Daniel X. Keller

4.3k citations
73 papers · 2.9k · 1 hit paper · h-index 24

Impact in

Papers in

Daniel X. Keller

70 papers receiving 2.8k citations

Daniel X. Keller's Hit Papers

Reconstruction and Simulation of Neocortical Microcircuitry 2015 · 1k citations
1k0+3+7Years since publication2505007501k

Peers

Daniel X. Keller
Comparison fields: 5 of 169
  • Cognitive Neuroscience 1k
  • Cellular and Molecular Neuroscience 672
  • Neurology 200
  • Biophysics 169
  • Developmental Neuroscience 57
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Georges Khazen Lebanon
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Klaus Obermayer Germany
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Citations per year

Countries citing papers authored by Daniel X. Keller

Since Specialization
Citations

This map shows the geographic impact of Daniel X. 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 X. 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 X. Keller more than expected).

Fields of papers citing papers by Daniel X. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel X. 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 X. Keller. The network helps show where Daniel X. Keller may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel X. 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 X. Keller Line = papers co-authored together Daniel X. Keller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reconstruction and Simulation of Neocortical Microcircuitry
Hit paper breakdown →
20151014
2 2018271
3 2018183
4 2015111
5 201985
6 201683
7 200878
8 200867
9 201863
10 201562
11 201957
12 201354
13 201645
14 201544
15 202144
16 202143
17 201635
18 202135
19 202033
20 201632

About Daniel X. Keller

Daniel X. Keller is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Neurology and Infectious Diseases, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neuroscience and Neuropharmacology Research (14 papers), Cell Image Analysis Techniques (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Gene Regulatory Network Analysis (5 papers), Single-cell and spatial transcriptomics (5 papers), Barrier Structure and Function Studies (3 papers) and Cultural Heritage Materials Analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (1k citations), Cellular and Molecular Neuroscience (672 citations), Neurology (200 citations), Biophysics (169 citations) and Developmental Neuroscience (57 citations). Daniel X. Keller has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Henry Markram, Csaba Erö, Marc-Oliver Gewaltig, Terrence J. Sejnowski, Thomas M. Bartol, Jay S. Coggan, Felix Schürmann, Douglas Biber, Jesse Egbert and Kevin M. Franks. Their work appears in journals such as PLoS Computational Biology, Frontiers in Neuroanatomy, Frontiers in Neural Circuits, eLife 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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