Ilka Lorenzen‐Schmidt
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Health, Toxicology and Mutagenesis
- Cell Biology
- Co-authors
- W. Glen PyleMelissa FergusonJeffrey H. OmensAndrew D. McCullochBenoît‐Gilles KerfantDongling ZhaoLindsay S. WilsonShitian Cai
- Topics
- Cardiomyopathy and Myosin Studies (4 papers)Cardiovascular Function and Risk Factors (3 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Journals
- Circulation ResearchScientific ReportsAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Ilka Lorenzen‐Schmidt
16 papers receiving 329 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 167
- Cardiology and Cardiovascular Medicine 167
- Physiology 42
- Health, Toxicology and Mutagenesis 35
- Cell Biology 30
Countries citing papers authored by Ilka Lorenzen‐Schmidt
This map shows the geographic impact of Ilka Lorenzen‐Schmidt'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 Ilka Lorenzen‐Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilka Lorenzen‐Schmidt more than expected).
Fields of papers citing papers by Ilka Lorenzen‐Schmidt
This network shows the impact of papers produced by Ilka Lorenzen‐Schmidt. 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 Ilka Lorenzen‐Schmidt. The network helps show where Ilka Lorenzen‐Schmidt may publish in the future.
Co-authorship network of co-authors of Ilka Lorenzen‐Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Ilka Lorenzen‐Schmidt. A scholar is included among the top collaborators of Ilka Lorenzen‐Schmidt 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 Ilka Lorenzen‐Schmidt. Ilka Lorenzen‐Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 38 | |
| 6 | 20 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 23 | |
| 12 | 83 | |
| 13 | 26 | |
| 14 | 17 | |
| 15 | 29 | |
| 16 | 16 |
About Ilka Lorenzen‐Schmidt
Ilka Lorenzen‐Schmidt is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 16 papers that have together received 334 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (167 citations), Health, Toxicology and Mutagenesis (35 citations) and Molecular Biology (167 citations). Ilka Lorenzen‐Schmidt has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include W. Glen Pyle, Melissa Ferguson, Jeffrey H. Omens, Andrew D. McCulloch, Benoît‐Gilles Kerfant, Dongling Zhao, Lindsay S. Wilson, Shitian Cai, Peter H. Backx and S. R. Wayne Chen. Their work appears in journals such as Circulation Research, Scientific Reports 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.