Gerd Bicker

19 papers receiving 897 citations

Peers

Gerd Bicker
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 679
  • Insect Science 346
  • Sensory Systems 84
  • Ecology, Evolution, Behavior and Systematics 314
  • Genetics 337
Replace Karen A. Mesce with:
Karen A. Mesce United States
Friedrich‐Wilhelm Schürmann Germany
Heinz Penzlin Germany
Sarah J. Certel United States
Jürgen Rapus Germany
Ariane Ramaekers Switzerland
Edmund A. Arbas United States
Hans Agricola Germany
Jean‐Marc Lassance Sweden
Y. Pichon France
Gerd Bicker relative to Karen A. Mesce United States Karen A. Mesce's profile →
Citations per field
00.5×1.5×
Karen A. Mesce · 1×
Citations per year

Countries citing papers authored by Gerd Bicker

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Bicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Gerd Bicker, 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 Gerd Bicker Line = papers co-authored together Gerd Bicker links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1986167
2 1992142
3 1999110
4 198873
5 200168
6 199867
7 199658
8 199952
9 199745
10 199631
11 198624
12 200921
13 197920
14 199716
15 201411
16 19999
17 19994
18 20213
19 19992

About Gerd Bicker

Gerd Bicker is a scholar working on Cellular and Molecular Neuroscience, Genetics, Insect Science, Endocrine and Autonomic Systems and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 923 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Insect and Arachnid Ecology and Behavior (10 papers), Insect and Pesticide Research (7 papers), Circadian rhythm and melatonin (5 papers), Plant and animal studies (4 papers), Physiological and biochemical adaptations (2 papers), Olfactory and Sensory Function Studies (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (679 citations), Insect Science (346 citations), Sensory Systems (84 citations), Ecology, Evolution, Behavior and Systematics (314 citations) and Genetics (337 citations). Gerd Bicker has collaborated with scholars based in Germany, Netherlands and Slovakia. Frequent co-authors include Sabine Schäfer, Oliver Schmachtenberg, Jan de Vente, Ole Petter Ottersen, Jon Storm‐Mathisen, Klaus Wächtler, Michael Stern, Heinrich Reichert, Yunping Song and Klaus Krampfl. Their work appears in journals such as Microscopy Research and Technique, The Journal of Comparative Neurology, European Journal of Neuroscience, Scientific Reports and Tissue and Cell.

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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