Khai D. Le

421 citations
14 papers · 316 · h-index 12

Impact in

Papers in

    • Fish Ecology and Management Studies 12
    • Ecology and Vegetation Dynamics Studies 1
    • Genetic diversity and population structure 12
    • Genetic and phenotypic traits in livestock 5

Khai D. Le

13 papers receiving 279 citations

Peers

Khai D. Le
Comparison fields: 5 of 25
  • Nature and Landscape Conservation 254
  • Genetics 251
  • Aquatic Science 28
  • Ecology 92
  • Global and Planetary Change 37
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Citations per year

Countries citing papers authored by Khai D. Le

Since Specialization
Citations

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

Fields of papers citing papers by Khai D. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khai D. Le. 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 Khai D. Le. The network helps show where Khai D. Le may publish in the future.

Co-authors

The 16 scholars most cited alongside Khai D. Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Khai D. Le Line = papers co-authored together Khai D. Le links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200053
2 199940
3 200038
4
Population structure of chum salmon (Oncorhynchus keta) across the Pacific Rim, determined from microsatellite analysis
200932
5 200027
6 200520
7 200920
8 200418
9 201218
10
Microsatellite DNA variation and estimation of stock composition of sockeye salmon, Oncorhynchus nerka, in Barkley Sound, British Columbia.
200016
11 200816
12
Determination of population structure and stockcomposition of chum salmon (Oncorhynchus keta)in Russia determined with microsatellites
200812
13 20204
14
Microsatellite stock identification of chum salmon on a Pacific Rim basis and a comparison with single nucleotide polymorphisms (SNPs)
20082

About Khai D. Le

Khai D. Le is a scholar working on Nature and Landscape Conservation, Genetics, Molecular Biology, Ecology and Infectious Diseases, having authored 14 papers that have together received 316 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (12 papers), Genetic diversity and population structure (12 papers), Identification and Quantification in Food (6 papers), Genetic and phenotypic traits in livestock (5 papers), Environmental DNA in Biodiversity Studies (2 papers), Wildlife Ecology and Conservation (2 papers), Rangeland and Wildlife Management (1 paper) and Ecology and Vegetation Dynamics Studies (1 paper). The work is most often cited by research in Nature and Landscape Conservation (254 citations), Genetics (251 citations), Aquatic Science (28 citations), Ecology (92 citations) and Global and Planetary Change (37 citations). Khai D. Le has collaborated with scholars based in Canada, Russia and Japan. Frequent co-authors include Terry D. Beacham, Susan Pollard, Ruth E. Withler, John R. Candy, R. John Nelson, Kristina M. Miller, Michael Wetklo, Colin Wallace, Douglas E. Hay and Kim D. Hyatt. Their work appears in journals such as Canadian Journal of Fisheries and Aquatic Sciences, North American Journal of Fisheries Management, Marine Biotechnology, Fishery Bulletin and Transactions of the American Fisheries Society.

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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