Dylan J. Fraser

7.7k total citations · 1 hit paper
135 papers, 5.6k citations indexed

About

Dylan J. Fraser is a scholar working on Nature and Landscape Conservation, Genetics and Ecology. According to data from OpenAlex, Dylan J. Fraser has authored 135 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Nature and Landscape Conservation, 62 papers in Genetics and 50 papers in Ecology. Recurrent topics in Dylan J. Fraser's work include Fish Ecology and Management Studies (88 papers), Genetic diversity and population structure (51 papers) and Genetic and phenotypic traits in livestock (31 papers). Dylan J. Fraser is often cited by papers focused on Fish Ecology and Management Studies (88 papers), Genetic diversity and population structure (51 papers) and Genetic and phenotypic traits in livestock (31 papers). Dylan J. Fraser collaborates with scholars based in Canada, United States and Norway. Dylan J. Fraser's co-authors include Louis Bernatchez, Jeffrey A. Hutchings, Matthew C. Yates, Michael M. Hansen, Friso Palstra, Alison M. Derry, E. B. Taylor, Jacquelyn L. A. Wood, Aimee Lee S. Houde and James D. Eddington and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Ecology.

In The Last Decade

Dylan J. Fraser

128 papers receiving 5.4k citations

Hit Papers

Adaptive evolutionary conservation: towards a unified con... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dylan J. Fraser Canada 37 3.1k 2.9k 2.2k 963 746 135 5.6k
Eric C. Anderson United States 36 2.0k 0.7× 3.3k 1.1× 1.8k 0.8× 634 0.7× 387 0.5× 103 5.0k
John Carlos Garza United States 34 2.1k 0.7× 3.3k 1.2× 1.7k 0.8× 664 0.7× 442 0.6× 118 4.9k
Michael A. Bell United States 44 2.6k 0.8× 3.5k 1.2× 1.9k 0.9× 672 0.7× 770 1.0× 151 7.1k
W. Stewart Grant United States 40 2.1k 0.7× 3.1k 1.1× 2.3k 1.1× 1.6k 1.7× 1.1k 1.4× 112 5.9k
David A. Tallmon United States 32 1.8k 0.6× 4.0k 1.4× 2.9k 1.3× 876 0.9× 270 0.4× 59 6.2k
Richard Svanbäck Sweden 35 3.3k 1.1× 1.3k 0.4× 4.5k 2.0× 2.0k 2.1× 738 1.0× 68 7.7k
Leif Asbjørn Vøllestad Norway 44 4.8k 1.6× 1.6k 0.6× 2.7k 1.2× 2.1k 2.2× 2.0k 2.6× 210 7.0k
Guillaume Lecointre France 41 2.0k 0.7× 1.4k 0.5× 1.5k 0.7× 589 0.6× 1.1k 1.5× 105 5.6k
Steven Weiss Austria 31 1.8k 0.6× 1.8k 0.6× 1.3k 0.6× 268 0.3× 929 1.2× 115 3.4k
Craig R. Primmer Finland 54 3.4k 1.1× 6.3k 2.2× 3.4k 1.5× 1.4k 1.4× 1.0k 1.4× 211 10.0k

Countries citing papers authored by Dylan J. Fraser

Since Specialization
Citations

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

Fields of papers citing papers by Dylan J. Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan J. Fraser

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan J. Fraser. A scholar is included among the top collaborators of Dylan J. Fraser 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 Dylan J. Fraser. Dylan J. Fraser 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.
Huang, Katherine, Alireza Dehghani-Sanij, Catherine J. Hickson, et al.. (2024). Canada’s Geothermal Energy Update in 2023. Energies. 17(8). 1807–1807. 2 indexed citations
2.
Salisbury, Sarah J., et al.. (2024). Global assessment of effective population sizes: Consistent taxonomic differences in meeting the 50/500 rule. Molecular Ecology. 33(11). e17353–e17353. 27 indexed citations
3.
Fraser, Dylan J., et al.. (2024). Recruitment dynamics of juvenile salmonids: Comparisons among populations and with classic case studies. Journal of Fish Biology. 105(1). 10–22.
4.
Yates, Matthew C., et al.. (2024). Environmental DNA for assessing impact and recovery of aquatic communities in an invaded mountain lake. Lake and Reservoir Management. 40(2). 111–131.
6.
Pedersen, Eric J., et al.. (2023). Macrogenetics reveals multifaceted influences of environmental variation on vertebrate population genetic diversity across the Americas. Molecular Ecology. 32(16). 4557–4569. 2 indexed citations
7.
McCracken, Gregory R., et al.. (2022). Demographic resilience of brook trout populations subjected to experimental size‐selective harvesting. Evolutionary Applications. 15(11). 1792–1805. 3 indexed citations
8.
Grant, James W. A., et al.. (2021). Assessing biodiversity hotspots below the species-level in Canada using designatable units. Global Ecology and Conservation. 26. e01506–e01506. 2 indexed citations
9.
Yates, Matthew C., et al.. (2020). The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling. Molecular Ecology. 30(13). 3068–3082. 95 indexed citations
10.
Bowles, Ella, et al.. (2020). Size reductions and genomic changes within two generations in wild walleye populations: associated with harvest?. Evolutionary Applications. 13(6). 1128–1144. 26 indexed citations
11.
Fraser, Dylan J., et al.. (2020). Latitudinal biodiversity gradients at three levels: Linking species richness, population richness and genetic diversity. Global Ecology and Biogeography. 29(5). 770–788. 53 indexed citations
12.
Brady, Steven P., Daniel I. Bolnick, Amy L. Angert, et al.. (2019). Causes of maladaptation. Evolutionary Applications. 12(7). 1229–1242. 83 indexed citations
13.
Castro‐Santos, Theodore, et al.. (2017). Novel, continuous monitoring of fine‐scale movement using fixed‐position radiotelemetry arrays and random forest location fingerprinting. Methods in Ecology and Evolution. 8(7). 850–859. 17 indexed citations
14.
Barth, Christian, et al.. (1996). Efficient Circularization inEscherichia coliof Linear Plasmid Multimers fromDictyostelium discoideumGenomic DNA. Plasmid. 36(2). 86–94. 5 indexed citations
15.
Fraser, Dylan J., Peter Phillips, & B. K. Thompson. (1993). Environmental preference testing to assess the well-being of animals - an evolving paradigm. Journal of Agricultural and Environmental Ethics. 6. 104–114. 15 indexed citations
16.
Addison, Edward M., et al.. (1993). OBSERVATIONS OF PRE- AND POST-PARTUM BEHAVIOUR OF MOOSE IN CENTRAL ONTARIO. Alces : A Journal Devoted to the Biology and Management of Moose. 29. 27–33. 5 indexed citations
17.
Addison, Edward M., et al.. (1990). CALVING SITES OF MOOSE IN CENTRAL ONTARIO. Alces : A Journal Devoted to the Biology and Management of Moose. 26. 142–153. 19 indexed citations
18.
Addison, Edward M., et al.. (1989). Gray Jays, Perisoreus canadensis, and Common Ravens, Corvus corax, as predators of Winter Ticks, Dermacentor alhipictus. The Canadian Field-Naturalist. 103(3). 406–408. 5 indexed citations
19.
Addison, Edward M., et al.. (1983). RAISING MOOSE CALVES IN ONTARIO. Alces : A Journal Devoted to the Biology and Management of Moose. 19. 246–270. 6 indexed citations
20.
Leaver, J.D., Dylan J. Fraser, & Peter G. Smith. (1980). A farm unit study of two systems of dairying.. Animal Production. 30(3). 473–474. 2 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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