Enno de Lange
- Cardiology and Cardiovascular Medicine top 5%
- Statistical and Nonlinear Physics top 1%
- Molecular Biology
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Martin HaslerIgor BelykhMarco StoraceDaniele LinaroZhilin QuKay HameyerJan KučeraFrançois Henrotte
- Topics
- Cardiac electrophysiology and arrhythmias (17 papers)Ion channel regulation and function (14 papers)Electric Motor Design and Analysis (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsCardiology and Cardiovascular MedicineCognitive Neuroscience
- Journals
- Physical Review LettersThe Journal of PhysiologyIEEE Transactions on Industrial Electronics
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Enno de Lange
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 543
- Statistical and Nonlinear Physics 529
- Molecular Biology 434
- Computer Networks and Communications 426
- Cognitive Neuroscience 403
Countries citing papers authored by Enno de Lange
This map shows the geographic impact of Enno de Lange'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 Enno de Lange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enno de Lange more than expected).
Fields of papers citing papers by Enno de Lange
This network shows the impact of papers produced by Enno de Lange. 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 Enno de Lange. The network helps show where Enno de Lange may publish in the future.
Co-authorship network of co-authors of Enno de Lange
This figure shows the co-authorship network connecting the top 25 collaborators of Enno de Lange. A scholar is included among the top collaborators of Enno de Lange 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 Enno de Lange. Enno de Lange is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 82 | |
| 3 | 29 | |
| 4 | 14 | |
| 5 | 46 | |
| 6 | 38 | |
| 7 | Loss of function of hNav1.5 by a ZASP1 mutation associated with intraventricular conduction disturbances in left ventricular noncompaction | 1 |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 49 | |
| 11 | 39 | |
| 12 | 94 | |
| 13 | 52 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 22 | |
| 20 | 348 |
About Enno de Lange
Enno de Lange is a scholar working on Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (14 papers) and Electric Motor Design and Analysis (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (529 citations), Cardiology and Cardiovascular Medicine (543 citations) and Cognitive Neuroscience (403 citations). Enno de Lange has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Hasler, Igor Belykh, Marco Storace, Daniele Linaro, Zhilin Qu, Kay Hameyer, Jan Kučera, François Henrotte, James N. Weiss and Alan Garfinkel. Their work appears in journals such as Physical Review Letters, The Journal of Physiology and IEEE Transactions on Industrial Electronics.
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.