Katrin Feldbauer
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Structural Biology top 10%
Papers in
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- Photoreceptor and optogenetics research 5
- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 2
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- Lipid Membrane Structure and Behavior 1
- Receptor Mechanisms and Signaling 1
- ATP Synthase and ATPases Research 1
- Co-authors
- Ernst Bamberg (5 shared papers)Christian Bamann (2 shared papers)Phillip G. Wood (3 shared papers)Sonja Kleinlogel (1 shared paper)Robert E. Dempski (1 shared paper)Dirk Zimmermann (2 shared papers)Wolfgang Junge (1 shared paper)Hendrik Sielaff (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Nature Communications (1 paper)PLoS ONE (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- GermanySwitzerlandSingapore
In The Last Decade
Katrin Feldbauer
6 papers receiving 772 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 626
- Structural Biology 24
- Cognitive Neuroscience 187
- Endocrine and Autonomic Systems 44
- Sensory Systems 23
Countries citing papers authored by Katrin Feldbauer
This map shows the geographic impact of Katrin Feldbauer'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 Katrin Feldbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Feldbauer more than expected).
Fields of papers citing papers by Katrin Feldbauer
This network shows the impact of papers produced by Katrin Feldbauer. 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 Katrin Feldbauer. The network helps show where Katrin Feldbauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Katrin Feldbauer, 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 | 339 | |
| 2 | 2009 | 163 | |
| 3 | 2018 | 117 | |
| 4 | 2008 | 90 | |
| 5 | 2008 | 66 | |
| 6 | 2016 | 6 |
About Katrin Feldbauer
Katrin Feldbauer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Structural Biology, Cognitive Neuroscience and Biomedical Engineering, having authored 6 papers that have together received 781 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (5 papers), Neuroscience and Neural Engineering (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Lipid Membrane Structure and Behavior (1 paper), Molecular Communication and Nanonetworks (1 paper), Receptor Mechanisms and Signaling (1 paper), ATP Synthase and ATPases Research (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (626 citations), Structural Biology (24 citations), Cognitive Neuroscience (187 citations), Endocrine and Autonomic Systems (44 citations) and Sensory Systems (23 citations). Katrin Feldbauer has collaborated with scholars based in Germany, Switzerland and Singapore. Frequent co-authors include Ernst Bamberg, Christian Bamann, Phillip G. Wood, Sonja Kleinlogel, Robert E. Dempski, Dirk Zimmermann, Wolfgang Junge, Hendrik Sielaff, Hao Xie and Siegfried Engelbrecht. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Nature Communications, PLoS ONE and Nature Neuroscience.
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.