Daniel J. Macqueen

87 papers receiving 3.7k citations

Daniel J. Macqueen's Hit Papers

Harnessing genomics to fast-track genetic improvement in aquaculture 2020 · 448 citations
4480+4+8Years since publication100200300400

Peers

Daniel J. Macqueen
Comparison fields: 5 of 98
  • Aquatic Science 792
  • Immunology 815
  • Physiology 149
  • Genetics 816
  • Molecular Biology 906
Replace Manuel Manchado with:
Manuel Manchado Spain
Yaping Wang China
Matthew L. Rise Canada
Øivind Andersen Norway
Samuel Martín United Kingdom
Yan He China
Anna Wargelius Norway
Yoon Kwon Nam South Korea
Jorge M. O. Fernandes Norway
Xiaowen Sun China
Daniel J. Macqueen relative to Manuel Manchado Spain Manuel Manchado's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Macqueen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Macqueen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Macqueen, 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 Daniel J. Macqueen Line = papers co-authored together Daniel J. Macqueen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Harnessing genomics to fast-track genetic improvement in aquaculture
Hit paper breakdown →
2020448
2 2011413
3
A well-constrained estimate for the timing of the salmonid whole genome duplication reveals major decoupling from species diversification
Hit paper breakdown →
2014363
4 2009146
5 2017141
6 201397
7 201596
8 202096
9 201891
10 200882
11 200982
12 202081
13 201877
14 201776
15 201963
16 201559
17 201858
18 202150
19 201046
20 201144

About Daniel J. Macqueen

Daniel J. Macqueen is a scholar working on Immunology, Aquatic Science, Molecular Biology, Plant Science and Genetics, having authored 93 papers that have together received 3.8k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (25 papers), Chromosomal and Genetic Variations (16 papers), Genomics and Phylogenetic Studies (13 papers), Aquaculture Nutrition and Growth (11 papers), Developmental Biology and Gene Regulation (11 papers), Genetic and phenotypic traits in livestock (9 papers), Muscle Physiology and Disorders (9 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Aquatic Science (792 citations), Immunology (815 citations), Physiology (149 citations), Genetics (816 citations) and Molecular Biology (906 citations). Daniel J. Macqueen has collaborated with scholars based in United Kingdom, Norway and United States. Frequent co-authors include Ian Alistair Johnston, Neil Ivan Bower, Samuel Martín, Daniel García de la serrana, Ross D. Houston, Manu Kumar Gundappa, Diego Robledo, Anthony K. Redmond, Tim P. Bean and Christopher John Secombes. Their work appears in journals such as Fish & Shellfish Immunology, Scientific Reports, BMC Genomics, Molecular Biology and Evolution and Journal of Experimental Biology.

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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