Fred Rieke

15.3k citations
135 papers · 10.4k indexed · 2 hit papers · h-index 53

Fred Rieke

132 papers receiving 10.2k citations

Hit Papers

Spikes: Exploring the Neural Code1.9k199120262002201450010001.5k

Peers

Fred Rieke
Comparison fields: 5 of 158
  • Cellular and Molecular Neuroscience 5.9k
  • Cognitive Neuroscience 5.4k
  • Sensory Systems 454
  • Molecular Biology 5.5k
  • Statistical and Nonlinear Physics 838
Replace Simon B. Laughlin with:
Simon B. Laughlin United Kingdom
Markus Meister United States
S. Murray Sherman United States
William T. Newsome United States
Robert Shapley United States
Matteo Carandini United Kingdom
R. Clay Reid United States
T. J. Sejnowski United States
Yasushi Miyashita Japan
Yosef Yarom Israel
Fred Rieke relative to Simon B. Laughlin United Kingdom Simon B. Laughlin's profile →
Citations per field
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Simon B. Laughlin · 1×
Citations per year

Countries citing papers authored by Fred Rieke

Since Specialization
Citations

This map shows the geographic impact of Fred Rieke'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 Fred Rieke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Rieke more than expected).

Fields of papers citing papers by Fred Rieke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Rieke. 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 Fred Rieke. The network helps show where Fred Rieke may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20230
3 202217
4 20214
5 202112
6 202126
7 201928
8 201811
9 201822
10 2017339
11 2017116
12
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
20149
13
Asymmetries between ON and OFF responses in primate vision first arise in photoreceptors
20132
14 201173
15 200930
16 2007157
17
The Physiological Role of PDE in Mouse Photoreceptors
20051
18 2003104
19 19991
20
Reading a Neural Code
19892

About Fred Rieke

Fred Rieke is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 135 papers that have together received 10.4k indexed citations. Recurring topics across this work include Retinal Development and Disorders (87 papers), Neural dynamics and brain function (74 papers), Photoreceptor and optogenetics research (61 papers), Visual perception and processing mechanisms (32 papers), Neuroscience and Neuropharmacology Research (29 papers), Neuroscience and Neural Engineering (21 papers), Neurobiology and Insect Physiology Research (13 papers) and Olfactory and Sensory Function Studies (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.9k citations), Cognitive Neuroscience (5.4k citations) and Sensory Systems (454 citations). Fred Rieke has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include William Bialek, Rob de Ruyter van Steveninck, D. A. Baylor, Greg D. Field, David K. Warland, Rob R. de Ruyter van Steveninck, Eric A. Schwartz, Felice A. Dunn, Gregory W. Schwartz and Alapakkam P. Sampath. Their work appears in journals such as Journal of Neuroscience, Neuron, eLife, Nature Neuroscience and Proceedings of the National Academy of Sciences.

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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