Daniel T. Gray

978 citations
32 papers · 535 · h-index 14

Impact in

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

Papers in

Daniel T. Gray

31 papers receiving 527 citations

Peers

Daniel T. Gray
Comparison fields: 5 of 80
  • Neurology 112
  • Sensory Systems 61
  • Cognitive Neuroscience 247
  • Cellular and Molecular Neuroscience 153
  • Behavioral Neuroscience 27
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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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199585
2 201572
3 201539
4 201937
5 201634
6 202225
7 201425
8 201321
9 201920
10 201819
11 201318
12 201618
13 201816
14 201315
15 199713
16
Examination of the early learning curve for transcatheter closure of patent ductus arteriosus using the rashkind occluder
199412
17 202212
18 201811
19 20008
20 20206

About Daniel T. Gray

Daniel T. Gray is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Sensory Systems, having authored 32 papers that have together received 535 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (6 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 Neurology (112 citations), Sensory Systems (61 citations), Cognitive Neuroscience (247 citations), Cellular and Molecular Neuroscience (153 citations) and Behavioral Neuroscience (27 citations). Daniel T. Gray has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Carol A. Barnes, James R. Engle, Gregg H. Recanzone, P. Lipa, C. A. Erickson, Antônio Thomé, Per Lundorff, Bo Lindblom, Jane Thorburn and Annika Strandell. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Behavioural Brain Research, The Journal of Comparative Neurology 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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