Mathilda T.M. Mommersteeg
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- Cardiovascular Function and Risk Factors 5
- Cardiac Valve Diseases and Treatments 3
- Cardiac Fibrosis and Remodeling 3
- Molecular Biology top 5%
- Congenital heart defects research 20
- Developmental Biology and Gene Regulation 3
- Genomics and Phylogenetic Studies 2
- Epidemiology top 10%
- Congenital Heart Disease Studies 6
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- Ichthyology and Marine Biology 2
- Co-authors
- Vincent M. ChristoffelsAntoon F.M. MoormanCorrie de Gier-de VriesRichard P. HarveyOwen W.J. PrallAndreas KispertNigel A. BrownCornelia Wiese
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Mathilda T.M. Mommersteeg
24 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 875
- Molecular Biology 1.4k
- Epidemiology 292
- Cellular and Molecular Neuroscience 142
- Developmental Neuroscience 29
Countries citing papers authored by Mathilda T.M. Mommersteeg
This map shows the geographic impact of Mathilda T.M. Mommersteeg'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 Mathilda T.M. Mommersteeg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilda T.M. Mommersteeg more than expected).
Fields of papers citing papers by Mathilda T.M. Mommersteeg
This network shows the impact of papers produced by Mathilda T.M. Mommersteeg. 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 Mathilda T.M. Mommersteeg. The network helps show where Mathilda T.M. Mommersteeg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathilda T.M. Mommersteeg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 48 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 79 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 34 | |
| 10 | 2015 | 51 | |
| 11 | 2014 | 41 | |
| 12 | 2012 | 27 | |
| 13 | 2010 | 123 | |
| 14 | 2010 | 102 | |
| 15 | 2010 | 39 | |
| 16 | 2009 | 33 | |
| 17 | 2008 | 228 | |
| 18 | 2008 | 151 | |
| 19 | 2007 | 263 | |
| 20 | 2006 | 52 |
About Mathilda T.M. Mommersteeg
Mathilda T.M. Mommersteeg is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Developmental Neuroscience, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Congenital heart defects research (20 papers), Congenital Heart Disease Studies (6 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac Valve Diseases and Treatments (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Developmental Biology and Gene Regulation (3 papers), Ichthyology and Marine Biology (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (875 citations), Molecular Biology (1.4k citations) and Epidemiology (292 citations). Mathilda T.M. Mommersteeg has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Vincent M. Christoffels, Antoon F.M. Moorman, Corrie de Gier-de Vries, Richard P. Harvey, Owen W.J. Prall, Andreas Kispert, Nigel A. Brown, Cornelia Wiese, Karin Schuster-Gossler and Vincent Wakker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.