Kyle M. Gardner

2.4k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Kyle M. Gardner is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Kyle M. Gardner has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 14 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Kyle M. Gardner's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Horticultural and Viticultural Research (6 papers). Kyle M. Gardner is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Horticultural and Viticultural Research (6 papers). Kyle M. Gardner collaborates with scholars based in Canada, United States and Denmark. Kyle M. Gardner's co-authors include Sean Myles, Robert G. Latta, Zoë Migicovsky, Daniel Money, Heidi Schwaninger, Gan‐Yuan Zhong, Jason Sawler, Jonathan E. Page, Jake Stout and Darryl Hudson and has published in prestigious journals such as PLoS ONE, Genetics and Evolution.

In The Last Decade

Kyle M. Gardner

29 papers receiving 1.4k citations

Hit Papers

LinkImpute: Fast and Accurate Genotype Imputation for Non... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle M. Gardner Canada 18 1.1k 547 334 179 157 29 1.4k
Zoë Migicovsky Canada 21 1.1k 1.0× 360 0.7× 376 1.1× 107 0.6× 40 0.3× 46 1.4k
Robin van Velzen Netherlands 20 738 0.7× 147 0.3× 384 1.1× 213 1.2× 160 1.0× 40 1.2k
Myounghai Kwak South Korea 19 827 0.8× 268 0.5× 553 1.7× 297 1.7× 41 0.3× 68 1.4k
Mathias Lorieux France 32 2.6k 2.4× 1.3k 2.4× 530 1.6× 121 0.7× 151 1.0× 66 2.9k
Linsey Newton United States 20 1.3k 1.2× 209 0.4× 645 1.9× 144 0.8× 48 0.3× 30 1.7k
Rosana Pereira Vianello Brazil 24 1.2k 1.2× 476 0.9× 214 0.6× 151 0.8× 12 0.1× 77 1.5k
Amandine Cornille France 22 1.1k 1.0× 402 0.7× 468 1.4× 449 2.5× 16 0.1× 39 1.5k
Michael Rostás Germany 25 1.3k 1.2× 124 0.2× 347 1.0× 636 3.6× 68 0.4× 85 1.9k
J. W. Van Ooijen Netherlands 6 1.7k 1.6× 787 1.4× 490 1.5× 108 0.6× 17 0.1× 6 2.1k
Xin Dong China 18 788 0.7× 173 0.3× 499 1.5× 121 0.7× 122 0.8× 42 1.1k

Countries citing papers authored by Kyle M. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle M. Gardner. 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 Kyle M. Gardner. The network helps show where Kyle M. Gardner may publish in the future.

Co-authorship network of co-authors of Kyle M. Gardner

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle M. Gardner. A scholar is included among the top collaborators of Kyle M. Gardner 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 Kyle M. Gardner. Kyle M. Gardner 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.
Kyriakidou, Maria, Kyle M. Gardner, David De Koeyer, et al.. (2022). Genome sequencing of adapted diploid potato clones. Frontiers in Plant Science. 13. 954933–954933. 6 indexed citations
2.
Migicovsky, Zoë, Kyle M. Gardner, Christopher M. Richards, et al.. (2021). Genomic consequences of apple improvement. Horticulture Research. 8(1). 9–9. 53 indexed citations
3.
Smith, R. L., Janice Lawrence, Mathuresh Singh, et al.. (2021). Coleus blumei viroid 7: a novel viroid resulting from genome recombination between Coleus blumei viroids 1 and 5. Archives of Virology. 166(11). 3157–3163. 2 indexed citations
4.
Gardner, Kyle M., et al.. (2019). Genetic Mapping of Steroidal Glycoalkaloids Using Selective Genotyping in Potato. American Journal of Potato Research. 96(5). 505–516. 6 indexed citations
5.
Larsen, B., Kyle M. Gardner, Carsten Pedersen, et al.. (2018). Population structure, relatedness and ploidy levels in an apple gene bank revealed through genotyping-by-sequencing. PLoS ONE. 13(8). e0201889–e0201889. 31 indexed citations
6.
Tai, Helen H., et al.. (2017). Understanding potato with the help of genomics. AIMS Agriculture and Food. 2(1). 16–39. 10 indexed citations
7.
Migicovsky, Zoë, Jason Sawler, Kyle M. Gardner, et al.. (2017). Patterns of genomic and phenomic diversity in wine and table grapes. Horticulture Research. 4(1). 17035–17035. 62 indexed citations
8.
Money, Daniel, Zoë Migicovsky, Kyle M. Gardner, & Sean Myles. (2017). LinkImputeR: user-guided genotype calling and imputation for non-model organisms. BMC Genomics. 18(1). 523–523. 31 indexed citations
9.
Gardner, Kyle M., P.M.A. Toivonen, C.R. Hampson, et al.. (2016). QTL analysis of soft scald in two apple populations. Horticulture Research. 3(1). 16043–16043. 12 indexed citations
10.
Migicovsky, Zoë, Kyle M. Gardner, Daniel Money, et al.. (2016). Genome to Phenome Mapping in Apple Using Historical Data. The Plant Genome. 9(2). 78 indexed citations
11.
Sawler, Jason, Jake Stout, Kyle M. Gardner, et al.. (2015). The Genetic Structure of Marijuana and Hemp. PLoS ONE. 10(8). e0133292–e0133292. 209 indexed citations
12.
Myles, Sean, Siraprapa Mahanil, Kyle M. Gardner, et al.. (2015). Genetic mapping in grapevine using SNP microarray intensity values. Molecular Breeding. 35(3). 15 indexed citations
13.
Sawler, Jason, et al.. (2014). Genomics: A potential panacea for the perennial problem. American Journal of Botany. 101(10). 1780–1790. 39 indexed citations
14.
Gardner, Kyle M., Charlene P. Wight, Stephen J. Molnar, et al.. (2012). Quantitative Trait Loci Affecting Oil Content, Oil Composition, and Other Agronomically Important Traits in Oat. The Plant Genome. 5(3). 25 indexed citations
16.
Gardner, Kyle M. & Robert G. Latta. (2008). Heritable variation and genetic correlation of quantitative traits within and between ecotypes ofAvena barbata. Journal of Evolutionary Biology. 21(3). 737–748. 21 indexed citations
17.
Gardner, Kyle M. & Robert G. Latta. (2007). Shared quantitative trait loci underlying the genetic correlation between continuous traits. Molecular Ecology. 16(20). 4195–4209. 84 indexed citations
18.
Gardner, Kyle M. & Robert G. Latta. (2006). Identifying loci under selection across contrasting environments inAvena barbatausing quantitative trait locus mapping. Molecular Ecology. 15(5). 1321–1333. 93 indexed citations
19.
Latta, Robert G., et al.. (2006). Hybridization, recombination, and the genetic basis of fitness variation across environments in Avena barbata. Genetica. 129(2). 167–177. 51 indexed citations
20.
McClelland, Erin E., Kristy Damjanovich, Kyle M. Gardner, et al.. (2004). Infection-dependent phenotypes in MHC-congenic mice are not due to MHC: can we trust congenic animals?. BMC Immunology. 5(1). 14–14. 10 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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