Chris Ray

6.1k total citations · 1 hit paper
81 papers, 4.6k citations indexed

About

Chris Ray is a scholar working on Ecology, Ecological Modeling and Genetics. According to data from OpenAlex, Chris Ray has authored 81 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Ecology, 22 papers in Ecological Modeling and 21 papers in Genetics. Recurrent topics in Chris Ray's work include Wildlife Ecology and Conservation (24 papers), Species Distribution and Climate Change (22 papers) and Animal Ecology and Behavior Studies (21 papers). Chris Ray is often cited by papers focused on Wildlife Ecology and Conservation (24 papers), Species Distribution and Climate Change (22 papers) and Animal Ecology and Behavior Studies (21 papers). Chris Ray collaborates with scholars based in United States, Japan and Canada. Chris Ray's co-authors include Michael E. Gilpin, Martha F. Hoopes, Ilkka Hanski, Sharon K. Collinge, Jennifer L. Wilkening, Erik A. Beever, Alan Hastings, Philip W. Mote, Peter F. Brussard and Dennis D. Murphy and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chris Ray

78 papers receiving 4.3k citations

Hit Papers

Metapopulation Biology: Ecology, Genetics, and Evolution. 1997 2026 2006 2016 1997 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Ray United States 29 2.6k 1.7k 1.2k 1.1k 1.1k 81 4.6k
Robbie A. McDonald United Kingdom 46 4.4k 1.7× 1.1k 0.6× 1.3k 1.1× 647 0.6× 998 0.9× 207 7.0k
Robert Parmenter United States 32 2.5k 1.0× 1.9k 1.1× 744 0.6× 615 0.5× 1.0k 0.9× 79 5.1k
Monica Papeş United States 27 2.4k 0.9× 1.5k 0.9× 751 0.7× 3.0k 2.7× 1.0k 0.9× 92 4.9k
Andrés Lira‐Noriega Mexico 26 2.1k 0.8× 1.5k 0.9× 977 0.8× 2.7k 2.4× 1.2k 1.1× 110 4.7k
Patrick R. Stephens United States 28 1.4k 0.6× 1.5k 0.9× 860 0.7× 1.3k 1.1× 1.4k 1.2× 49 4.0k
Narayani Barve United States 21 1.7k 0.7× 1.4k 0.8× 689 0.6× 2.7k 2.4× 1.0k 0.9× 47 4.0k
Dennis L. Murray Canada 48 5.1k 2.0× 1.2k 0.7× 1.2k 1.1× 1.1k 1.0× 1.4k 1.2× 212 6.8k
Víctor Sánchez‐Cordero Mexico 36 2.0k 0.8× 1.2k 0.7× 417 0.4× 1.9k 1.7× 1.1k 1.0× 138 4.6k
Graham P. Wallis New Zealand 48 1.7k 0.7× 2.0k 1.2× 2.7k 2.3× 664 0.6× 1.2k 1.1× 115 5.3k
Maurício Lima Chile 35 4.2k 1.7× 1.9k 1.1× 619 0.5× 1.2k 1.1× 1.2k 1.1× 115 6.6k

Countries citing papers authored by Chris Ray

Since Specialization
Citations

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

Fields of papers citing papers by Chris Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Ray. 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 Chris Ray. The network helps show where Chris Ray may publish in the future.

Co-authorship network of co-authors of Chris Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Ray. A scholar is included among the top collaborators of Chris Ray 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 Chris Ray. Chris Ray 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.
Ray, Chris, et al.. (2024). Population Trends of the Ferruginous Hawk (Buteo regalis) Wintering in California. Journal of Raptor Research. 58(3).
2.
Saracco, James F., et al.. (2022). Minimum capture-recapture rates and years of banding station operations to obtain reliable adult annual survival estimates. Journal of Field Ornithology. 93(1). 1 indexed citations
3.
Ray, Chris, et al.. (2022). Stress-associated metabolites vary with both season and habitat across populations of a climate sentinel species. Arctic Antarctic and Alpine Research. 54(1). 603–623. 3 indexed citations
4.
Foley, Patrick, et al.. (2017). Rodent–Pika Parasite Spillover in Western North America. Journal of Medical Entomology. 54(5). 1251–1257. 5 indexed citations
5.
He, Kai, Mukesh Kumar Chalise, Chris Ray, et al.. (2016). Multilocus approaches reveal underestimated species diversity and inter-specific gene flow in pikas (Ochotona) from southwestern China. Molecular Phylogenetics and Evolution. 107. 239–245. 30 indexed citations
6.
Wilkening, Jennifer L., et al.. (2015). Alpine biodiversity and assisted migration: the case of the American pika ( Ochotona princeps ). Biodiversity. 16(4). 224–236. 13 indexed citations
7.
Ray, Chris, et al.. (2013). Connecting Long Term Ecological Research to the Classroom: A Partnership Between ScienceLIVE and Niwot Ridge LTER. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
8.
Wilkening, Jennifer L., Chris Ray, & Karen L. Sweazea. (2013). Stress hormone concentration in Rocky Mountain populations of the American pika (Ochotona princeps). Conservation Physiology. 1(1). cot027–cot027. 11 indexed citations
9.
Cassin‐Sackett, Loren, Ryan Jones, Kimberly M. Ballare, et al.. (2011). Connectivity of prairie dog colonies in an altered landscape: inferences from analysis of microsatellite DNA variation. Conservation Genetics. 13(2). 407–418. 25 indexed citations
10.
Ray, Chris, et al.. (2011). On the generality of a climate-mediated shift in the distribution of the American pika (Ochotona princeps). Ecology. 92(9). 1730–1735. 88 indexed citations
11.
Cully, Jack F., Tammi L. Johnson, Sharon K. Collinge, & Chris Ray. (2010). Disease Limits Populations: Plague and Black-Tailed Prairie Dogs. Vector-Borne and Zoonotic Diseases. 10(1). 7–15. 50 indexed citations
12.
Brinkerhoff, R. Jory, et al.. (2010). Rodent and Flea Abundance Fail to Predict a Plague Epizootic in Black-Tailed Prairie Dogs. Vector-Borne and Zoonotic Diseases. 10(1). 47–52. 17 indexed citations
13.
Collinge, Sharon K. & Chris Ray. (2009). Transient patterns in the assembly of vernal pool plant communities. Ecology. 90(12). 3313–3323. 64 indexed citations
14.
Bai, Ying, Michael Kosoy, Andrew Martin, et al.. (2008). Characterization of Bartonella Strains Isolated from Black-Tailed Prairie Dogs ( Cynomys ludovicianus ). Vector-Borne and Zoonotic Diseases. 8(1). 1–6. 46 indexed citations
15.
Brinkerhoff, R. Jory, Sharon K. Collinge, Ying Bai, & Chris Ray. (2008). Are Carnivores Universally Good Sentinels of Plague?. Vector-Borne and Zoonotic Diseases. 9(5). 491–497. 17 indexed citations
16.
Bai, Ying, Michael Kosoy, Chris Ray, R. Jory Brinkerhoff, & Sharon K. Collinge. (2008). Temporal and Spatial Patterns of Bartonella Infection in Black-tailed Prairie Dogs (Cynomys ludovicianus). Microbial Ecology. 56(2). 373–382. 26 indexed citations
17.
Snäll, Tord, Robert B. O’Hara, Chris Ray, & Sharon K. Collinge. (2007). Climate‐Driven Spatial Dynamics of Plague among Prairie Dog Colonies. The American Naturalist. 171(2). 238–248. 73 indexed citations
18.
Ray, Chris. (2006). Soundscapes and the rural: a conceptual review from a British perspective. 1 indexed citations
19.
Ray, Chris & Neil Ward. (2006). The Futures of rural policy: the significance of rural futures studies. 4 indexed citations
20.
Ray, Chris & Martha F. Hoopes. (1997). A Step Toward Synthesizing Metapopulation Biology. Ecology. 78(7). 2270–2271. 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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