Maria Mirotsou
- Molecular Biology top 5%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 1%
- Biomaterials top 2%
- Co-authors
- Victor J. DzauLunan ZhangTilanthi M. JayawardenaMassimiliano GnecchiConrad P. HodgkinsonRichard E. PrattJeffrey SchmeckpeperZhiping Zhang
- Topics
- Tissue Engineering and Regenerative Medicine (17 papers)Pluripotent Stem Cells Research (8 papers)Mesenchymal stem cell research (6 papers)
- Partner nations
- United StatesRussiaSingapore
In The Last Decade
Maria Mirotsou
33 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.1k
- Surgery 1.3k
- Cardiology and Cardiovascular Medicine 703
- Genetics 645
- Biomaterials 445
Countries citing papers authored by Maria Mirotsou
This map shows the geographic impact of Maria Mirotsou'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 Maria Mirotsou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Mirotsou more than expected).
Fields of papers citing papers by Maria Mirotsou
This network shows the impact of papers produced by Maria Mirotsou. 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 Maria Mirotsou. The network helps show where Maria Mirotsou may publish in the future.
Co-authorship network of co-authors of Maria Mirotsou
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Mirotsou. A scholar is included among the top collaborators of Maria Mirotsou 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 Maria Mirotsou. Maria Mirotsou 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 | 66 | |
| 3 | 31 | |
| 4 | 80 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 5 | |
| 8 | Classical Renin‐Angiotensin System in Kidney Physiologybreakdown → | 397 |
| 9 | 33 | |
| 10 | 33 | |
| 11 | 26 | |
| 12 | 46 | |
| 13 | 16 | |
| 14 | MicroRNA-Mediated In Vitro and In Vivo Direct Reprogramming of Cardiac Fibroblasts to Cardiomyocytesbreakdown → | 586 |
| 15 | 123 | |
| 16 | 364 | |
| 17 | 416 | |
| 18 | 61 | |
| 19 | 19 | |
| 20 | 328 |
About Maria Mirotsou
Maria Mirotsou is a scholar working on Aging, Genetics and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 3.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (17 papers), Pluripotent Stem Cells Research (8 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Genetics (645 citations), Biomaterials (445 citations) and Cardiology and Cardiovascular Medicine (703 citations). Maria Mirotsou has collaborated with scholars based in United States, Russia and Singapore. Frequent co-authors include Victor J. Dzau, Lunan Zhang, Tilanthi M. Jayawardena, Massimiliano Gnecchi, Conrad P. Hodgkinson, Richard E. Pratt, Jeffrey Schmeckpeper, Zhiping Zhang, Steven D. Crowley and Susan B. Gurley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Circulation Research.
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.