Daniel T. Gray

1.0k citations
31 papers · 581 · h-index 14

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Memory and Neural Mechanisms 8
    • Neural dynamics and brain function 7
    • Hearing Loss and Rehabilitation 4
    • Sleep and Wakefulness Research 2
    • Neuroinflammation and Neurodegeneration Mechanisms 10

Daniel T. Gray

30 papers receiving 557 citations

Peers

Daniel T. Gray
Comparison fields: 5 of 79
  • Sensory Systems 73
  • Neurology 121
  • Cognitive Neuroscience 273
  • Cellular and Molecular Neuroscience 174
  • Behavioral Neuroscience 30
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Citations per field
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Citations per year

Countries citing papers authored by Daniel T. Gray

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Gray'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 T. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Gray more than expected).

Fields of papers citing papers by Daniel T. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199592
2 201578
3 201546
4 201937
5 201635
6 201432
7 202227
8 201325
9 201322
10 201620
11 201820
12 201919
13 201318
14 201816
15 199714
16
Examination of the early learning curve for transcatheter closure of patent ductus arteriosus using the rashkind occluder
199412
17 202212
18 201811
19 20227
20 20007

About Daniel T. Gray

Daniel T. Gray is a scholar working on Cognitive Neuroscience, Neurology, Cellular and Molecular Neuroscience, Sensory Systems and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 581 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (7 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Hearing Loss and Rehabilitation (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Sensory Systems (73 citations), Neurology (121 citations), Cognitive Neuroscience (273 citations), Cellular and Molecular Neuroscience (174 citations) and Behavioral Neuroscience (30 citations). Daniel T. Gray has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Carol A. Barnes, Gregg H. Recanzone, James R. Engle, P. Lipa, Antonio Carlos Gay Thomé, C. A. Erickson, Bo Lindblom, Per Lundorff, Annika Strandell and Jane Thorburn. Their work appears in journals such as Journal of Neuroscience, Behavioural Brain Research, The Journal of Comparative Neurology, Nature Communications and Frontiers in Aging Neuroscience.

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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