations) and Rehabilitation (44 citations). Brian S. Ferguson has collaborated with scholars based in United States, Canada and China. Frequent co-authors include L. Bruce Gladden, Matthew J. Rogatzki, Matthew L. Goodwin, Daniel A. Kane, T. Dylan Olver, M. Harold Laughlin, Adriana S. Patterson, Kevin W. Plaxco, H. Tom Soh and Kuangwen Hsieh. Their work appears in journals such as Circulation, The Journal of Physiology and Journal of Applied Physiology.
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.