Andrew J. Eckert

5.5k total citations · 1 hit paper
66 papers, 3.6k citations indexed

About

Andrew J. Eckert is a scholar working on Genetics, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Andrew J. Eckert has authored 66 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 22 papers in Molecular Biology and 20 papers in Nature and Landscape Conservation. Recurrent topics in Andrew J. Eckert's work include Genetic diversity and population structure (36 papers), Genetic and phenotypic traits in livestock (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Andrew J. Eckert is often cited by papers focused on Genetic diversity and population structure (36 papers), Genetic and phenotypic traits in livestock (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Andrew J. Eckert collaborates with scholars based in United States, Canada and France. Andrew J. Eckert's co-authors include David B. Neale, Jill Wegrzyn, Benjamin D. Hall, Félix Gugerli, Christian Rellstab, Rolf Holderegger, Angela M. Hancock, Santiago C. González‐Martínez, Andrew D. Bower and Victoria L. Sork and has published in prestigious journals such as PLoS ONE, Genetics and New Phytologist.

In The Last Decade

Andrew J. Eckert

64 papers receiving 3.5k citations

Hit Papers

A practical guide to environmental association analysis i... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Eckert United States 29 2.0k 1.0k 953 840 706 66 3.6k
Myriam Heuertz France 33 2.3k 1.1× 805 0.8× 1.1k 1.2× 895 1.1× 1.4k 2.0× 94 3.7k
Anna Palmé Sweden 19 1.9k 0.9× 779 0.8× 923 1.0× 686 0.8× 981 1.4× 44 3.0k
Nathalie Isabel Canada 37 1.2k 0.6× 986 1.0× 1.1k 1.2× 989 1.2× 409 0.6× 99 3.3k
Delphine Grivet Spain 26 2.0k 1.0× 848 0.8× 946 1.0× 944 1.1× 1.3k 1.8× 57 3.5k
C. Alex Buerkle United States 38 3.8k 1.9× 1.3k 1.3× 1.1k 1.1× 965 1.1× 1.5k 2.1× 65 5.4k
Birgit Ziegenhagen Germany 29 1.2k 0.6× 637 0.6× 997 1.0× 684 0.8× 752 1.1× 71 2.5k
Om P. Rajora Canada 32 1.6k 0.8× 858 0.9× 1.2k 1.3× 797 0.9× 579 0.8× 102 3.4k
David B. Lowry United States 32 2.0k 1.0× 1.1k 1.1× 1.8k 1.9× 826 1.0× 1.4k 2.0× 68 4.2k
Dorothy A. Steane Australia 36 1.4k 0.7× 1.0k 1.0× 1.1k 1.1× 1.2k 1.4× 1.6k 2.3× 71 3.8k
Jason A. Holliday United States 22 1.1k 0.6× 513 0.5× 684 0.7× 1.1k 1.3× 462 0.7× 37 3.0k

Countries citing papers authored by Andrew J. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Eckert. 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 Andrew J. Eckert. The network helps show where Andrew J. Eckert may publish in the future.

Co-authorship network of co-authors of Andrew J. Eckert

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Eckert. A scholar is included among the top collaborators of Andrew J. Eckert 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 Andrew J. Eckert. Andrew J. Eckert 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.
Lucey, Noelle, et al.. (2025). Locally Adapted Coral Species Withstand a 2-Week Hypoxic Event. Oceans. 6(1). 5–5.
3.
Lucey, Noelle, et al.. (2024). Coral Community Composition Linked to Hypoxia Exposure. Global Change Biology. 30(10). e17545–e17545. 2 indexed citations
4.
Waring, Kristen M., Mitra Menon, Samuel A. Cushman, et al.. (2020). Morphological Differences in Pinus strobiformis Across Latitudinal and Elevational Gradients. Frontiers in Plant Science. 11. 559697–559697. 14 indexed citations
5.
Landguth, Erin L., Brenna R. Forester, Andrew J. Eckert, et al.. (2019). Modelling multilocus selection in an individual‐based, spatially‐explicit landscape genetics framework. Molecular Ecology Resources. 20(2). 605–615. 15 indexed citations
6.
Menon, Mitra, Erin L. Landguth, Justin C. Bagley, et al.. (2019). Tracing the footprints of a moving hybrid zone under a demographic history of speciation with gene flow. Evolutionary Applications. 13(1). 195–209. 19 indexed citations
7.
Menon, Mitra, Justin C. Bagley, Amy V. Whipple, et al.. (2018). The role of hybridization during ecological divergence of southwestern white pine ( Pinus strobiformis ) and limber pine ( P. flexilis ). Molecular Ecology. 27(5). 1245–1260. 43 indexed citations
8.
Parchman, Thomas L., et al.. (2018). RADseq approaches and applications for forest tree genetics. Tree Genetics & Genomes. 14(3). 57 indexed citations
9.
Lind, Brandon M., Jill Wegrzyn, Patricia E. Maloney, et al.. (2017). Water availability drives signatures of local adaptation in whitebark pine ( Pinus albicaulis Engelm.) across fine spatial scales of the Lake Tahoe Basin, USA. Molecular Ecology. 26(12). 3168–3185. 46 indexed citations
10.
Talbot, Benoit, et al.. (2016). Combining Genotype, Phenotype, and Environment to Infer Potential Candidate Genes. Journal of Heredity. 108(2). esw077–esw077. 23 indexed citations
11.
Eckert, Andrew J., et al.. (2013). Association of loblolly pine xylem development gene expression with single-nucleotide polymorphisms. Tree Physiology. 33(7). 763–774. 14 indexed citations
12.
Mosca, Elena, Andrew J. Eckert, John D Liechty, et al.. (2012). Contrasting patterns of nucleotide diversity for four conifers of Alpine European forests. Evolutionary Applications. 5(7). 762–775. 45 indexed citations
13.
Eckert, Andrew J., et al.. (2012). Spatially variable natural selection and the divergence between parapatric subspecies of lodgepole pine (Pinus contorta, Pinaceae). American Journal of Botany. 99(8). 1323–1334. 22 indexed citations
14.
Cumbie, W. Patrick, Andrew J. Eckert, Jill Wegrzyn, et al.. (2011). Association genetics of carbon isotope discrimination, height and foliar nitrogen in a natural population of Pinus taeda L. Heredity. 107(2). 105–114. 59 indexed citations
15.
Wegrzyn, Jill, Andrew J. Eckert, Min‐Young Choi, et al.. (2010). Association genetics of traits controlling lignin and cellulose biosynthesis in black cottonwood (Populus trichocarpa, Salicaceae) secondary xylem. New Phytologist. 188(2). 515–532. 104 indexed citations
16.
Olmstead, Richard G., Michelle L. Zjhra, Lúcia G. Lohmann, Susan O. Grose, & Andrew J. Eckert. (2009). A molecular phylogeny and classification of Bignoniaceae. American Journal of Botany. 96(9). 1731–1743. 145 indexed citations
17.
Eckert, Andrew J., et al.. (2008). A phylogeographical analysis of the range disjunction for foxtail pine (Pinus balfouriana, Pinaceae): the role of Pleistocene glaciation. Molecular Ecology. 17(8). 1983–1997. 36 indexed citations
18.
Eckert, Andrew J. & Benjamin D. Hall. (2006). Phylogeny, historical biogeography, and patterns of diversification for Pinus (Pinaceae): Phylogenetic tests of fossil-based hypotheses. Molecular Phylogenetics and Evolution. 40(1). 166–182. 157 indexed citations
20.
Moral, Roger del & Andrew J. Eckert. (2005). Colonization of volcanic deserts from productive patches. American Journal of Botany. 92(1). 27–36. 31 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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