Frédéric Marion‐Poll

4.1k citations
105 papers · 3.3k · h-index 30

Impact in

Papers in

Frédéric Marion‐Poll

103 papers receiving 3.2k citations

Peers

Frédéric Marion‐Poll
Comparison fields: 5 of 89
  • Insect Science 1.3k
  • Cellular and Molecular Neuroscience 1.7k
  • Ecology, Evolution, Behavior and Systematics 403
  • Sensory Systems 57
  • Genetics 256
Replace Russell A. Jurenka with:
Russell A. Jurenka United States
Martin N. Andersson Sweden
Hany K. M. Dweck Germany
Mattias C. Larsson Sweden
Anandasankar Ray United States
Kevin W. Wanner United States
Coral G. Warr Australia
Anupama Arun Dahanukar United States
Thomas Chertemps France
Alisha R. Anderson Australia
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Marion‐Poll

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Marion‐Poll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Marion‐Poll. 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 Frédéric Marion‐Poll. The network helps show where Frédéric Marion‐Poll may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004281
2 2003190
3 2010155
4 2002149
5 2004126
6 2007117
7 1997103
8 201196
9 201584
10 200276
11 201775
12 201271
13 199270
14 200068
15 199261
16 201459
17 199655
18 199655
19 201052
20 200750

About Frédéric Marion‐Poll

Frédéric Marion‐Poll is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics and Plant Science, having authored 105 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (57 papers), Insect-Plant Interactions and Control (32 papers), Insect Pheromone Research and Control (24 papers), Insect and Arachnid Ecology and Behavior (7 papers), Plant and animal studies (6 papers), Insect Pest Control Strategies (4 papers), Embedded Systems and FPGA Design (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Insect Science (1.3k citations), Cellular and Molecular Neuroscience (1.7k citations), Ecology, Evolution, Behavior and Systematics (403 citations), Sensory Systems (57 citations) and Genetics (256 citations). Frédéric Marion‐Poll has collaborated with scholars based in France, Japan and United Kingdom. Frequent co-authors include Teiichi Tanimura, Nicolas Meunier, Makoto Hiroi, Christine Dillmann, Thomas Degen, Ted C. J. Turlings, Jan N. C. van der Pers, Jean-Pierre Rospars, Thomas R. Tobin and Denis Thiéry. Their work appears in journals such as Journal of Chemical Ecology, Journal of Insect Physiology, Entomologia Experimentalis et Applicata, PLoS ONE and Chemical Senses.

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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