Dylan MacKay

2.0k citations
60 papers · 1.2k · h-index 19

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 15
    • Biochemical Analysis and Sensing Techniques 8
    • Fatty Acid Research and Health 4

Dylan MacKay

57 papers receiving 1.2k citations

Peers

Dylan MacKay
Comparison fields: 5 of 106
  • Nutrition and Dietetics 467
  • Endocrine and Autonomic Systems 96
  • Endocrinology, Diabetes and Metabolism 230
  • Surgery 293
  • Sensory Systems 33
Replace Roberto Barbosa Bazotte with:
Roberto Barbosa Bazotte Brazil
Roberto Barbosa Bazotte Brazil
Cécile Vors France
Saad Al-Lahham Palestinian Territory
Robert H. Lerman United States
Anne J. Wanders Netherlands
James Hubert United States
Shyamchand Mayengbam Canada
Mette Axelsen Denmark
Emmanuelle Loizon France
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Citations per field
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Citations per year

Countries citing papers authored by Dylan MacKay

Since Specialization
Citations

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

Fields of papers citing papers by Dylan MacKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan MacKay. 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 Dylan MacKay. The network helps show where Dylan MacKay may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017284
2 202087
3 201176
4 201661
5 201460
6 201250
7 201048
8 201946
9 201445
10 201934
11 201534
12 202329
13 201228
14 201027
15 201123
16 201523
17 202020
18 201219
19 201919
20 202218

About Dylan MacKay

Dylan MacKay is a scholar working on Surgery, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (15 papers), Diabetes Management and Research (9 papers), Biochemical Analysis and Sensing Techniques (8 papers), Diet and metabolism studies (8 papers), Diabetes and associated disorders (6 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Fatty Acid Research and Health (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Nutrition and Dietetics (467 citations), Endocrine and Autonomic Systems (96 citations), Endocrinology, Diabetes and Metabolism (230 citations), Surgery (293 citations) and Sensory Systems (33 citations). Dylan MacKay has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Peter J.H. Jones, James K. Friel, Meghan B. Azad, Michelle Fiander, Leslie Copstein, Brandy Wicklow, Rasheda Rabbani, Ryan Zarychanski, Justin Lys and Bhupendrasinh F Chauhan. Their work appears in journals such as Canadian Journal of Diabetes, Applied Physiology Nutrition and Metabolism, American Journal of Clinical Nutrition, Trials and Canadian Journal of Kidney Health and Disease.

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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