Sally N. Aitken

14.1k citations

111 papers · 9.3k indexed · 5 hit papers · h-index 45

Ecological Modeling top 0.1%
- Species Distribution and Climate Change 27
Nature and Landscape Conservation top 0.1%
- Forest ecology and management 47
- Ecology and Vegetation Dynamics Studies 25
Global and Planetary Change top 0.5%
- Plant Water Relations and Carbon Dynamics 16
Genetics top 0.5%
- Genetic diversity and population structure 37
- Genetic and phenotypic traits in livestock 17
Ecology, Evolution, Behavior and Systematics top 0.5%
Atmospheric Science
- Tree-ring climate responses 17
Ecology
- Forest Insect Ecology and Management 15

Co-authors: Tongli Wang Jason A. Holliday Sam Yeaman Michael C. Whitlock Gregory A. O’Neill Andreas Hamann Jordan B. Bemmels Steven J. Franks
Cited by: Ecological Modeling Nature and Landscape Conservation Global and Planetary Change
Partner nations: Canada United States Australia

In The Last Decade

Sally N. Aitken

111 papers receiving 8.9k citations

Hit Papers

5 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2015 Time to get moving: assisted gene flow of forest trees
2013 Potential for evolutionary responses to climate change – evidence from tree populations
2013 Assisted Gene Flow to Facilitate Local Adaptation to Climate Change
2013 Evolutionary and plastic responses to climate change in terrestrial plant populations
2008 Adaptation, migration or extirpation: climate change outcomes for tree populations

Peers

Countries citing papers authored by Sally N. Aitken

Since Specialization

Citations

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

Fields of papers citing papers by Sally N. Aitken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally N. Aitken. 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 Sally N. Aitken. The network helps show where Sally N. Aitken may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sally N. Aitken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sally N. Aitken Line = papers co-authored together Sally N. Aitken links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	The application of assisted migration as a climate change adaptation tactic: An evidence map and synthesis William M. Twardek,Jessica J. Taylor,Trina Rytwinski,Sally N. Aitken,Alexander L. MacDonald,Rik Van Bogaert,Steven J. Cooke	2023	49
2	Field-testing whitebark pine resistance to white pine blister rust: A simple, effective approach to progeny testing for restoration Iain R. Reid,Charlie Cartwright,Richard A. Sniezko,Richard C. Hamelin,Sally N. Aitken	2023	1
3	Evaluating genomic data for management of local adaptation in a changing climate: A lodgepole pine case study Colin Mahony,Ian MacLachlan,Brandon M. Lind,Jeremy B. Yoder,Tongli Wang,Sally N. Aitken	2019	63
4	Forest genomics: Advancing climate adaptation, forest health, productivity, and conservation Nathalie Isabel,Jason A. Holliday,Sally N. Aitken	2019	83
5	Exploring Approximate Bayesian Computation for inferring recent demographic history with genomic markers in nonmodel species Joane S. Elleouet,Sally N. Aitken	2018	11
6	Modularity of genes involved in local adaptation to climate despite physical linkage Katie E. Lotterhos,Sam Yeaman,Jon Degner,Sally N. Aitken,Kathryn A. Hodgins	2018	39
7	Expression Divergence Is Correlated with Sequence Evolution but Not Positive Selection in Conifers Kathryn A. Hodgins,Sam Yeaman,Kristin A. Nurkowski,Loren H. Rieseberg,Sally N. Aitken	2016	35
8	Genetic architecture and genomic patterns of gene flow between hybridizing species of Picea Amanda R. De La Torre,Pär K. Ingvarsson,Sally N. Aitken	2015	35
9	Potential for evolutionary responses to climate change – evidence from tree populationsbreakdown → Florian Alberto,Sally N. Aitken,Ricardo Alı́a,Santiago C. González‐Martínez,Heikki Hänninen,Antoine Kremer,François Lefèvre,Thomas Lenormand,Sam Yeaman,Ross Whetten,Outi Savolainen	2013	687
10	Metabolic dynamics during autumn cold acclimation within and among populations of Sitka spruce (Picea sitchensis) Rébecca Dauwe,Jason A. Holliday,Sally N. Aitken,Shawn D. Mansfield	2012	48
11	Modeling lodgepole pine radial growth relative to climate and genetics using universal growth-trend response functions Sierra C. McLane,Valerie LeMay,Sally N. Aitken	2011	23
12	Widespread, ecologically relevant genetic markers developed from association mapping of climate‐related traits in Sitka spruce (Picea sitchensis) Jason A. Holliday,Kermit Ritland,Sally N. Aitken	2010	141
13	Local adaptation at the range peripheries of Sitka spruce M. Mimura,Sally N. Aitken	2009	85
14	Adaptation, migration or extirpation: climate change outcomes for tree populationsbreakdown → Sally N. Aitken,Sam Yeaman,Jason A. Holliday,Tongli Wang,Sierra Curtis‐McLane	2008	1573
15	Increased selfing and decreased effective pollen donor number in peripheral relative to central populations in Picea sitchensis (Pinaceae) M. Mimura,Sally N. Aitken	2007	63
16	Adaptive gradients and isolation-by-distance with postglacial migration in Picea sitchensis M. Mimura,Sally N. Aitken	2007	104
17	Height growth determinants in pines: A case study of Pinus contorta and Pinus monticola Isabelle Chuine,Gerald E. Rehfeldt,Sally N. Aitken	2006	2
18	Strong spatial genetic structure in peripheral but not core populations of Sitka spruce [Picea sitchensis (Bong.) Carr.] Washington J. Gapare,Sally N. Aitken	2005	78
19	Evaluating efficacy of early testing for stem growth in coastal Douglas-fir W. T. Adams,Sally N. Aitken,Dennis G. Joyce,Glenn T. Howe,J. Jesús Vargas‐Hernández	2001	14
20	Selection for improved growth and wood density in lodgepole pine: effects on radial patterns of wood variation. Tongli Wang,Sally N. Aitken,Philippe Rozenberg,Frédéric Millie	2000	23

About Sally N. Aitken

Sally N. Aitken is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Genetics, having authored 111 papers that have together received 9.3k indexed citations. Recurring topics across this work include Forest ecology and management (47 papers), Genetic diversity and population structure (37 papers), Species Distribution and Climate Change (27 papers), Ecology and Vegetation Dynamics Studies (25 papers), Tree-ring climate responses (17 papers), Genetic and phenotypic traits in livestock (17 papers), Plant Water Relations and Carbon Dynamics (16 papers) and Forest Insect Ecology and Management (15 papers). The work is most often cited by research in Ecological Modeling (2.4k citations), Nature and Landscape Conservation (4.2k citations) and Global and Planetary Change (3.0k citations). Sally N. Aitken has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Tongli Wang, Jason A. Holliday, Sam Yeaman, Michael C. Whitlock, Gregory A. O’Neill, Andreas Hamann, Jordan B. Bemmels, Steven J. Franks, Jennifer J. Weber and David B. Neale.

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.

Explore authors with similar magnitude of impact