Curry J. Cunningham

2.2k total citations · 1 hit paper
60 papers, 1.5k citations indexed

About

Curry J. Cunningham is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Curry J. Cunningham has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 42 papers in Nature and Landscape Conservation and 23 papers in Ecology. Recurrent topics in Curry J. Cunningham's work include Fish Ecology and Management Studies (42 papers), Marine and fisheries research (41 papers) and Marine Bivalve and Aquaculture Studies (14 papers). Curry J. Cunningham is often cited by papers focused on Fish Ecology and Management Studies (42 papers), Marine and fisheries research (41 papers) and Marine Bivalve and Aquaculture Studies (14 papers). Curry J. Cunningham collaborates with scholars based in United States, Canada and Kenya. Curry J. Cunningham's co-authors include Peter A. H. Westley, Stephanie M. Carlson, Thomas P. Quinn, Milo D. Adkison, Cole C. Monnahan, Michael A. Litzow, Kotaro Ono, Athol R. Whitten, Carey R. McGilliard and Kelli F. Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Curry J. Cunningham

50 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Evolutionary rescue in a changing world

2014 458 citations Stephanie M. Carlson, Curry J. Cunningham et al. Trends in Ecology & Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Curry J. Cunningham United States	18	755	719	629	299	216	60	1.5k
David V. Fairclough Australia	21	743 1.0×	831 1.2×	819 1.3×	166 0.6×	98 0.5×	71	1.5k
J. Ben James United Kingdom	20	707 0.9×	427 0.6×	612 1.0×	151 0.5×	167 0.8×	48	1.1k
Janusz Uchmański Poland	13	411 0.5×	326 0.5×	397 0.6×	167 0.6×	265 1.2×	37	988
Andrew O. Shelton United States	32	1.0k 1.3×	1.3k 1.9×	1.8k 2.9×	144 0.5×	158 0.7×	74	2.8k
Giorgos D. Kokkoris Greece	14	413 0.5×	310 0.4×	560 0.9×	192 0.6×	517 2.4×	25	1.3k
Miguel Pascual Argentina	26	1.2k 1.6×	638 0.9×	1.1k 1.8×	249 0.8×	120 0.6×	76	1.9k
Ryan P. Kovach United States	22	1.2k 1.6×	438 0.6×	991 1.6×	563 1.9×	166 0.8×	49	1.9k
William H. Satterthwaite United States	25	1.2k 1.6×	849 1.2×	804 1.3×	195 0.7×	134 0.6×	77	1.6k
Jian D. L. Yen Australia	17	596 0.8×	192 0.3×	557 0.9×	231 0.8×	223 1.0×	53	1.1k
Melina Kourantidou Denmark	19	408 0.5×	394 0.5×	798 1.3×	69 0.2×	184 0.9×	58	1.4k

Countries citing papers authored by Curry J. Cunningham

Since Specialization

Citations

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

Fields of papers citing papers by Curry J. Cunningham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Curry J. Cunningham

This figure shows the co-authorship network connecting the top 25 collaborators of Curry J. Cunningham. A scholar is included among the top collaborators of Curry J. Cunningham 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 Curry J. Cunningham. Curry J. Cunningham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ohlberger, Jan, et al.. (2025). A Synthesis of Factors Related to Trends in Abundance and Demography of Alaska Chinook Salmon (Oncorhynchus tshawytscha, Salmonidae): Implications for Research, Management, and Policy. Fish and Fisheries. 26(4). 520–532.

Marsh, Craig, et al.. (2025). Panmictic Panacea? Demonstrating Good Practices for Developing Spatial Stock Assessments Through Application to Alaska Sablefish (Anoplopoma fimbria). Fish and Fisheries. 26(5). 825–847.

Cunningham, Curry J., et al.. (2024). Evaluating the performance of a system model in predicting zooplankton dynamics: Insights from the Bering Sea ecosystem. Fisheries Oceanography. 34(1).

Cunningham, Curry J., et al.. (2024). Reliability of trans‐generational genetic mark–recapture (tGMR) for enumerating Pacific salmon. Evolutionary Applications. 17(2). e13647–e13647. 3 indexed citations

Goethel, Daniel R., et al.. (2024). Confronting transitions in fishery fleet structure and selectivity: practical recommendations for integrated age-structured stock assessments based on simulation analysis. Canadian Journal of Fisheries and Aquatic Sciences. 81(12). 1676–1696.

Goethel, Daniel R., et al.. (2024). ‘‘Slim pickings?’’: Extreme large recruitment events may induce density-dependent reductions in growth for Alaska sablefish (Anoplopoma fimbria) with implications for stock assessment. Canadian Journal of Fisheries and Aquatic Sciences. 82. 1–13. 1 indexed citations

Yasumiishi, Ellen M., et al.. (2024). Biological and environmental covariates of juvenile sockeye salmon distribution and abundance in the southeastern Bering Sea, 2002–2018. Ecology and Evolution. 14(4). e11195–e11195.

Shaftel, Rebecca, et al.. (2024). Body size and early marine conditions drive changes in Chinook salmon productivity across northern latitude ecosystems. Global Change Biology. 30(10). e17508–e17508. 3 indexed citations

Langan, Joseph A., Curry J. Cunningham, Jordan T. Watson, & Skip McKinnell. (2024). Opening the black box: New insights into the role of temperature in the marine distributions of Pacific salmon. Fish and Fisheries. 25(4). 551–568. 12 indexed citations

10.

Goethel, Daniel R., et al.. (2024). A mathematical proof comparing the statistical properties between two common approaches for parameterizing sex-composition likelihoods in fishery stock assessments. Fisheries Research. 281. 107231–107231.

11.

Cunningham, Curry J., et al.. (2023). Prior choice and data requirements of Bayesian multivariate hierarchical models fit to tag‐recovery data: The need for power analyses. Ecology and Evolution. 13(3). e9847–e9847. 2 indexed citations

12.

Thorson, James T., et al.. (2023). Unlocking the triad of age, year, and cohort effects for stock assessment: Demonstration of a computationally efficient and reproducible framework using weight-at-age. Fisheries Research. 266. 106755–106755. 4 indexed citations

13.

Schoen, Erik R., et al.. (2023). Kings of the North: Bridging Disciplines to Understand the Effects of Changing Climate on Chinook Salmon in the Arctic–Yukon–Kuskokwim Region. Fisheries. 48(8). 331–343. 5 indexed citations

14.

Dittman, Andrew H., Curry J. Cunningham, & Thomas P. Quinn. (2022). Can unique amino acid profiles guide adult salmon to natal streams? A comparison of streams sampled prior to and after the arrival of adult Pacific salmon. Hydrobiologia. 849(16). 3501–3513. 3 indexed citations

15.

Thorson, James T., et al.. (2020). The surprising sensitivity of index scale to delta-model assumptions: Recommendations for model-based index standardization. Fisheries Research. 233. 105745–105745. 29 indexed citations

16.

Quinn, Thomas P., Curry J. Cunningham, & Aaron J. Wirsing. (2016). Diverse foraging opportunities drive the functional response of local and landscape-scale bear predation on Pacific salmon. Oecologia. 183(2). 415–429. 35 indexed citations

17.

Carlson, Stephanie M., Curry J. Cunningham, & Peter A. H. Westley. (2014). Evolutionary rescue in a changing world. Trends in Ecology & Evolution. 29(9). 521–530. 458 indexed citations breakdown →

18.

Cunningham, Curry J., Gregory T. Ruggerone, & Thomas P. Quinn. (2013). Size Selectivity of Predation by Brown Bears Depends on the Density of Their Sockeye Salmon Prey. The American Naturalist. 181(5). 663–673. 18 indexed citations

19.

Cunningham, Curry J., et al.. (2012). Reconstruction of Bristol Bay sockeye salmon returns using age and genetic composition of catch. The Keio Journal of Medicine. 51 Suppl 2. 51–2. 6 indexed citations

20.

Barja, Juan L., Duncan J. Colquhoun, Curry J. Cunningham, et al.. (2004). Development of a European resource on the origins of pathogens of aquaculture: The Europa Project. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 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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