Eric J. Kretschmer

434 total citations
11 papers, 363 citations indexed

About

Eric J. Kretschmer is a scholar working on Genetics, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Eric J. Kretschmer has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 5 papers in Nature and Landscape Conservation and 3 papers in Molecular Biology. Recurrent topics in Eric J. Kretschmer's work include Genetic diversity and population structure (10 papers), Genetic and phenotypic traits in livestock (5 papers) and Fish Ecology and Management Studies (5 papers). Eric J. Kretschmer is often cited by papers focused on Genetic diversity and population structure (10 papers), Genetic and phenotypic traits in livestock (5 papers) and Fish Ecology and Management Studies (5 papers). Eric J. Kretschmer collaborates with scholars based in United States and Canada. Eric J. Kretschmer's co-authors include Jeffrey B. Olsen, James E. Seeb, John K. Wenburg, Kenneth C. Jones, Douglas T. Fleming, Christopher Habicht, Paul Spruell, F W Allendorf, Penelope A. Crane and William J. Spearman and has published in prestigious journals such as Molecular Ecology, Genome and North American Journal of Fisheries Management.

In The Last Decade

Eric J. Kretschmer

11 papers receiving 346 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 J. Kretschmer United States 7 295 251 88 71 48 11 363
Paul B. Aebersold United States 7 249 0.8× 217 0.9× 72 0.8× 67 0.9× 66 1.4× 7 338
А. Е. Барминцева Russia 9 211 0.7× 164 0.7× 68 0.8× 82 1.2× 99 2.1× 26 327
Paolo Ruggeri Italy 13 211 0.7× 141 0.6× 73 0.8× 113 1.6× 82 1.7× 22 329
Вл. А. Брыков Russia 12 299 1.0× 208 0.8× 50 0.6× 168 2.4× 118 2.5× 38 387
Sang-Rin Jeon Japan 13 216 0.7× 218 0.9× 95 1.1× 138 1.9× 178 3.7× 24 385
Susan Pollard Canada 12 506 1.7× 500 2.0× 200 2.3× 88 1.2× 108 2.3× 13 609
Michael W. Ackerman United States 11 337 1.1× 358 1.4× 168 1.9× 78 1.1× 76 1.6× 18 478
David T. Ashton New Zealand 9 181 0.6× 103 0.4× 87 1.0× 107 1.5× 96 2.0× 12 318
Megan R. McCusker Canada 9 237 0.8× 233 0.9× 138 1.6× 158 2.2× 91 1.9× 11 393
Andrea Splendiani Italy 10 197 0.7× 198 0.8× 60 0.7× 84 1.2× 110 2.3× 27 313

Countries citing papers authored by Eric J. Kretschmer

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Kretschmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric J. Kretschmer

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

All Works

11 of 11 papers shown
1.
Beacham, Terry D., et al.. (2010). Mixed-Stock Analysis of Yukon River Chum Salmon: Application and Validation in a Complex Fishery. North American Journal of Fisheries Management. 30(5). 1324–1338. 16 indexed citations
2.
Kretschmer, Eric J., Jeffrey B. Olsen, & John K. Wenburg. (2008). Characterization of eight microsatellite loci in Sea Otter, Enhydra lutris, and cross-species amplification in other Mustelidae. Conservation Genetics. 10(3). 775–777. 5 indexed citations
3.
Olsen, Jeffrey B., et al.. (2006). Evidence of partial anadromy and resident-form dispersal bias on a fine scale in populations of Oncorhynchus mykiss. Conservation Genetics. 7(4). 613–619. 60 indexed citations
4.
Kretschmer, Eric J., et al.. (2006). U.S. Fish and Wildlife Service Office of Subsistence Management Fisheries Resource Monitoring Program. 1 indexed citations
6.
Nielsen, Jennifer L., et al.. (2003). Population genetic structure of Santa Ynez rainbow trout – 2001 based on microsatellite and mtDNA analyses. 4 indexed citations
7.
Olsen, Jeffrey B., et al.. (2002). Characterization of 14 tetranucleotide microsatellite loci derived from Pacific herring. Molecular Ecology Notes. 2(2). 101–103. 42 indexed citations
8.
Seeb, Lisa W., Eric J. Kretschmer, Jeffrey B. Olsen, et al.. (2002). Development of microsatellite loci in red king crab (Paralithodes camtschaticus). Molecular Ecology Notes. 2(2). 137–138. 5 indexed citations
9.
Seeb, James E., et al.. (2000). Gene-centromere mapping of 312 loci in pink salmon by half-tetrad analysis. Genome. 43(3). 538–549. 61 indexed citations
10.
Olsen, Jeffrey B., et al.. (2000). Characterization of 14 tetranucleotide microsatellite loci derived from sockeye salmon. Molecular Ecology. 9(12). 2185–2187. 108 indexed citations
11.
Seeb, James E., et al.. (2000). Gene-centromere mapping of 312 loci in pink salmon by half-tetrad analysis. Genome. 43(3). 538–549. 7 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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