Gavriel David

2.1k citations
48 papers · 1.7k indexed · h-index 23

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 18
    • Neuroscience and Neural Engineering 11
    • Amyotrophic Lateral Sclerosis Research 6
    • Parkinson's Disease Mechanisms and Treatments 4

Gavriel David

47 papers receiving 1.6k citations

Peers

Gavriel David
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 852
  • Neurology 265
  • Developmental Neuroscience 70
  • Molecular Biology 1.0k
  • Biophysics 74
Replace Michel J. Roux with:
Michel J. Roux France
Ellen F. Barrett United States
E. A. Neale United States
Kyle E. Miller United States
R N Pittman United States
Alison E. Twelvetrees United Kingdom
James Herrington United States
Berndt Ehinger Sweden
Verena Pawlak Germany
Henrik Martens Germany
Gavriel David relative to Michel J. Roux France Michel J. Roux's profile →
Citations per field
00.5×1.5×2.5×
Michel J. Roux · 1×
Citations per year

Countries citing papers authored by Gavriel David

Since Specialization
Citations

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

Fields of papers citing papers by Gavriel David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Gavriel David, 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 Gavriel David Line = papers co-authored together Gavriel David links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201421
2 20124
3 201123
4 201111
5 201059
6 200729
7 200725
8 200710
9 200643
10 2003143
11 200340
12 199947
13 1998143
14 199738
15 199578
16 199234
17 199260
18 198614
19 19858
20 19723

About Gavriel David

Gavriel David is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Genetics and Cell Biology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (24 papers), Neuroscience and Neuropharmacology Research (18 papers), Neuroscience and Neural Engineering (11 papers), Mitochondrial Function and Pathology (10 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (852 citations), Neurology (265 citations), Developmental Neuroscience (70 citations), Molecular Biology (1.0k citations) and Biophysics (74 citations). Gavriel David has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Ellen F. Barrett, John N. Barrett, G Nomarski, Robert D. Allen, Khanh T. Nguyen, Zhongsheng Zhang, Yoel Yaari, Kenichi Morita, Michael E. Selzer and Michael J. Howard. Their work appears in journals such as The Journal of Physiology, Brain Research, Journal of Cell Science, Journal of Neuroscience and Journal of Microscopy.

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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