Daniel A. Butts

4.7k citations
60 papers · 3.2k · h-index 27

Impact in

Papers in

    • Neural dynamics and brain function 35
    • Visual perception and processing mechanisms 21
    • Neuroscience and Neuropharmacology Research 10
    • Neuroscience and Neural Engineering 10
    • Photoreceptor and optogenetics research 10
    • Neurobiology and Insect Physiology Research 7

Daniel A. Butts

59 papers receiving 3.1k citations

Peers

Daniel A. Butts
Comparison fields: 5 of 130
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.3k
  • Sensory Systems 116
  • Neurology 176
  • Developmental Neuroscience 74
Replace K. Kitamura with:
K. Kitamura Japan
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Hemant Bokil United States
Sotiris C. Masmanidis United States
Ho Ko Hong Kong
Frank Sengpiel United Kingdom
Pengcheng Zhou China
Akichika Mikami Japan
Eric D. Cocker United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Butts

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Butts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007293
2 1999261
3 2004257
4 2007246
5 1997185
6 2006179
7 2007163
8 1997142
9 2011130
10 2013106
11 200791
12 201280
13 201976
14 199970
15 201470
16 201157
17 201555
18 200153
19 200350
20 200648

About Daniel A. Butts

Daniel A. Butts is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Mechanical Engineering and Mechanics of Materials, having authored 60 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (35 papers), Visual perception and processing mechanisms (21 papers), Retinal Development and Disorders (15 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (10 papers), Neurobiology and Insect Physiology Research (7 papers) and Metal and Thin Film Mechanics (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (1.3k citations), Sensory Systems (116 citations), Neurology (176 citations) and Developmental Neuroscience (74 citations). Daniel A. Butts has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Daniel S. Rokhsar, Carla J. Shatz, William F. Gale, Mark S. Goldman, C. Alex Goddard, Jianzhong Jin, Chong Weng, José‐Manuel Alonso, Patrick O. Kanold and James M. McFarland. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Nature Communications, Neuron and eLife.

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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