Emmanuel Perisse

2.3k citations
15 papers · 1.4k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Emmanuel Perisse

15 papers receiving 1.4k citations

Hit Papers

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

Peers

Emmanuel Perisse
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 1.3k
  • Insect Science 343
  • Ecology, Evolution, Behavior and Systematics 482
  • Genetics 658
  • Aging 41
Replace Nobuhiro Yamagata with:
Nobuhiro Yamagata Japan
Wolf Huetteroth Germany
Pierre-Yves Plaçais France
Guillaume Isabel France
Ryuichi Okada Japan
Florence Friggi‐Grelin France
Thomas Riemensperger Germany
Dennis Pauls Germany
J. Steven de Belle United States
Suewei Lin Taiwan
Emmanuel Perisse relative to Nobuhiro Yamagata Japan Nobuhiro Yamagata's profile →
Citations per field
00.5×1.5×
Nobuhiro Yamagata · 1×
Citations per year

Countries citing papers authored by Emmanuel Perisse

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Perisse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20234
2 202220
3 2018131
4 2016129
5 2015209
6 2015158
7 201467
8 201382
9 201345
10 201226
11
Layered reward signalling through octopamine and dopamine in Drosophila
Hit paper breakdown →
2012397
12 20117
13 200962
14 200937
15 20076

About Emmanuel Perisse

Emmanuel Perisse is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science and Endocrine and Autonomic Systems, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Insect and Arachnid Ecology and Behavior (10 papers), Animal Behavior and Reproduction (5 papers), Insect Utilization and Effects (3 papers), Plant and animal studies (2 papers), Physiological and biochemical adaptations (2 papers), Neural dynamics and brain function (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Insect Science (343 citations), Ecology, Evolution, Behavior and Systematics (482 citations), Genetics (658 citations) and Aging (41 citations). Emmanuel Perisse has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Scott Waddell, Wolf Huetteroth, David Owald, Christopher J. Burke, Gaurav Das, Clifford B. Talbot, Suewei Lin, Sarah J. Certel, Michael J. Krashes and Daryl M. Gohl. Their work appears in journals such as Current Biology, Neuron, Learning & Memory, BMC Biology and Journal of Comparative Physiology A.

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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