A. Gal

1.5k citations
41 papers · 955 · h-index 19

Impact in

Papers in

A. Gal

41 papers receiving 938 citations

Peers

A. Gal
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 342
  • Cognitive Neuroscience 281
  • Genetics 153
  • Statistical and Nonlinear Physics 63
  • Cell Biology 75
Replace Christoph Kirst with:
Christoph Kirst United States
J.‐C. Floyd Sarria Switzerland
Attila Szücs Hungary
Alberto E. Pereda United States
Andrew Huxley United Kingdom
Sharon Crook United States
Stephen J. Eglen United Kingdom
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Marcel Oberlaender Germany
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A. Gal relative to Christoph Kirst United States Christoph Kirst's profile →
Citations per field
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Christoph Kirst · 1×
Citations per year

Countries citing papers authored by A. Gal

Since Specialization
Citations

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

Fields of papers citing papers by A. Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015213
2 201076
3 200857
4 198542
5 198641
6 202039
7 200634
8 201133
9 199131
10 201331
11 199330
12 201029
13 201326
14 201426
15 199326
16 199625
17 202121
18 199521
19 202118
20 199416

About A. Gal

A. Gal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cognitive Neuroscience and Cell Biology, having authored 41 papers that have together received 955 indexed citations. Recurring topics across this work include Retinal Development and Disorders (8 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (6 papers), Neuroscience and Neuropharmacology Research (5 papers), melanin and skin pigmentation (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Neurological diseases and metabolism (5 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (342 citations), Cognitive Neuroscience (281 citations), Genetics (153 citations), Statistical and Nonlinear Physics (63 citations) and Cell Biology (75 citations). A. Gal has collaborated with scholars based in Germany, Israel and Netherlands. Frequent co-authors include Shimon Marom, Daniel Soudry, Shahar Kvatinsky, Avinoam Kolodny, Dotan Di Castro, Danny Eytan, Daniel J. C. Kronauer, Avner Wallach, Christoph Zrenner and Jonathan Saragosti. Their work appears in journals such as Human Genetics, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Journal of Inherited Metabolic Disease and Human Molecular Genetics.

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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