Don E. Russell

724 total citations
20 papers, 515 citations indexed

About

Don E. Russell is a scholar working on Ecology, General Health Professions and Genetics. According to data from OpenAlex, Don E. Russell has authored 20 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 12 papers in General Health Professions and 6 papers in Genetics. Recurrent topics in Don E. Russell's work include Indigenous Studies and Ecology (12 papers), Wildlife Ecology and Conservation (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Don E. Russell is often cited by papers focused on Indigenous Studies and Ecology (12 papers), Wildlife Ecology and Conservation (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Don E. Russell collaborates with scholars based in Canada, United States and Norway. Don E. Russell's co-authors include Robert G. White, Chris J. Johnson, K. L. Gerhart, Colin J. Daniel, Anne Gunn, Dominique Berteaux, Paul H. Whitfield, Gary P. Kofinas, Sandra Hamel and Kim G. Poole and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Ecology and Biological Conservation.

In The Last Decade

Don E. Russell

20 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don E. Russell Canada 12 380 258 103 75 40 20 515
Michael A. D. Ferguson Canada 13 253 0.7× 221 0.9× 106 1.0× 62 0.8× 21 0.5× 17 468
Kenneth R. Whitten United States 14 579 1.5× 327 1.3× 130 1.3× 109 1.5× 40 1.0× 22 767
Serge Couturier Canada 15 638 1.7× 204 0.8× 117 1.1× 149 2.0× 54 1.4× 20 793
Christine Cuyler Greenland 14 180 0.5× 95 0.4× 68 0.7× 32 0.4× 47 1.2× 30 358
K. L. Gerhart United States 8 484 1.3× 179 0.7× 62 0.6× 179 2.4× 70 1.8× 12 625
Carsten Riis Olesen Denmark 13 250 0.7× 76 0.3× 43 0.4× 70 0.9× 42 1.1× 21 438
Robert Mulders Canada 15 662 1.7× 131 0.5× 46 0.4× 88 1.2× 59 1.5× 22 777
Thomas R. McCabe United States 10 356 0.9× 88 0.3× 94 0.9× 33 0.4× 21 0.5× 26 489
Knut Langeland Norway 9 236 0.6× 76 0.3× 32 0.3× 50 0.7× 38 0.9× 13 323
Patrick Valkenburg United States 12 488 1.3× 116 0.4× 26 0.3× 75 1.0× 61 1.5× 27 561

Countries citing papers authored by Don E. Russell

Since Specialization
Citations

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

Fields of papers citing papers by Don E. Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don E. Russell. 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 Don E. Russell. The network helps show where Don E. Russell may publish in the future.

Co-authorship network of co-authors of Don E. Russell

This figure shows the co-authorship network connecting the top 25 collaborators of Don E. Russell. A scholar is included among the top collaborators of Don E. Russell 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 Don E. Russell. Don E. Russell 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.
Gagnon, Catherine, et al.. (2023). Climate, caribou and human needs linked by analysis of Indigenous and scientific knowledge. Nature Sustainability. 6(7). 769–779. 7 indexed citations
2.
Gagnon, Catherine, et al.. (2020). Merging indigenous and scientific knowledge links climate with the growth of a large migratory caribou population. Journal of Applied Ecology. 57(9). 1644–1655. 22 indexed citations
3.
Adams, Layne G., et al.. (2019). Evaluation of Maternal Penning to Improve Calf Survival in the Chisana Caribou Herd. 204(1). 5–46. 15 indexed citations
4.
5.
Russell, Don E., Anne Gunn, & Robert G. White. (2015). CircumArctic Collaboration to Monitor Caribou and Wild Reindeer. ARCTIC. 68(5). 6–6. 6 indexed citations
6.
White, Robert G., Don E. Russell, & Colin J. Daniel. (2014). Simulation of maintenance, growth and reproduction of caribou and reindeer as influenced by ecological aspects of nutrition, climate change and industrial development using an energy-protein model. SHILAP Revista de lepidopterología. 34(2). 1–1. 17 indexed citations
7.
Johnson, Chris J. & Don E. Russell. (2014). Long-term distribution responses of a migratory caribou herd to human disturbance. Biological Conservation. 177. 52–63. 45 indexed citations
8.
White, Robert G., Don E. Russell, & Colin J. Daniel. (2013). Modeling energy and protein reserves in support of gestation and lactation: glucose as a limiting metabolite in caribou and reindeer. SHILAP Revista de lepidopterología. 33(2). 167–167. 3 indexed citations
9.
Russell, Don E., et al.. (2013). CARMA’s MERRA-based caribou range climate database. SHILAP Revista de lepidopterología. 33(2). 145–145. 23 indexed citations
10.
Gunn, Anne, Don E. Russell, Colin J. Daniel, Robert G. White, & Gary P. Kofinas. (2013). CARMA’s approach for the collaborative and inter-disciplinary assessment of cumulative effects. SHILAP Revista de lepidopterología. 33(2). 161–161. 3 indexed citations
11.
White, Robert G., Colin J. Daniel, & Don E. Russell. (2013). CARMA’s integrative modeling: historical background of modeling caribou and reindeer biology relevant to development of an energy/protein model. SHILAP Revista de lepidopterología. 33(2). 153–153. 8 indexed citations
12.
Russell, Don E., et al.. (2013). Arctic Borderlands Ecological Knowledge Cooperative: can local knowledge inform caribou management?. SHILAP Revista de lepidopterología. 33(2). 71–71. 10 indexed citations
13.
Russell, Don E., Gary P. Kofinas, Anne Gunn, Robert G. White, & Susan Kutz. (2013). CircumArctic Rangifer monitoring and assessment (CARMA) network – origins, goals, accomplishments and future. SHILAP Revista de lepidopterología. 33(2). 141–141. 2 indexed citations
14.
Alexeev, V. A., et al.. (2013). Long-term patterns of abiotic drivers of mosquito activity within summer ranges of Northern Alaska caribou herds (1979–2009). SHILAP Revista de lepidopterología. 33(2). 173–173. 1 indexed citations
15.
Cuyler, Christine, Robert R. White, Keith P. Lewis, et al.. (2012). Are warbles and bots related to reproductive status in West Greenland caribou?. SHILAP Revista de lepidopterología. 243–257. 15 indexed citations
16.
Russell, Don E., et al.. (2005). Where the wild things are: Seasonal variation in caribou distribution in relation to climate change. SHILAP Revista de lepidopterología. 25(4). 51–51. 16 indexed citations
17.
White, Robert G., et al.. (1999). Comparative body composition strategies of breeding and nonbreeding female caribou. Canadian Journal of Zoology. 77(12). 1901–1907. 62 indexed citations
18.
White, Robert G., et al.. (1999). Comparative body composition strategies of breeding and nonbreeding female caribou. Canadian Journal of Zoology. 77(12). 1901–1907. 16 indexed citations
19.
Russell, Don E., et al.. (1998). Detection of Early Pregnancy in Caribou: Evidence for Embryonic Mortality. Journal of Wildlife Management. 62(3). 1066–1066. 64 indexed citations
20.
Russell, Don E., et al.. (1993). Range Ecology of the Porcupine Caribou Herd in Canada. SHILAP Revista de lepidopterología. 13(5). 1–1. 169 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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