G Isenberg
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Physiology top 2%
- Sensory Systems top 0.5%
- Co-authors
- Udo KlöcknerRyuji InoueLuiz BelardinelliVladimir GanitkevichL BelardinelliM. F. Wendt-GallitelliUwe RueckschlossGerhard Dahl
- Topics
- Ion channel regulation and function (92 papers)Cardiac electrophysiology and arrhythmias (90 papers)Neuroscience and Neural Engineering (53 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
G Isenberg
134 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 6.4k
- Cardiology and Cardiovascular Medicine 4.9k
- Cellular and Molecular Neuroscience 3.8k
- Physiology 810
- Sensory Systems 698
Countries citing papers authored by G Isenberg
This map shows the geographic impact of G Isenberg'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 G Isenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Isenberg more than expected).
Fields of papers citing papers by G Isenberg
This network shows the impact of papers produced by G Isenberg. 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 G Isenberg. The network helps show where G Isenberg may publish in the future.
Co-authorship network of co-authors of G Isenberg
This figure shows the co-authorship network connecting the top 25 collaborators of G Isenberg. A scholar is included among the top collaborators of G Isenberg 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 G Isenberg. G Isenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 92 | |
| 2 | 28 | |
| 3 | 6 | |
| 4 | 78 | |
| 5 | 65 | |
| 6 | Stretch-induced increments in [Na + ] i (mouse ventricular myocytes) | 1 |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 106 | |
| 10 | 29 | |
| 11 | 101 | |
| 12 | 96 | |
| 13 | 51 | |
| 14 | 21 | |
| 15 | 22 | |
| 16 | Electrophysiology and contractile function | 7 |
| 17 | 40 | |
| 18 | 3 | |
| 19 | 33 | |
| 20 | [Voltage-clamp experiments on isolated skeletal muscle fibers using a technic combining microelectrodes with double sucrose gap]. | 2 |
About G Isenberg
G Isenberg is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 135 papers that have together received 8.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (92 papers), Cardiac electrophysiology and arrhythmias (90 papers) and Neuroscience and Neural Engineering (53 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.9k citations), Cellular and Molecular Neuroscience (3.8k citations) and Sensory Systems (698 citations). G Isenberg has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Udo Klöckner, Ryuji Inoue, Luiz Belardinelli, Vladimir Ganitkevich, L Belardinelli, M. F. Wendt-Gallitelli, Uwe Rueckschloss, Gerhard Dahl, W. Trautwein and Clive M. Baumgarten. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.