Laura Mercer‐Rosa
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Elizabeth GoldmuntzWei YangMark A. FogelJack RychikSteven M. KawutRonn E. TanelMichael L. O’ByrneMichael P. DiLorenzo
- Topics
- Congenital Heart Disease Studies (59 papers)Pulmonary Hypertension Research and Treatments (25 papers)Cardiovascular Function and Risk Factors (16 papers)
- Journals
- CirculationJournal of the American College of CardiologyAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Laura Mercer‐Rosa
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 74
- Epidemiology 953
- Pulmonary and Respiratory Medicine 802
- Cardiology and Cardiovascular Medicine 601
- Surgery 515
- Molecular Biology 142
Countries citing papers authored by Laura Mercer‐Rosa
This map shows the geographic impact of Laura Mercer‐Rosa'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 Laura Mercer‐Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Mercer‐Rosa more than expected).
Fields of papers citing papers by Laura Mercer‐Rosa
This network shows the impact of papers produced by Laura Mercer‐Rosa. 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 Laura Mercer‐Rosa. The network helps show where Laura Mercer‐Rosa may publish in the future.
Co-authorship network of co-authors of Laura Mercer‐Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Mercer‐Rosa. A scholar is included among the top collaborators of Laura Mercer‐Rosa 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 Laura Mercer‐Rosa. Laura Mercer‐Rosa 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 | 2 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 91 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 40 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 26 | |
| 15 | Abstract 18082: Poor Fontan Geometry, Hemodynamics, and Computational Fluid Dynamics Are Associated With Worse Quality of Life | 2 |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 35 | |
| 19 | 61 | |
| 20 | 3 |
About Laura Mercer‐Rosa
Laura Mercer‐Rosa is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (59 papers), Pulmonary Hypertension Research and Treatments (25 papers) and Cardiovascular Function and Risk Factors (16 papers). The work is most often cited by research in Epidemiology (953 citations), Cardiology and Cardiovascular Medicine (601 citations) and Pulmonary and Respiratory Medicine (802 citations). Laura Mercer‐Rosa has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Elizabeth Goldmuntz, Wei Yang, Mark A. Fogel, Jack Rychik, Steven M. Kawut, Ronn E. Tanel, Michael L. O’Byrne, Michael P. DiLorenzo, Jennifer Faerber and Shelby Kutty. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and American Journal of Respiratory and Critical Care Medicine.
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.