Daniel Keller

4.9k citations
74 papers · 1.8k · h-index 23

Impact in

    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Daniel Keller

70 papers receiving 1.7k citations

Peers

Daniel Keller
Comparison fields: 5 of 164
  • Cellular and Molecular Neuroscience 507
  • Neurology 189
  • Biophysics 117
  • Cognitive Neuroscience 358
  • Infectious Diseases 302
Replace Paul A. Johnston with:
Paul A. Johnston United States
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Wolfgang Köhler Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Keller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Keller Line = papers co-authored together Daniel Keller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018242
2 2018172
3 1998152
4 201986
5 200873
6 200866
7 201860
8 201554
9 201351
10 201950
11 201644
12 202142
13 201541
14 202138
15 201634
16 202031
17 202130
18 201629
19 202028
20 201826

About Daniel Keller

Daniel Keller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Cognitive Neuroscience and Neurology, having authored 74 papers that have together received 1.8k 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 (507 citations), Neurology (189 citations), Biophysics (117 citations), Cognitive Neuroscience (358 citations) and Infectious Diseases (302 citations). Daniel Keller has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Henry Markram, Csaba Erö, Gilles Prévost, Marc-Oliver Gewaltig, 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, Bioinformatics, International Journal of Hospitality Management 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.

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