Daniel J. Macqueen

5.1k citations
84 papers · 3.2k · 2 hit papers · h-index 29

Impact in

Papers in

    • Muscle Physiology and Disorders 9
    • Genomics and Phylogenetic Studies 9
    • Aquaculture disease management and microbiota 25
    • interferon and immune responses 5
    • Immune Cell Function and Interaction 5

Daniel J. Macqueen

80 papers receiving 3.2k citations

Daniel J. Macqueen's Hit Papers

Harnessing genomics to fast-track genetic improvement in aquaculture 2020 · 388 citations
3880+5+10Years since publication100200300

Peers

Daniel J. Macqueen
Comparison fields: 5 of 113
  • Aquatic Science 958
  • Immunology 940
  • Physiology 168
  • Genetics 883
  • Ecology 765
Replace Qiong Shi with:
Qiong Shi China
Hong Yu China
Haishen Wen China
Lingfeng Kong China
Xiaowen Sun China
Matthew L. Rise Canada
Zexia Gao China
Marco Saroglia Italy
Ken Overturf United States
Alfredo Molina Chile
Daniel J. Macqueen relative to Qiong Shi China Qiong Shi'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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Growth and the regulation of myotomal muscle mass in teleost fish
Hit paper breakdown →
2011397
2
Harnessing genomics to fast-track genetic improvement in aquaculture
Hit paper breakdown →
2020388
3 2014330
4 2009140
5 2017130
6 201592
7 201390
8 201884
9 202082
10 200880
11 200980
12 201870
13 201955
14 201553
15 201850
16 202147
17 201044
18 201641
19 201139
20 200836

About Daniel J. Macqueen

Daniel J. Macqueen is a scholar working on Molecular Biology, Immunology, Genetics, Ecology and Aquatic Science, having authored 84 papers that have together received 3.2k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (25 papers), Aquaculture Nutrition and Growth (17 papers), Animal Genetics and Reproduction (14 papers), Physiological and biochemical adaptations (10 papers), Muscle Physiology and Disorders (9 papers), Genomics and Phylogenetic Studies (9 papers), interferon and immune responses (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Aquatic Science (958 citations), Immunology (940 citations), Physiology (168 citations), Genetics (883 citations) and Ecology (765 citations). Daniel J. Macqueen has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Ian A. Johnston, Neil I. Bower, Samuel Martín, Daniel García de la serrana, Ross D. Houston, Manu Kumar Gundappa, Diego Robledo, Anthony K. Redmond, Christopher J. Secombes and Tim P. Bean. Their work appears in journals such as Fish & Shellfish Immunology, Scientific Reports, BMC Genomics, Frontiers in Immunology and Molecular Biology and Evolution.

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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