Gerd Krause
- Molecular Biology top 1%
- Neurology top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Jörg PiontekGunnar KleinauIngolf E. BlasigLars WinklerJonas ProtzeRalf SchüleinSebastian MuellerReiner F. Haseloff
- Topics
- Receptor Mechanisms and Signaling (49 papers)Neuropeptides and Animal Physiology (28 papers)Barrier Structure and Function Studies (26 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Gerd Krause
132 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 4.6k
- Neurology 1.9k
- Cellular and Molecular Neuroscience 1.2k
- Cell Biology 1000
- Endocrinology, Diabetes and Metabolism 873
Countries citing papers authored by Gerd Krause
This map shows the geographic impact of Gerd Krause'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 Gerd Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Krause more than expected).
Fields of papers citing papers by Gerd Krause
This network shows the impact of papers produced by Gerd Krause. 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 Gerd Krause. The network helps show where Gerd Krause may publish in the future.
Co-authorship network of co-authors of Gerd Krause
This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Krause. A scholar is included among the top collaborators of Gerd Krause 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 Gerd Krause. Gerd Krause is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 73 | |
| 5 | 13 | |
| 6 | 47 | |
| 7 | 18 | |
| 8 | 62 | |
| 9 | 23 | |
| 10 | 28 | |
| 11 | 94 | |
| 12 | 80 | |
| 13 | Structure and function of claudinsbreakdown → | 652 |
| 14 | 7 | |
| 15 | 56 | |
| 16 | 139 | |
| 17 | 60 | |
| 18 | 112 | |
| 19 | 41 | |
| 20 | 195 |
About Gerd Krause
Gerd Krause is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 132 papers that have together received 7.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (49 papers), Neuropeptides and Animal Physiology (28 papers) and Barrier Structure and Function Studies (26 papers). The work is most often cited by research in Neurology (1.9k citations), Molecular Biology (4.6k citations) and Cellular and Molecular Neuroscience (1.2k citations). Gerd Krause has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jörg Piontek, Gunnar Kleinau, Ingolf E. Blasig, Lars Winkler, Jonas Protze, Ralf Schülein, Sebastian Mueller, Reiner F. Haseloff, Sebastian Müller and Walter Birchmeier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.