Gavriel David

2.1k citations
44 papers · 1.7k · h-index 23

Impact in

Papers in

Gavriel David

43 papers receiving 1.6k citations

Peers

Gavriel David
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 798
  • Neurology 257
  • Developmental Neuroscience 65
  • Molecular Biology 981
  • Biophysics 73
Replace Walter A. Kaufmann with:
Walter A. Kaufmann Austria
Michel J. Roux France
Ellen F. Barrett United States
Kousuke Baba Japan
Kimberly Gerrow Canada
R N Pittman United States
E. A. Neale United States
Vahri Beaumont United States
Anthony A. Oliva United States
Henrik Martens Germany
Gavriel David relative to Walter A. Kaufmann Austria Walter A. Kaufmann's profile →
Citations per field
00.5×1.5×2.1×
Walter A. Kaufmann · 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-authors

The 20 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

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The zeiss-Nomarski differential interference equipment for transmitted-light microscopy.
1969241
2 2003145
3 1998143
4 200097
5 199988
6 199578
7 199371
8 199260
9 201059
10 200951
11 199349
12 199947
13 200344
14 200643
15 200341
16 199738
17 199234
18 201532
19 198631
20 200729

About Gavriel David

Gavriel David is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Genetics, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (20 papers), Neuroscience and Neuropharmacology Research (14 papers), Mitochondrial Function and Pathology (10 papers), Neuroscience and Neural Engineering (8 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 (798 citations), Neurology (257 citations), Developmental Neuroscience (65 citations), Molecular Biology (981 citations) and Biophysics (73 citations). Gavriel David has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Ellen F. Barrett, John N. Barrett, Robert D. Allen, G Nomarski, Khanh T. Nguyen, Zhongsheng Zhang, Kenichi Morita, Michael J. Howard, Yoel Yaari and Frank Edwards. Their work appears in journals such as The Journal of Physiology, Journal of Cell Science, Journal of Neuroscience, Journal of Microscopy and Experimental 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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