Wolf Huetteroth

3.1k citations
30 papers · 1.9k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Wolf Huetteroth

30 papers receiving 1.9k citations

Hit Papers

Layered reward signalling through octopamine and dopamine in Drosophila 2012 · 397 citations
3972012202620162021100200300

Peers

Wolf Huetteroth
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 1.7k
  • Insect Science 469
  • Ecology, Evolution, Behavior and Systematics 667
  • Genetics 912
  • Aging 57
Replace Andreas S. Thum with:
Andreas S. Thum Germany
Emmanuel Perisse United Kingdom
J. Steven de Belle United States
Florence Friggi‐Grelin France
Ilona C Grunwald Kadow Germany
Troy Zars United States
Azusa Kamikouchi Japan
David Owald Germany
Pierre-Yves Plaçais France
Nobuhiro Yamagata Japan
Wolf Huetteroth relative to Andreas S. Thum Germany Andreas S. Thum's profile →
Citations per field
00.5×1.5×
Andreas S. Thum · 1×
Citations per year

Countries citing papers authored by Wolf Huetteroth

Since Specialization
Citations

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

Fields of papers citing papers by Wolf Huetteroth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 202211
4 20213
5 202020
6 201933
7 201913
8 2016129
9 2015158
10 201429
11 201345
12 201248
13 201126
14 201033
15 200915
16 200976
17 200732
18 200724
19 200561
20 200313

About Wolf Huetteroth

Wolf Huetteroth is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Sensory Systems, Genetics and Insect Science, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (16 papers), Animal Behavior and Reproduction (14 papers), Plant and animal studies (4 papers), Olfactory and Sensory Function Studies (4 papers), Fossil Insects in Amber (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Insect Utilization and Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Insect Science (469 citations), Ecology, Evolution, Behavior and Systematics (667 citations), Genetics (912 citations) and Aging (57 citations). Wolf Huetteroth has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Scott Waddell, Emmanuel Perisse, David Owald, Christopher J. Burke, Joachim Schachtner, Clifford B. Talbot, Gaurav Das, Suewei Lin, Michael J. Krashes and Andrew C. Lin. Their work appears in journals such as Current Biology, Neuron, Developmental Neurobiology, Cell and Tissue Research and Current Opinion in Insect Science.

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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