David Siaussat

66 total papers · 1.3k total citations
37 papers, 586 citations indexed

About

David Siaussat is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, David Siaussat has authored 37 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Insect Science, 14 papers in Cellular and Molecular Neuroscience and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in David Siaussat's work include Insect and Pesticide Research (16 papers), Neurobiology and Insect Physiology Research (14 papers) and Environmental Toxicology and Ecotoxicology (10 papers). David Siaussat is often cited by papers focused on Insect and Pesticide Research (16 papers), Neurobiology and Insect Physiology Research (14 papers) and Environmental Toxicology and Ecotoxicology (10 papers). David Siaussat collaborates with scholars based in France, Spain and Burkina Faso. David Siaussat's co-authors include Françoise Bozzolan, Thomas Chertemps, Annick Maria, Stéphane Debernard, Nicolas Durand, Martine Maı̈bèche-Coisné, Marie-Anne Pottier, David Renault, Martine Maı̈bèche and P. Porcheron and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

David Siaussat

34 papers receiving 575 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Siaussat 310 208 208 127 112 37 586
Martine Maı̈bèche 373 1.2× 210 1.0× 231 1.1× 118 0.9× 153 1.4× 23 556
Andrea Bednářová 270 0.9× 165 0.8× 195 0.9× 129 1.0× 182 1.6× 23 586
Anna Kourti 205 0.7× 100 0.5× 282 1.4× 88 0.7× 190 1.7× 33 572
Shigui Wang 278 0.9× 194 0.9× 316 1.5× 128 1.0× 192 1.7× 50 670
Hongyi Wei 283 0.9× 83 0.4× 140 0.7× 95 0.7× 155 1.4× 37 620
Leena Thorat 213 0.7× 141 0.7× 197 0.9× 123 1.0× 104 0.9× 20 525
Jelena Purać 278 0.9× 135 0.6× 94 0.5× 244 1.9× 96 0.9× 37 631
P. Masner 255 0.8× 173 0.8× 106 0.5× 141 1.1× 175 1.6× 26 598
Shanshan Zhou 108 0.3× 159 0.8× 209 1.0× 212 1.7× 106 0.9× 30 595
Edit Pollák 101 0.3× 246 1.2× 186 0.9× 90 0.7× 33 0.3× 36 582

Countries citing papers authored by David Siaussat

Since Specialization
Citations

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

Fields of papers citing papers by David Siaussat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Siaussat

This figure shows the co-authorship network connecting the top 25 collaborators of David Siaussat. A scholar is included among the top collaborators of David Siaussat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Siaussat. David Siaussat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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