Eric S. LaHood

456 total citations
9 papers, 342 citations indexed

About

Eric S. LaHood is a scholar working on Nature and Landscape Conservation, Molecular Biology and Genetics. According to data from OpenAlex, Eric S. LaHood has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nature and Landscape Conservation, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Eric S. LaHood's work include Fish Ecology and Management Studies (6 papers), Identification and Quantification in Food (4 papers) and Reproductive biology and impacts on aquatic species (3 papers). Eric S. LaHood is often cited by papers focused on Fish Ecology and Management Studies (6 papers), Identification and Quantification in Food (4 papers) and Reproductive biology and impacts on aquatic species (3 papers). Eric S. LaHood collaborates with scholars based in United States. Eric S. LaHood's co-authors include Michael J. Ford, Jeffrey J. Hard, Maureen K. Purcell, Harriet R. Huber, Linda Park, Andrew R. Murdoch, David J. Teel, Paul Moran, Steven T. Kalinowski and Todd R. Seamons and has published in prestigious journals such as PLoS ONE, Conservation Biology and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Eric S. LaHood

9 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. LaHood United States 9 234 174 142 75 69 9 342
Langtuo Deng Canada 7 394 1.7× 270 1.6× 173 1.2× 118 1.6× 65 0.9× 7 468
Michel Legault Canada 8 253 1.1× 215 1.2× 132 0.9× 101 1.3× 24 0.3× 12 394
Eric J. Loudenslager United States 12 273 1.2× 202 1.2× 90 0.6× 62 0.8× 39 0.6× 21 367
Michael Wetklo Canada 14 406 1.7× 309 1.8× 128 0.9× 103 1.4× 98 1.4× 16 492
Oscar Nordahl Sweden 10 237 1.0× 128 0.7× 79 0.6× 127 1.7× 50 0.7× 22 340
Yann Czorlich Finland 6 181 0.8× 97 0.6× 84 0.6× 76 1.0× 15 0.2× 8 253
Ewann A. Berntson United States 9 182 0.8× 127 0.7× 197 1.4× 92 1.2× 87 1.3× 14 382
S. Zerunian Italy 6 244 1.0× 69 0.4× 176 1.2× 81 1.1× 35 0.5× 9 406
Lee Stradmeyer United Kingdom 9 308 1.3× 112 0.6× 128 0.9× 107 1.4× 27 0.4× 14 414
Jeff Stephenson United States 7 313 1.3× 230 1.3× 112 0.8× 79 1.1× 65 0.9× 11 394

Countries citing papers authored by Eric S. LaHood

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. LaHood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. LaHood. 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 Eric S. LaHood. The network helps show where Eric S. LaHood may publish in the future.

Co-authorship network of co-authors of Eric S. LaHood

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

All Works

9 of 9 papers shown
1.
Ford, Michael J., et al.. (2016). Broodstock History Strongly Influences Natural Spawning Success in Hatchery Steelhead (Oncorhynchus mykiss). PLoS ONE. 11(10). e0164801–e0164801. 39 indexed citations
2.
Ford, Michael J., et al.. (2008). Estimates of Natural Selection in a Salmon Population in Captive and Natural Environments. Conservation Biology. 22(3). 783–794. 21 indexed citations
3.
LaHood, Eric S., et al.. (2008). A Rapid, Ethanol‐Free Fish Tissue Collection Method for Molecular Genetic Analyses. Transactions of the American Fisheries Society. 137(4). 1104–1107. 33 indexed citations
4.
Ford, Michael J., et al.. (2006). Changes in run timing and natural smolt production in a naturally spawning coho salmon (Oncorhynchus kisutch) population after 60 years of intensive hatchery supplementation. Canadian Journal of Fisheries and Aquatic Sciences. 63(10). 2343–2355. 55 indexed citations
5.
Moran, Paul, et al.. (2006). Standardising multi‐laboratory microsatellite data in Pacific salmon: an historical view of the future. Ecology Of Freshwater Fish. 15(4). 597–605. 41 indexed citations
6.
Devlin, Robert H., Dionne Sakhrani, Jason D. Baker, et al.. (2005). Variation of Y-chromosome DNA markers in Chinook salmon (Oncorhynchus tshawytscha) populations. Canadian Journal of Fisheries and Aquatic Sciences. 62(6). 1386–1399. 28 indexed citations
7.
Purcell, Maureen K., et al.. (2004). Molecular methods for the genetic identification of salmonid prey from Pacific harbor seal (Phoca vitulina richardsi ) scat. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 53 indexed citations
8.
LaHood, Eric S., et al.. (2002). Microsatellite allele ladders in two species of Pacific salmon: preparation and field‐test results. Molecular Ecology Notes. 2(2). 187–190. 30 indexed citations
9.
Berejikian, Barry A., et al.. (2001). Male competition and breeding success in captively reared and wild coho salmon (Oncorhynchus kisutch). Canadian Journal of Fisheries and Aquatic Sciences. 58(4). 804–810. 42 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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