Stefan Neef
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 10%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Lars S. MaierGerd HasenfußSamuel SossallaKatharina OrtJohannes BacksNina FluschnikJulian MustrophNataliya Dybkova
- Topics
- Cardiac electrophysiology and arrhythmias (25 papers)Ion channel regulation and function (22 papers)Cardiomyopathy and Myosin Studies (8 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Stefan Neef
32 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 1.5k
- Surgery 310
- Cellular and Molecular Neuroscience 264
- Pathology and Forensic Medicine 174
Countries citing papers authored by Stefan Neef
This map shows the geographic impact of Stefan Neef'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 Stefan Neef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Neef more than expected).
Fields of papers citing papers by Stefan Neef
This network shows the impact of papers produced by Stefan Neef. 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 Stefan Neef. The network helps show where Stefan Neef may publish in the future.
Co-authorship network of co-authors of Stefan Neef
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Neef. A scholar is included among the top collaborators of Stefan Neef 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 Stefan Neef. Stefan Neef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | 28 | |
| 5 | 29 | |
| 6 | 55 | |
| 7 | 10 | |
| 8 | 28 | |
| 9 | 73 | |
| 10 | 2 | |
| 11 | 143 | |
| 12 | 0 | |
| 13 | 34 | |
| 14 | 22 | |
| 15 | 41 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 28 | |
| 19 | 71 | |
| 20 | 17 |
About Stefan Neef
Stefan Neef is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (25 papers), Ion channel regulation and function (22 papers) and Cardiomyopathy and Myosin Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (264 citations). Stefan Neef has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Lars S. Maier, Gerd Hasenfuß, Samuel Sossalla, Katharina Ort, Johannes Backs, Nina Fluschnik, Julian Mustroph, Nataliya Dybkova, K. Neumann and Friedrich A. Schöndube. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.