Daniel McCormack

45 papers receiving 424 citations

Peers

Daniel McCormack
Comparison fields: 5 of 57
  • Public Health, Environmental and Occupational Health 131
  • Epidemiology 109
  • Geriatrics and Gerontology 9
  • Hepatology 20
  • Toxicology 7
Replace Hyun-Joong Kim with:
Hyun-Joong Kim South Korea
Grace Malvar United States
Rafael A. Navascués Spain
Brooke Kenney United States
Cynthia Argani United States
Santiago Tomás Spain
Kim Dukes United States
Swapna Munnangi United States
Ella J Marson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel McCormack

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 202047
3 199842
4 202238
5 199528
6 202224
7 202014
8 202011
9 202011
10 202011
11
Normal variants in the paediatric orthopaedic population.
200611
12 202010
13 202110
14 202010
15 20239
16 20219
17 20158
18 20217
19 20237
20 20216

About Daniel McCormack

Daniel McCormack is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Hepatology, having authored 48 papers that have together received 438 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (15 papers), Substance Abuse Treatment and Outcomes (3 papers), Hepatitis C virus research (3 papers), Spinal Cord Injury Research (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Sleep and related disorders (2 papers), HIV, Drug Use, Sexual Risk (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (131 citations), Epidemiology (109 citations), Geriatrics and Gerontology (9 citations), Hepatology (20 citations) and Toxicology (7 citations). Daniel McCormack has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Tara Gomes, Tony Antoniou, Gillian Kolla, Sophie A. Kitchen, Mina Tadrous, David Mulcahy, Angela Jerath, Tonya Campbell, Peter C. Austin and Duminda N. Wijeysundera. Their work appears in journals such as International Journal of Drug Policy, Canadian Medical Association Journal, JAMA Network Open, Drug and Alcohol Dependence and European Child & Adolescent Psychiatry.

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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