Daniel G. MacArthur
Impact in
- Orthopedics and Sports Medicine top 0.5%
- Sports Performance and Training
- Genetics top 0.1%
- Genetics and Physical Performance
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
Papers in
- Genetics 71
- Genomics and Rare Diseases 34
- Genetics and Physical Performance 23
- Genetic Associations and Epidemiology 13
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- Sports Performance and Training 20
- Co-authors
- Kathryn N. NorthNan YangKonrad J. KarczewskiMonkol LekSimon EastealMark J. DalyAllan G. HahnAlan H. Beggs
- Journals
- Neuromuscular Disorders (13 papers)European Journal of Human Genetics (7 papers)Nature Genetics (6 papers)The American Journal of Human Genetics (5 papers)Human Molecular Genetics (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Daniel G. MacArthur
115 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Orthopedics and Sports Medicine 1.5k
- Genetics 4.7k
- Cardiology and Cardiovascular Medicine 1.8k
- Cell Biology 934
- Molecular Biology 3.9k
Countries citing papers authored by Daniel G. MacArthur
This map shows the geographic impact of Daniel G. MacArthur'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 G. MacArthur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. MacArthur more than expected).
Fields of papers citing papers by Daniel G. MacArthur
This network shows the impact of papers produced by Daniel G. MacArthur. 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 G. MacArthur. The network helps show where Daniel G. MacArthur may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. MacArthur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 44 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 53 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 19 | |
| 9 | 2019 | 64 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 131 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 183 | |
| 14 | 2016 | 14 | |
| 15 | 2011 | 29 | |
| 16 | 2011 | 39 | |
| 17 | 2011 | 84 | |
| 18 | 2007 | 116 | |
| 19 | A gene for speed: the ACTN3 R577X polymorphism influences muscle performance | 2006 | 1 |
| 20 | Genes and Elite Athletes | 2004 | 0 |
About Daniel G. MacArthur
Daniel G. MacArthur is a scholar working on Genetics, Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 118 papers that have together received 8.5k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (34 papers), Muscle Physiology and Disorders (25 papers), Genetics and Physical Performance (23 papers), Sports Performance and Training (20 papers), Cardiovascular Effects of Exercise (14 papers), RNA Research and Splicing (13 papers), Genetic Associations and Epidemiology (13 papers) and Cardiomyopathy and Myosin Studies (12 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.5k citations), Genetics (4.7k citations), Cardiology and Cardiovascular Medicine (1.8k citations), Cell Biology (934 citations) and Molecular Biology (3.9k citations). Daniel G. MacArthur has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Kathryn N. North, Nan Yang, Konrad J. Karczewski, Monkol Lek, Simon Easteal, Mark J. Daly, Allan G. Hahn, Alan H. Beggs, Jason P. Gulbin and Kaitlin E. Samocha. Their work appears in journals such as Neuromuscular Disorders, European Journal of Human Genetics, Nature Genetics, The American Journal of Human Genetics and Human Molecular Genetics.
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.