Danielle McCartney

57 papers receiving 1.1k citations

Peers

Danielle McCartney
Comparison fields: 5 of 110
  • Pharmacology 499
  • Toxicology 90
  • Experimental and Cognitive Psychology 186
  • Biological Psychiatry 21
  • Rehabilitation 50
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Y Cassuto Israel
François-Xavier Gamelin France
Alexis B. Peterson United States
N. Sherwood United Kingdom
Aurora J.A.E. van de Loo Netherlands
José Luis Rodríguez Martín Spain
Tharaka L. Dassanayake Sri Lanka
Bong Hyo Lee South Korea
Stella Iacovides South Africa
Sarah Mills United Kingdom
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Citations per year

Countries citing papers authored by Danielle McCartney

Since Specialization
Citations

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

Fields of papers citing papers by Danielle McCartney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021119
2 2017110
3 2020110
4 202272
5 202256
6 201955
7 202048
8 202047
9 201742
10 201442
11 202140
12 201733
13 202232
14 202231
15 202129
16 202124
17 202117
18 201617
19 202116
20 201814

About Danielle McCartney

Danielle McCartney is a scholar working on Pharmacology, Physiology, Experimental and Cognitive Psychology, Public Health, Environmental and Occupational Health and Cell Biology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (23 papers), Sleep and related disorders (11 papers), Muscle metabolism and nutrition (9 papers), Sleep and Wakefulness Research (8 papers), Forensic Toxicology and Drug Analysis (7 papers), Obesity, Physical Activity, Diet (6 papers), Thermoregulation and physiological responses (6 papers) and Coffee research and impacts (4 papers). The work is most often cited by research in Pharmacology (499 citations), Toxicology (90 citations), Experimental and Cognitive Psychology (186 citations), Biological Psychiatry (21 citations) and Rehabilitation (50 citations). Danielle McCartney has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Christopher Irwin, Ben Desbrow, Iain S. McGregor, Thomas R. Arkell, Anastasia Suraev, Saman Khalesi, Ronald R. Grunstein, Camilla M. Hoyos, Melissa J. Benson and Richard C. Kevin. Their work appears in journals such as Sports Medicine - Open, Neuroscience & Biobehavioral Reviews, Drug Testing and Analysis, Applied Physiology Nutrition and Metabolism and International Journal of Food Sciences and Nutrition.

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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