Daniel J. Wilkinson
Impact in
- Cell Biology top 0.2%
- Muscle metabolism and nutrition
- Physiology top 0.5%
- Nutrition and Health in Aging
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
- Cell Biology 86
- Muscle metabolism and nutrition 86
-
- Sports Performance and Training 21
- Co-authors
- Philip J. AthertonKenneth SmithBethan E. PhillipsMathew PiaseckiMatthew S. BrookNathaniel J. SzewczykDavid C. DawsonPaul L. Greenhaff
- Journals
- The Journal of Physiology (9 papers)American Journal of Physiology-Endocrinology and Metabolism (9 papers)Journal of Cachexia Sarcopenia and Muscle (8 papers)Clinical Nutrition (7 papers)Nutrients (6 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Daniel J. Wilkinson
138 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cell Biology 2.3k
- Physiology 2.6k
- Rehabilitation 658
- Orthopedics and Sports Medicine 713
- Geriatrics and Gerontology 160
Countries citing papers authored by Daniel J. Wilkinson
This map shows the geographic impact of Daniel J. Wilkinson'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. Wilkinson 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. Wilkinson more than expected).
Fields of papers citing papers by Daniel J. Wilkinson
This network shows the impact of papers produced by Daniel J. Wilkinson. 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. Wilkinson. The network helps show where Daniel J. Wilkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Wilkinson, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 35 | |
| 8 | 2023 | 26 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 31 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 35 | |
| 18 | 2019 | 17 | |
| 19 | 2017 | 30 | |
| 20 | 2015 | 124 |
About Daniel J. Wilkinson
Daniel J. Wilkinson is a scholar working on Cell Biology, Orthopedics and Sports Medicine, Rehabilitation, Physiology and Aging, having authored 142 papers that have together received 5.7k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (86 papers), Muscle Physiology and Disorders (42 papers), Diet and metabolism studies (30 papers), Nutrition and Health in Aging (24 papers), Sports Performance and Training (21 papers), Exercise and Physiological Responses (17 papers), Adipose Tissue and Metabolism (16 papers) and Cardiovascular and exercise physiology (13 papers). The work is most often cited by research in Cell Biology (2.3k citations), Physiology (2.6k citations), Rehabilitation (658 citations), Orthopedics and Sports Medicine (713 citations) and Geriatrics and Gerontology (160 citations). Daniel J. Wilkinson has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Philip J. Atherton, Kenneth Smith, Bethan E. Phillips, Mathew Piasecki, Matthew S. Brook, Nathaniel J. Szewczyk, David C. Dawson, Paul L. Greenhaff, Debbie Rankin and William K. Mitchell. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Cachexia Sarcopenia and Muscle, Clinical Nutrition and Nutrients.
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.