Allison K. Shaw

2.7k total citations
75 papers, 1.7k citations indexed

About

Allison K. Shaw is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Allison K. Shaw has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, 30 papers in Genetics and 29 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Allison K. Shaw's work include Evolution and Genetic Dynamics (28 papers), Plant and animal studies (16 papers) and Ecology and Vegetation Dynamics Studies (16 papers). Allison K. Shaw is often cited by papers focused on Evolution and Genetic Dynamics (28 papers), Plant and animal studies (16 papers) and Ecology and Vegetation Dynamics Studies (16 papers). Allison K. Shaw collaborates with scholars based in United States, Australia and Canada. Allison K. Shaw's co-authors include Sandra A. Binning, Daniel E. Stanton, Simon A. Levin, Hanna Kokko, Michael G. Neubert, Iain D. Couzin, Tom E. X. Miller, Dominique G. Roche, Aaron L. Halpern and Karen Beeson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Allison K. Shaw

72 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison K. Shaw United States 21 901 475 394 348 238 75 1.7k
Nyeema C. Harris United States 21 1.1k 1.3× 430 0.9× 371 0.9× 357 1.0× 479 2.0× 50 2.4k
Tad Dallas United States 23 807 0.9× 392 0.8× 394 1.0× 335 1.0× 104 0.4× 74 1.6k
Kiyoko M. Gotanda Canada 17 715 0.8× 683 1.4× 377 1.0× 417 1.2× 377 1.6× 35 1.7k
Neil D’Cruze United Kingdom 27 1.1k 1.2× 188 0.4× 655 1.7× 412 1.2× 237 1.0× 98 2.1k
Greg Baxter Australia 26 1.3k 1.4× 220 0.5× 402 1.0× 471 1.4× 425 1.8× 78 2.1k
R. Justin Irvine United Kingdom 33 2.0k 2.2× 482 1.0× 450 1.1× 217 0.6× 308 1.3× 77 3.0k
Samantha E. Forde United States 16 641 0.7× 411 0.9× 832 2.1× 282 0.8× 154 0.6× 19 1.6k
John Hart United States 21 1.2k 1.4× 350 0.7× 232 0.6× 397 1.1× 373 1.6× 62 2.3k
Stephan M. Funk United Kingdom 27 1.3k 1.5× 486 1.0× 1.0k 2.6× 180 0.5× 216 0.9× 76 2.4k
Donald J. Brightsmith United States 28 1.2k 1.4× 461 1.0× 235 0.6× 848 2.4× 183 0.8× 85 2.1k

Countries citing papers authored by Allison K. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Allison K. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison K. Shaw. 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 Allison K. Shaw. The network helps show where Allison K. Shaw may publish in the future.

Co-authorship network of co-authors of Allison K. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Allison K. Shaw. A scholar is included among the top collaborators of Allison K. Shaw 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 Allison K. Shaw. Allison K. Shaw 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.
Lutz, Peter, et al.. (2025). Coexistence of coinvading species with mutualism and competition. Ecology. 106(2). e70039–e70039. 1 indexed citations
4.
Shaw, Allison K., et al.. (2024). Six personas to adopt when framing theoretical research questions in biology. Proceedings of the Royal Society B Biological Sciences. 291(2031). 20240803–20240803. 1 indexed citations
5.
Shaw, Allison K., et al.. (2023). A unified evolutionary framework for understanding parasite infection and host migratory behaviour. Ecology Letters. 26(11). 1987–2002. 6 indexed citations
6.
Shaw, Allison K., et al.. (2023). Gaps in modelling animal migration with evolutionary game theory: infection can favour the loss of migration. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1876). 20210506–20210506. 1 indexed citations
7.
Weiss‐Lehman, Christopher & Allison K. Shaw. (2022). Understanding the drivers of dispersal evolution in range expansions and their ecological consequences. Evolutionary Ecology. 36(2). 181–197. 7 indexed citations
8.
Shaw, Allison K., Lauren A. White, Matthew J. Smith, et al.. (2021). Lessons from movement ecology for the return to work: Modeling contacts and the spread of COVID-19. PLoS ONE. 16(1). e0242955–e0242955. 5 indexed citations
9.
Shaw, Allison K., et al.. (2020). Stochasticity in social structure and mating system drive extinction risk. Ecosphere. 11(2). 8 indexed citations
10.
Miller, Tom E. X., Amy L. Angert, Carissa D. Brown, et al.. (2020). Eco‐evolutionary dynamics of range expansion. Ecology. 101(10). e03139–e03139. 76 indexed citations
11.
Sullivan, Lauren L., et al.. (2020). Consequences of ignoring dispersal variation in network models for landscape connectivity. Conservation Biology. 35(3). 944–954. 13 indexed citations
12.
Chacón, Jeremy M., Allison K. Shaw, & William R. Harcombe. (2020). Increasing growth rate slows adaptation when genotypes compete for diffusing resources. PLoS Computational Biology. 16(1). e1007585–e1007585. 10 indexed citations
13.
Shaw, Allison K., et al.. (2019). Modeling Approach Influences Dynamics of a Vector-Borne Pathogen System. Bulletin of Mathematical Biology. 81(6). 2011–2028. 18 indexed citations
14.
Sullivan, Lauren L., Bingtuan Li, Tom E. X. Miller, Michael G. Neubert, & Allison K. Shaw. (2017). Density dependence in demography and dispersal generates fluctuating invasion speeds. Proceedings of the National Academy of Sciences. 114(19). 5053–5058. 48 indexed citations
15.
Binning, Sandra A., Allison K. Shaw, & Dominique G. Roche. (2017). Parasites and Host Performance: Incorporating Infection into Our Understanding of Animal Movement. Integrative and Comparative Biology. 57(2). 267–280. 80 indexed citations
16.
Shaw, Allison K. & Hanna Kokko. (2015). Dispersal Evolution in the Presence of Allee Effects Can Speed Up or Slow Down Invasions. The American Naturalist. 185(5). 631–639. 27 indexed citations
17.
Shaw, Allison K. & Daniel E. Stanton. (2012). Leaks in the pipeline: separating demographic inertia from ongoing gender differences in academia. Proceedings of the Royal Society B Biological Sciences. 279(1743). 3736–3741. 122 indexed citations
18.
Shaw, Allison K. & Iain D. Couzin. (2012). Migration or Residency? The Evolution of Movement Behavior and Information Usage in Seasonal Environments. The American Naturalist. 181(1). 114–124. 70 indexed citations
19.
Shaw, Allison K. & Simon A. Levin. (2012). The evolution of intermittent breeding. Journal of Mathematical Biology. 66(4-5). 685–703. 47 indexed citations
20.
Miller, Tom E. X., Allison K. Shaw, Brian D. Inouye, & Michael G. Neubert. (2011). Sex-Biased Dispersal and the Speed of Two-Sex Invasions. The American Naturalist. 177(5). 549–561. 63 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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