Benoît Marçais

6.2k total citations
85 papers, 3.2k citations indexed

About

Benoît Marçais is a scholar working on Plant Science, Cell Biology and Ecology. According to data from OpenAlex, Benoît Marçais has authored 85 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 39 papers in Cell Biology and 29 papers in Ecology. Recurrent topics in Benoît Marçais's work include Plant Pathogens and Fungal Diseases (39 papers), Plant Pathogens and Resistance (29 papers) and Forest Insect Ecology and Management (25 papers). Benoît Marçais is often cited by papers focused on Plant Pathogens and Fungal Diseases (39 papers), Plant Pathogens and Resistance (29 papers) and Forest Insect Ecology and Management (25 papers). Benoît Marçais collaborates with scholars based in France, Morocco and United States. Benoît Marçais's co-authors include Marie‐Laure Desprez‐Loustau, Dominique Piou, Claude Husson, Louis-Michel Nageleisen, Renaud Ioos, Andrea Vannini, Olivier Caël, Pascal Frey, Jaime Aguayo and Cécile Robin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Benoît Marçais

83 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benoît Marçais France 32 2.2k 1.4k 1.1k 572 549 85 3.2k
Marie‐Laure Desprez‐Loustau France 25 2.1k 0.9× 1.2k 0.9× 1.0k 0.9× 487 0.9× 508 0.9× 52 3.4k
Ottmar Holdenrieder Switzerland 37 2.5k 1.1× 1.8k 1.3× 1.5k 1.4× 557 1.0× 1.1k 2.0× 81 4.0k
Katarina Ihrmark Sweden 21 2.5k 1.1× 1.0k 0.8× 1.2k 1.1× 575 1.0× 1.3k 2.4× 40 3.6k
Andrea Vannini Italy 29 2.1k 0.9× 1.6k 1.2× 669 0.6× 795 1.4× 283 0.5× 117 2.7k
Valentin Queloz Switzerland 19 937 0.4× 840 0.6× 922 0.9× 255 0.4× 519 0.9× 55 1.8k
Paolo Capretti Italy 27 1.5k 0.7× 1.3k 0.9× 866 0.8× 570 1.0× 489 0.9× 118 2.4k
Joan Webber United Kingdom 29 2.0k 0.9× 1.6k 1.1× 1.2k 1.1× 932 1.6× 686 1.2× 96 3.1k
Julio Javier Díez Spain 24 1.4k 0.6× 1.1k 0.8× 756 0.7× 311 0.5× 494 0.9× 156 2.2k
James J. Worrall United States 23 1.3k 0.6× 725 0.5× 782 0.7× 242 0.4× 617 1.1× 53 2.7k
Richard A. Sniezko United States 26 1.0k 0.5× 601 0.4× 706 0.7× 779 1.4× 292 0.5× 118 2.0k

Countries citing papers authored by Benoît Marçais

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Marçais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Marçais

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Marçais. A scholar is included among the top collaborators of Benoît Marçais 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 Benoît Marçais. Benoît Marçais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ningre, François, et al.. (2025). High Host Density Promotes Ash Dieback. Plant Pathology. 74(5). 1366–1375.
2.
Buée, Marc, et al.. (2024). Hymenoscyphus fraxineus persistence in the ash litter. Plant Pathology. 73(7). 1937–1946. 2 indexed citations
3.
4.
Marçais, Benoît, et al.. (2023). Ability of the ash dieback pathogen to reproduce and to induce damage on its host are controlled by different environmental parameters. PLoS Pathogens. 19(4). e1010558–e1010558. 10 indexed citations
5.
Douma, Jacob C., Eckehard G. Brockerhoff, Benoît Marçais, et al.. (2023). Eradication programs against non-native pests and pathogens of woody plants in Europe: which factors influence their success or failure?. NeoBiota. 84. 281–317. 5 indexed citations
6.
Wingfield, Michael J., Martin Mullett, Benoît Marçais, et al.. (2023). Population structure and diversity of the needle pathogen Dothistroma pini suggests human-mediated movement in Europe. Frontiers in Genetics. 14. 1103331–1103331. 2 indexed citations
7.
Muller, Élodie, Miloň Dvořák, Benoît Marçais, et al.. (2023). Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. NeoBiota. 84. 319–347. 8 indexed citations
8.
Ioos, Renaud, et al.. (2020). Landscape epidemiology of ash dieback. Journal of Ecology. 108(5). 1789–1799. 42 indexed citations
9.
Husson, Claude, et al.. (2019). Comparison and validation of Oomycetes metabarcoding primers for Phytophthora high throughput sequencing. Journal of Plant Pathology. 101(3). 743–748. 9 indexed citations
10.
Bartholomé, Jérôme, Benjamin Brachi, Benoît Marçais, et al.. (2019). The genetics of exapted resistance to two exotic pathogens in pedunculate oak. New Phytologist. 226(4). 1088–1103. 16 indexed citations
11.
Ioos, Renaud, et al.. (2018). Tracking the invasion: dispersal of Hymenoscyphus fraxineus airborne inoculum at different scales. FEMS Microbiology Ecology. 94(5). 42 indexed citations
12.
Ioos, Renaud, et al.. (2018). Do higher summer temperatures restrict the dissemination of Hymenoscyphus fraxineus in France?. Forest Pathology. 48(4). 29 indexed citations
13.
Aguayo, Jaime, Fabien Halkett, Claude Husson, et al.. (2016). Genetic Diversity and Origins of the Homoploid-Type Hybrid Phytophthora ×alni. Applied and Environmental Microbiology. 82(24). 7142–7153. 8 indexed citations
14.
Hamelin, Frédéric, et al.. (2016). Mate Finding, Sexual Spore Production, and the Spread of Fungal Plant Parasites. Bulletin of Mathematical Biology. 78(4). 695–712. 14 indexed citations
15.
Husson, Claude, Jaime Aguayo, Cécile Revellin, et al.. (2015). Evidence for homoploid speciation in Phytophthora alni supports taxonomic reclassification in this species complex. Fungal Genetics and Biology. 77. 12–21. 67 indexed citations
16.
Défossez, Emmanuel, Benoît Courbaud, Benoît Marçais, et al.. (2011). Do interactions between plant and soil biota change with elevation? A study on Fagus sylvatica. Biology Letters. 7(5). 699–701. 30 indexed citations
17.
Marçais, Benoît, et al.. (2009). Phenotypic variation in the phenology of ascospore production between European populations of oak powdery mildew. Annals of Forest Science. 66(8). 814–814. 40 indexed citations
18.
Desprez‐Loustau, Marie‐Laure, Cécile Robin, Michel Déqué, et al.. (2007). Simulating the effects of a climate-change scenario on the geographical range and activity of forest-pathogenic fungi. Canadian Journal of Plant Pathology. 29(2). 101–120. 151 indexed citations
19.
Marçais, Benoît & Olivier Caël. (2001). Relation between <i>Collybia fusipes</i> root rot and growth of pedunculate oak. Canadian Journal of Forest Research. 31(5). 757–764. 3 indexed citations
20.
Marçais, Benoît, et al.. (2000). Effets possibles des changements globaux sur les micro-organismes symbiotiques et pathogènes et les insectes ravageurs des forêts.. Revue Forestière Française. 99–99. 5 indexed citations

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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