Matthew J. Brody
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 5%
- Surgery top 10%
- Cell Biology top 10%
- Co-authors
- Jeffery D. MolkentinDonald D. HeistadOnur KanisicakJason KarchBryan D. MalikenM. N. HartRobert N. CorrellHadi Khalil
- Topics
- Cardiac Fibrosis and Remodeling (9 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Cardiomyopathy and Myosin Studies (4 papers)
- Partner nations
- United StatesAustraliaPhilippines
In The Last Decade
Matthew J. Brody
48 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.0k
- Cardiology and Cardiovascular Medicine 979
- Physiology 398
- Surgery 396
- Cell Biology 194
Countries citing papers authored by Matthew J. Brody
This map shows the geographic impact of Matthew J. Brody'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 J. Brody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Brody more than expected).
Fields of papers citing papers by Matthew J. Brody
This network shows the impact of papers produced by Matthew J. Brody. 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 J. Brody. The network helps show where Matthew J. Brody may publish in the future.
Co-authorship network of co-authors of Matthew J. Brody
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Brody. A scholar is included among the top collaborators of Matthew J. Brody 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 J. Brody. Matthew J. Brody 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 37 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 109 | |
| 11 | 23 | |
| 12 | 42 | |
| 13 | Genetic lineage tracing defines myofibroblast origin and function in the injured heartbreakdown → | 640 |
| 14 | 22 | |
| 15 | 86 | |
| 16 | 27 | |
| 17 | 34 | |
| 18 | 24 | |
| 19 | Lesions of the rostral ventrolateral rvlm but not rostral ventromedial medulla rvmm attenuate 5 ht induced reflex tachycardia | 7 |
| 20 | 0 |
About Matthew J. Brody
Matthew J. Brody is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Endocrine and Autonomic Systems, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (9 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (979 citations), Physiology (398 citations) and Molecular Biology (1.0k citations). Matthew J. Brody has collaborated with scholars based in United States, Australia and Philippines. Frequent co-authors include Jeffery D. Molkentin, Donald D. Heistad, Onur Kanisicak, Jason Karch, Bryan D. Maliken, M. N. Hart, Robert N. Correll, Hadi Khalil, P. J. Kadowitz and Suh‐Chin J. Lin. Their work appears in journals such as JAMA, 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.