Benjamin Dainat

3.4k total citations
47 papers, 2.1k citations indexed

About

Benjamin Dainat is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Benjamin Dainat has authored 47 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Insect Science, 41 papers in Genetics and 39 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Benjamin Dainat's work include Insect and Pesticide Research (46 papers), Insect and Arachnid Ecology and Behavior (41 papers) and Plant and animal studies (39 papers). Benjamin Dainat is often cited by papers focused on Insect and Pesticide Research (46 papers), Insect and Arachnid Ecology and Behavior (41 papers) and Plant and animal studies (39 papers). Benjamin Dainat collaborates with scholars based in Switzerland, France and South Africa. Benjamin Dainat's co-authors include Peter Neumann, Laurent Gauthier, Jay D. Evans, Yan Ping Chen, Max Bergoin, Diana Tentcheva, François Cousserans, M. Colin, Vincent Dietemann and Dennis vanEngelsdorp and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Benjamin Dainat

44 papers receiving 2.1k citations

Peers

Countries citing papers authored by Benjamin Dainat

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Dainat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Dainat

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The BeeBiome data portal provides easy access to bee microbiome information 2025 ·BMC Bioinformatics ·Valentine Rech de Laval, Benjamin Dainat, Philipp Engel, Marc Robinson‐Rechavi	0
2	Standard methods to estimate strength parameters, flight activity, comb construction, and fitness of Apis mellifera colonies 2.0 2024 ·Journal of Apicultural Research ·Ernesto Guzmán‐Novoa, Nuria Morfín, Benjamin Dainat, Geoffrey R. Williams, Jozef van der Steen, Adriana Correa-Benítez, Keith S. Delaplane	4
3	Sequence‐Based Multi Ancestry Association Study Reveals the Polygenic Architecture of Varroa destructor Resistance in the Honeybee Apis mellifera 2024 ·Molecular Ecology ·Sonia E Eynard, Fanny Mondet, (unknown), Olivier Bouchez, Yves Le Conte, Benjamin Dainat, Axel Decourtye, (unknown), (unknown), François Guillaume, (unknown), Barbara Locke, (unknown), Joachim R. de Miranda, Markus Neuditschko, Florence Phocas, (unknown), Alain Vignal, Bertrand Servin	3
4	An Overview of Selection Concepts Applied to Honey Bees 2023 ·Bee World ·(unknown), Florence Phocas, Markus Neuditschko, Benjamin Basso, Benjamin Dainat	3
5	Identification of runs of homozygosity in Western honey bees (Apis mellifera) using whole‐genome sequencing data 2023 ·Ecology and Evolution ·(unknown), (unknown), Benjamin Dainat, Geoffrey R. Williams, Sonia E Eynard, Alain Vignal, Bertrand Servin, Markus Neuditschko	4
6	New reference genomes of honey bee-associated bacteria Paenibacillus melissococcoides, Paenibacillus dendritiformis, and Paenibacillus thiaminolyticus 2023 ·Microbiology Resource Announcements ·Benjamin Dainat, Simone Oberhaensli, (unknown), Vincent Dietemann	1
7	Prospects, challenges and perspectives in harnessing natural selection to solve the ‘varroa problem’ of honey bees 2023 ·Evolutionary Applications ·(unknown), Benjamin Dainat, Vincent Dietemann	9
8	Differential resistance across paternal genotypes of honey bee brood to the pathogenic bacteriumMelissococcus plutonius 2022 ·Journal of Applied Entomology ·(unknown), Alexis Beaurepaire, (unknown), (unknown), Benjamin Dainat, Vincent Dietemann	1
9	Influence of Honey bee Nutritive Jelly Type and Dilution on its Bactericidal Effect on Melissococcus plutonius, the Etiological Agent of European Foulbrood 2022 ·Microbial Ecology ·(unknown), (unknown), (unknown), Vincent Dietemann, Benjamin Dainat	2
10	Lack of evidence for trans-generational immune priming against the honey bee pathogen Melissococcus plutonius 2022 ·PLoS ONE ·(unknown), (unknown), Verena Kilchenmann, Jean‐Daniel Charrière, Benjamin Dainat, Vincent Dietemann	11
11	Exploring Two Honey Bee Traits for Improving Resistance Against Varroa destructor: Development and Genetic Evaluation 2021 ·Insects ·(unknown), (unknown), E.W. Brascamp, (unknown), Markus Neuditschko, Benjamin Dainat	11
12	Two quantitative trait loci are associated with recapping of Varroa destructor‐infested brood cells in Apis mellifera mellifera 2021 ·Animal Genetics ·(unknown), Benjamin Dainat, Sonia E Eynard, Alain Vignal, Bertrand Servin, Markus Neuditschko	4
13	Identification of quantitative trait loci associated with calmness and gentleness in honey bees using whole‐genome sequences 2021 ·Animal Genetics ·(unknown), Benjamin Dainat, Sonia E Eynard, Alain Vignal, Bertrand Servin, Markus Neuditschko	12
14	Social context influences the expression of DNA methyltransferase genes in the honeybee 2018 ·Scientific Reports ·(unknown), (unknown), Benjamin Dainat, Klaus Hartfelder, Vincent Dietemann	12
15	Characterisation of the British honey bee metagenome 2018 ·Nature Communications ·Tim Regan, Mark Barnett, Dominik R. Laetsch, Stephen J. Bush, David Wragg, Giles E. Budge, (unknown), Benjamin Dainat, Joachim R. de Miranda, Mick Watson, Mark Blaxter, Tom C. Freeman	53
16	Standard epidemiological methods to understand and improve Apis mellifera health 2014 ·UpSpace Institutional Repository (University of Pretoria) ·Dennis van Engelsdorp, Eugene J. Lengerich, Angela Spleen, Benjamin Dainat, James Cresswell, Kathy Baylis, Bach Kim Nguyen, Victoria Soroker, Robyn M. Underwood, Hannelie Human, Yves Le Conte, Claude Saegerman	42
17	Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing 2013 ·BMC Genomics ·Robert S. Cornman, Humberto Boncristiani, Benjamin Dainat, Yanping Chen, Dennis vanEngelsdorp, Daniel Weaver, Jay D. Evans	32
18	Clinical signs of deformed wing virus infection are predictive markers for honey bee colony losses 2012 ·Journal of Invertebrate Pathology ·Benjamin Dainat, Peter Neumann	66
19	Colony collapse disorder in Europe 2011 ·Environmental Microbiology Reports ·Benjamin Dainat, Dennis vanEngelsdorp, Peter Neumann	74
20	Genetic characterization of slow bee paralysis virus of the honeybee (Apis mellifera L.) 2010 ·Journal of General Virology ·Joachim R. de Miranda, Benjamin Dainat, Barbara Locke, Guido Cordoni, Hélène Berthoud, Laurent Gauthier, Peter Neumann, Giles E. Budge, B. V. Ball, Don Stoltz	72

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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