Gaby Maimon

3.3k citations
24 papers · 1.8k · h-index 19

Impact in

Papers in

Gaby Maimon

23 papers receiving 1.8k citations

Peers

Gaby Maimon
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 1.3k
  • Cognitive Neuroscience 781
  • Ecology, Evolution, Behavior and Systematics 512
  • Endocrine and Autonomic Systems 127
  • Genetics 517
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Gwyneth M Card United States
Romain Franconville United States
Susana Q. Lima Portugal
Angelique C. Paulk United States
Michael B. Reiser United States
Mikko Juusola United Kingdom
Johannes D. Seelig Germany
Shin-ya Takemura United States
Marion Silies Germany
R Hengstenberg Germany
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Citations per field
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Citations per year

Countries citing papers authored by Gaby Maimon

Since Specialization
Citations

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

Fields of papers citing papers by Gaby Maimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010324
2 2017216
3 2009157
4 2006153
5 2008147
6 2015138
7 2021100
8 201784
9 202176
10 201976
11 201058
12 200645
13 201143
14 201840
15 202038
16 202236
17 202434
18 202128
19 201821
20 202314

About Gaby Maimon

Gaby Maimon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 papers), Insect and Arachnid Ecology and Behavior (7 papers), Retinal Development and Disorders (5 papers), Animal Behavior and Reproduction (5 papers), Circadian rhythm and melatonin (4 papers), Neural dynamics and brain function (4 papers), Plant and Biological Electrophysiology Studies (3 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (781 citations), Ecology, Evolution, Behavior and Systematics (512 citations), Endocrine and Autonomic Systems (127 citations) and Genetics (517 citations). Gaby Maimon has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Michael H. Dickinson, John A. Assad, Andrew Straw, Jonathan Green, Anmo J. Kim, Cheng Lyu, Atsuko Adachi, L. F. Abbott, Kunal Shah and Pablo S. Magani. Their work appears in journals such as Nature, Nature Neuroscience, Current Biology, Cell and Current Opinion in Neurobiology.

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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