Daniel Bauer
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Ion channel regulation and function 7
- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
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- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Kay Hamacher (5 shared papers)Gerhard Thiel (5 shared papers)Anna Moroni (4 shared papers)Andrea Saponaro (2 shared papers)Bina Santoro (1 shared paper)Sidney Fleischer (1 shared paper)A. Scarpa (1 shared paper)Alessandro Porro (1 shared paper)
- Journals
- Channels (1 paper)European Biophysics Journal (1 paper)BMC Bioinformatics (1 paper)eLife (1 paper)The Journal of General Physiology (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Daniel Bauer
8 papers receiving 117 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 34
- Cardiology and Cardiovascular Medicine 36
- Molecular Biology 94
- Biochemistry 7
- Aging 1
Countries citing papers authored by Daniel Bauer
This map shows the geographic impact of Daniel Bauer'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 Daniel Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bauer more than expected).
Fields of papers citing papers by Daniel Bauer
This network shows the impact of papers produced by Daniel Bauer. 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 Daniel Bauer. The network helps show where Daniel Bauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bauer, 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 | 2019 | 58 | |
| 2 | 1981 | 30 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2021 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 |
About Daniel Bauer
Daniel Bauer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Surgery and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 124 indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Cardiac electrophysiology and arrhythmias (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Species Distribution and Climate Change (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (34 citations), Cardiology and Cardiovascular Medicine (36 citations), Molecular Biology (94 citations), Biochemistry (7 citations) and Aging (1 citation). Daniel Bauer has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Kay Hamacher, Gerhard Thiel, Anna Moroni, Andrea Saponaro, Bina Santoro, Sidney Fleischer, A. Scarpa, Alessandro Porro, J. Kent Blasie and Leo G. Herbette. Their work appears in journals such as Channels, European Biophysics Journal, BMC Bioinformatics, eLife and The Journal of General Physiology.
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.