Daniel Keller
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Single-cell and spatial transcriptomics 6
- Bacterial biofilms and quorum sensing 5
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- Neuroscience and Neuropharmacology Research 16
- Neuroscience and Neural Engineering 5
- Co-authors
- Henry Markram (27 shared papers)Csaba Erö (3 shared papers)Marc-Oliver Gewaltig (2 shared papers)Gilles Prévost (12 shared papers)Thomas M. Bartol (3 shared papers)Terrence J. Sejnowski (3 shared papers)Jay S. Coggan (14 shared papers)H. Monteil (2 shared papers)
- Journals
- PLoS Computational Biology (7 papers)Frontiers in Neuroanatomy (4 papers)Frontiers in Neural Circuits (2 papers)Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Daniel Keller
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 161
- Cellular and Molecular Neuroscience 493
- Neurology 183
- Biophysics 115
- Cognitive Neuroscience 347
- Infectious Diseases 284
Countries citing papers authored by Daniel Keller
This map shows the geographic impact of Daniel Keller'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 Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Keller more than expected).
Fields of papers citing papers by Daniel Keller
This network shows the impact of papers produced by Daniel Keller. 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 Keller. The network helps show where Daniel Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 241 | |
| 2 | 2018 | 169 | |
| 3 | 1998 | 143 | |
| 4 | 2019 | 83 | |
| 5 | 2008 | 67 | |
| 6 | 2008 | 62 | |
| 7 | 2018 | 57 | |
| 8 | 2015 | 54 | |
| 9 | 2019 | 50 | |
| 10 | 2013 | 49 | |
| 11 | 2016 | 42 | |
| 12 | 2015 | 40 | |
| 13 | 2021 | 39 | |
| 14 | 2021 | 36 | |
| 15 | 2016 | 34 | |
| 16 | 2021 | 30 | |
| 17 | 2016 | 27 | |
| 18 | 2020 | 27 | |
| 19 | 2020 | 27 | |
| 20 | 2018 | 25 |
About Daniel Keller
Daniel Keller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Cognitive Neuroscience and Neurology, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neural dynamics and brain function (9 papers), Cell Image Analysis Techniques (8 papers), Single-cell and spatial transcriptomics (6 papers), Neuroscience and Neural Engineering (5 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (493 citations), Neurology (183 citations), Biophysics (115 citations), Cognitive Neuroscience (347 citations) and Infectious Diseases (284 citations). Daniel Keller has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Henry Markram, Csaba Erö, Marc-Oliver Gewaltig, Gilles Prévost, Thomas M. Bartol, Terrence J. Sejnowski, Jay S. Coggan, H. Monteil, Alain Gravet and Didier A. Colin. Their work appears in journals such as PLoS Computational Biology, Frontiers in Neuroanatomy, Frontiers in Neural Circuits, Bioinformatics and Journal of Theoretical Biology.
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.