Matthew Kiedrowski
- Surgery top 5%
- Genetics top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Biomaterials top 5%
- Co-authors
- Marc S. PennZoran PopovićArman T. AskariFarhad ForudiSamuel UnzekJames D. ThomasAleksandr RovnerPaul E. DiCorleto
- Topics
- Mesenchymal stem cell research (9 papers)Tissue Engineering and Regenerative Medicine (7 papers)Cardiac Fibrosis and Remodeling (6 papers)
- Cited by
- GeneticsBiomaterialsUrology
- Journals
- The LancetCirculationPLoS ONE
- Partner nations
- United StatesIndiaChina
In The Last Decade
Matthew Kiedrowski
18 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Surgery 932
- Genetics 783
- Molecular Biology 767
- Cardiology and Cardiovascular Medicine 351
- Biomaterials 332
Countries citing papers authored by Matthew Kiedrowski
This map shows the geographic impact of Matthew Kiedrowski'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 Kiedrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Kiedrowski more than expected).
Fields of papers citing papers by Matthew Kiedrowski
This network shows the impact of papers produced by Matthew Kiedrowski. 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 Kiedrowski. The network helps show where Matthew Kiedrowski may publish in the future.
Co-authorship network of co-authors of Matthew Kiedrowski
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Kiedrowski. A scholar is included among the top collaborators of Matthew Kiedrowski 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 Kiedrowski. Matthew Kiedrowski 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 | 4 | |
| 3 | 38 | |
| 4 | 13 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 59 | |
| 8 | 75 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | Serial IV infusions of stem cells cause sustained anal pressure improvement after anal sphincter injury. | 1 |
| 13 | 77 | |
| 14 | 49 | |
| 15 | 48 | |
| 16 | 364 | |
| 17 | 46 | |
| 18 | 98 | |
| 19 | Effect of stromal-cell-derived factor 1 on stem-cell homing and tissue regeneration in ischaemic cardiomyopathybreakdown → | 1003 |
About Matthew Kiedrowski
Matthew Kiedrowski is a scholar working on Genetics, Urology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Cardiac Fibrosis and Remodeling (6 papers). The work is most often cited by research in Genetics (783 citations), Biomaterials (332 citations) and Urology (157 citations). Matthew Kiedrowski has collaborated with scholars based in United States, India and China. Frequent co-authors include Marc S. Penn, Zoran Popović, Arman T. Askari, Farhad Forudi, Samuel Unzek, James D. Thomas, Aleksandr Rovner, Paul E. DiCorleto, Eric J. Topol and Stephen G. Ellis. Their work appears in journals such as The Lancet, Circulation and PLoS ONE.
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.