Jay D. Cook

1.0k citations
32 papers · 779 indexed · h-index 13

Impact in

    • Hemispheric Asymmetry in Neuroscience
    • Motor Control and Adaptation
    • Spatial Neglect and Hemispheric Dysfunction
    • Neurobiology of Language and Bilingualism

Papers in

Jay D. Cook

30 papers receiving 725 citations

Peers

Jay D. Cook
Comparison fields: 5 of 103
  • Cognitive Neuroscience 270
  • Genetics 69
  • Clinical Biochemistry 43
  • Developmental and Educational Psychology 74
  • Rheumatology 84
Replace Meiling Tong with:
Meiling Tong China
Klaus‐Henning Krause Germany
Zisis Tsouris Greece
Caroline M. Tanner United States
Cathérine C.S. Delnooz Netherlands
Laura Rosa Pisani Italy
Ellen C. G. Grant United Kingdom
Leopold Liss United States
Michel Aubé Canada
Krisztina Horváth Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Jay D. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Cook. 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 Jay D. Cook. The network helps show where Jay D. Cook may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199710
2
Delivery of liposome-sequestered ubiqui'lln and atp synthase subunit c to batten-cells
19960
3 199424
4 19941
5 199214
6 19901
7 19904
8 19905
9 19907
10 19881
11 19873
12 198729
13 198329
14 19834
15
A "lipid myopathy" associated with a hyperkinetic circulatory response to exercise.
19791
16
Successful treatment of a progressive myopathy using a modified ketogenic diet with medium-chain triglycerides
19791
17 197854
18 197025
19 19681
20 19683

About Jay D. Cook

Jay D. Cook is a scholar working on Genetics, Clinical Biochemistry, Parasitology, Cellular and Molecular Neuroscience and Neurology, having authored 32 papers that have together received 779 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (7 papers), Genetic Neurodegenerative Diseases (4 papers), Metabolism and Genetic Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Multiple Sclerosis Research Studies (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Cognitive Neuroscience (270 citations), Genetics (69 citations), Clinical Biochemistry (43 citations), Developmental and Educational Psychology (74 citations) and Rheumatology (84 citations). Jay D. Cook has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Marcel Kinsbourne, Ronald G. Haller, William I. Manton, C. Gunnar Blomqvist, S. F. Lewis, Steven F. Lewis, H.A. Ragan, I. A. Dyer, C. A. Finch and Saul M. Schanberg. Their work appears in journals such as Muscle & Nerve, Journal of Applied Physiology, Brain Research, Neurology and Journal of Child Neurology.

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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