Gregory M. Fomovsky
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Biomaterials top 5%
- Molecular Biology
- Co-authors
- Jeffrey W. HolmesStavros ThomopoulosAndrew D. RouillardGorav AilawadiCaitlin C. O’MearaRichard LeeJesse MacadangdangGeorge Niedt
- Topics
- Elasticity and Material Modeling (5 papers)Tissue Engineering and Regenerative Medicine (3 papers)Cardiovascular Function and Risk Factors (3 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculation ResearchAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Gregory M. Fomovsky
14 papers receiving 961 citations
Peers
Comparison fields: 5 of 85
- Surgery 484
- Cardiology and Cardiovascular Medicine 361
- Biomedical Engineering 332
- Biomaterials 237
- Molecular Biology 236
Countries citing papers authored by Gregory M. Fomovsky
This map shows the geographic impact of Gregory M. Fomovsky'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 Gregory M. Fomovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Fomovsky more than expected).
Fields of papers citing papers by Gregory M. Fomovsky
This network shows the impact of papers produced by Gregory M. Fomovsky. 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 Gregory M. Fomovsky. The network helps show where Gregory M. Fomovsky may publish in the future.
Co-authorship network of co-authors of Gregory M. Fomovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M. Fomovsky. A scholar is included among the top collaborators of Gregory M. Fomovsky 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 Gregory M. Fomovsky. Gregory M. Fomovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 39 | |
| 5 | 119 | |
| 6 | 94 | |
| 7 | 46 | |
| 8 | 60 | |
| 9 | 1 | |
| 10 | 184 | |
| 11 | 175 | |
| 12 | 92 | |
| 13 | 45 | |
| 14 | 100 |
About Gregory M. Fomovsky
Gregory M. Fomovsky is a scholar working on Cardiology and Cardiovascular Medicine, Biomaterials and Biophysics, having authored 14 papers that have together received 983 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (5 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Biomaterials (237 citations), Cardiology and Cardiovascular Medicine (361 citations) and Surgery (484 citations). Gregory M. Fomovsky has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Jeffrey W. Holmes, Stavros Thomopoulos, Andrew D. Rouillard, Gorav Ailawadi, Caitlin C. O’Meara, Richard Lee, Jesse Macadangdang, George Niedt, June K. Wu and Anna Marsano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and American Journal of Physiology-Heart and Circulatory 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.