David E. Naylor

25 papers receiving 1.4k citations

Peers

David E. Naylor
Comparison fields: 5 of 74
  • Psychiatry and Mental health 691
  • Cellular and Molecular Neuroscience 859
  • Pediatrics, Perinatology and Child Health 322
  • Developmental Neuroscience 55
  • Cognitive Neuroscience 203
Replace Lucie Suchomelová with:
Lucie Suchomelová United States
Raman Sankar United States
Michiko Nakamura Japan
Wendy A. Pouliot United States
Kazumaru Wada Japan
Zakaria Mtchedlishvili United States
Nadia Lelutiu United States
Olagide Wagner de Castro Brazil
Ellen F. Sperber United States
Corinne Brana France
David E. Naylor relative to Lucie Suchomelová United States Lucie Suchomelová's profile →
Citations per field
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Lucie Suchomelová · 1×
Citations per year

Countries citing papers authored by David E. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by David E. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Naylor. 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 David E. Naylor. The network helps show where David E. Naylor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005403
2 2013167
3 200189
4 200785
5 201666
6 200258
7 201155
8 201350
9 201048
10 200245
11 200240
12 201939
13 201939
14 200935
15 200531
16 201530
17 201319
18 202316
19 200215
20 201413

About David E. Naylor

David E. Naylor is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Molecular Biology, Cognitive Neuroscience and Physiology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Epilepsy research and treatment (14 papers), Ion channel regulation and function (7 papers), Lysosomal Storage Disorders Research (4 papers), Neural dynamics and brain function (3 papers), Spinal Dysraphism and Malformations (2 papers), Neonatal and fetal brain pathology (2 papers) and Glycogen Storage Diseases and Myoclonus (2 papers). The work is most often cited by research in Psychiatry and Mental health (691 citations), Cellular and Molecular Neuroscience (859 citations), Pediatrics, Perinatology and Child Health (322 citations), Developmental Neuroscience (55 citations) and Cognitive Neuroscience (203 citations). David E. Naylor has collaborated with scholars based in United States, Finland and France. Frequent co-authors include Claude G. Wasterlain, Hantao Liu, Jérôme Niquet, Hantao Liu, Roger A. Baldwin, Lucie Suchomelová, István Módy, Zoltán Nusser, James Chen and Kerry W. Thompson. Their work appears in journals such as Epilepsia, Neurobiology of Disease, Epilepsia Open, Molecular Genetics and Metabolism and Epilepsy & Behavior.

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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