Étienne Serbe

1.1k citations
19 papers · 676 · h-index 9

Impact in

Papers in

Étienne Serbe

18 papers receiving 662 citations

Peers

Étienne Serbe
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 607
  • Ecology, Evolution, Behavior and Systematics 217
  • Cognitive Neuroscience 185
  • Genetics 160
  • Aging 9
Replace Georg Ammer with:
Georg Ammer Germany
Matthias Meier Germany
Aljoscha Leonhardt Germany
Armin Bahl Germany
Kazunori Shinomiya United States
Bettina Schnell Germany
Alex S. Mauss Germany
Thomas Effertz Germany
Tabea Schilling Germany
J. Scott Lauritzen United States
Étienne Serbe relative to Georg Ammer Germany Georg Ammer's profile →
Citations per field
00.5×1.5×
Georg Ammer · 1×
Citations per year

Countries citing papers authored by Étienne Serbe

Since Specialization
Citations

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

Fields of papers citing papers by Étienne Serbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013237
2 201477
3 201668
4 201666
5 201659
6 201449
7 202043
8 201533
9 202013
10 20178
11 20236
12 20224
13 20194
14 20233
15 20232
16 20212
17 20241
18 20241
19 20240

About Étienne Serbe

Étienne Serbe is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Social Psychology, having authored 19 papers that have together received 676 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Retinal Development and Disorders (7 papers), Animal Behavior and Reproduction (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Animal and Plant Science Education (3 papers), Plant and Biological Electrophysiology Studies (3 papers), Zebrafish Biomedical Research Applications (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (607 citations), Ecology, Evolution, Behavior and Systematics (217 citations), Cognitive Neuroscience (185 citations), Genetics (160 citations) and Aging (9 citations). Étienne Serbe has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Alexander Borst, Matthias Meier, Aljoscha Leonhardt, Georg Ammer, Armin Bahl, Juergen Haag, Barry J. Dickson, Alex S. Mauss, Tabea Schilling and Gerald M. Rubin. Their work appears in journals such as Current Biology, Journal of Neuroscience, Nature Neuroscience, Neuron and Development.

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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