Jean‐Marc Devaud

3.1k citations
52 papers · 2.2k · h-index 26

Impact in

Papers in

Jean‐Marc Devaud

48 papers receiving 2.2k citations

Peers

Jean‐Marc Devaud
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 998
  • Insect Science 557
  • Ecology, Evolution, Behavior and Systematics 242
  • Genetics 366
  • Aging 17
Replace Bernd Grünewald with:
Bernd Grünewald Germany
Monique Gauthier France
Christoph Johannes Kleineidam Germany
Wolfgang Blenau Germany
Jean‐Christophe Sandoz France
Axel Brockmann India
John Ewer United States
Mehwish Javaid United States
Uli Müller Germany
Hitoshi Aonuma Japan
Jean‐Marc Devaud relative to Bernd Grünewald Germany Bernd Grünewald's profile →
Citations per field
00.5×2×4×5.7×
Bernd Grünewald · 1×
Citations per year

Countries citing papers authored by Jean‐Marc Devaud

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Devaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Marc Devaud. 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 Jean‐Marc Devaud. The network helps show where Jean‐Marc Devaud may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017206
2 2002184
3 2010154
4 2012136
5 2001128
6 2018127
7 2015107
8 200389
9 202170
10 201968
11 201661
12 200757
13 200649
14 202146
15 201644
16 201744
17 201243
18 201842
19 202038
20 201537

About Jean‐Marc Devaud

Jean‐Marc Devaud is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Genetics, Health, Toxicology and Mutagenesis and Ecology, Evolution, Behavior and Systematics, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (36 papers), Insect and Pesticide Research (9 papers), Insect and Arachnid Ecology and Behavior (7 papers), Environmental Toxicology and Ecotoxicology (4 papers), Animal Behavior and Reproduction (2 papers), Heavy Metal Exposure and Toxicity (1 paper), RNA Research and Splicing (1 paper) and Insect Pheromone Research and Control (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (998 citations), Insect Science (557 citations), Ecology, Evolution, Behavior and Systematics (242 citations), Genetics (366 citations) and Aging (17 citations). Jean‐Marc Devaud has collaborated with scholars based in France, Australia and Germany. Frequent co-authors include Andrew B. Barron, Mathieu Lihoreau, Alberto Ferrús, Martín Giurfa, Ángel Acebes, Simon Klein, Amélie Cabirol, Jean‐Christophe Sandoz, Coline Monchanin and Wolfgang Rößler. Their work appears in journals such as Scientific Reports, Journal of Neuroscience, Journal of Experimental Biology, PLoS ONE 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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