Daniel Soetkamp
Impact in
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Connexins and lens biology 3
- Redox biology and oxidative stress 2
- Ion channel regulation and function 1
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- Cardiovascular Effects of Exercise 3
- Cardiac electrophysiology and arrhythmias 2
- Cardiomyopathy and Myosin Studies 2
- Cardiovascular Function and Risk Factors 2
- Co-authors
- Rainer Schulz (3 shared papers)Jennifer E. Van Eyk (6 shared papers)Kerstin Boengler (2 shared papers)Eduardo Marbán (5 shared papers)Martina Semenzato (1 shared paper)Fabio Di Lisa (1 shared paper)Sabine Gent (1 shared paper)Elisabet Miró‐Casas (1 shared paper)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Journal of Ethology (1 paper)Glia (1 paper)Basic Research in Cardiology (1 paper)Circulation Research (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Daniel Soetkamp
11 papers receiving 347 citations
Peers
Comparison fields: 5 of 64
- Cardiology and Cardiovascular Medicine 89
- Developmental Neuroscience 16
- Pathology and Forensic Medicine 69
- Molecular Biology 220
- Emergency Medicine 28
Countries citing papers authored by Daniel Soetkamp
This map shows the geographic impact of Daniel Soetkamp'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 Daniel Soetkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soetkamp more than expected).
Fields of papers citing papers by Daniel Soetkamp
This network shows the impact of papers produced by Daniel Soetkamp. 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 Daniel Soetkamp. The network helps show where Daniel Soetkamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Soetkamp, 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 | 2011 | 101 | |
| 2 | 2014 | 58 | |
| 3 | 2010 | 38 | |
| 4 | 2018 | 32 | |
| 5 | 2015 | 28 | |
| 6 | 2017 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 19 | |
| 10 | 2024 | 2 | |
| 11 | 2018 | 1 |
About Daniel Soetkamp
Daniel Soetkamp is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 11 papers that have together received 355 indexed citations. Recurring topics across this work include Connexins and lens biology (3 papers), Cardiovascular Effects of Exercise (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Redox biology and oxidative stress (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (89 citations), Developmental Neuroscience (16 citations), Pathology and Forensic Medicine (69 citations), Molecular Biology (220 citations) and Emergency Medicine (28 citations). Daniel Soetkamp has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Rainer Schulz, Jennifer E. Van Eyk, Kerstin Boengler, Eduardo Marbán, Martina Semenzato, Fabio Di Lisa, Sabine Gent, Elisabet Miró‐Casas, Susanne Rohrbach and Alberto Cabestrero. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Journal of Ethology, Glia, Basic Research in Cardiology 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.