Daniel J. Ham
Impact in
- Aging top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Diet and metabolism studies
Papers in
-
- Muscle Physiology and Disorders 17
- Cell Biology 14
- Muscle metabolism and nutrition 12
- Co-authors
- Gordon S. Lynch (14 shared papers)René Koopman (13 shared papers)Marissa K. Caldow (10 shared papers)Markus A. Rüegg (11 shared papers)Annabel Chee (7 shared papers)Lionel Tintignac (7 shared papers)Christoph Handschin (3 shared papers)Julien Delezie (3 shared papers)
- Journals
- The Journal of Strength and Conditioning Research (5 papers)Clinical Nutrition (4 papers)Nature Communications (3 papers)Communications Biology (3 papers)Journal of science and medicine in sport (3 papers)
- Partner nations
- AustraliaSwitzerlandUnited Kingdom
In The Last Decade
Daniel J. Ham
41 papers receiving 953 citations
Peers
Comparison fields: 5 of 93
- Aging 54
- Physiology 450
- Cell Biology 263
- Occupational Therapy 64
- Rehabilitation 94
Countries citing papers authored by Daniel J. Ham
This map shows the geographic impact of Daniel J. Ham'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. Ham 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. Ham more than expected).
Fields of papers citing papers by Daniel J. Ham
This network shows the impact of papers produced by Daniel J. Ham. 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. Ham. The network helps show where Daniel J. Ham may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Ham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2019 | 106 | |
| 3 | 2013 | 80 | |
| 4 | 2014 | 69 | |
| 5 | 2022 | 58 | |
| 6 | 2021 | 53 | |
| 7 | 2015 | 46 | |
| 8 | 2017 | 38 | |
| 9 | 2014 | 36 | |
| 10 | 2019 | 31 | |
| 11 | 2007 | 30 | |
| 12 | 2019 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2016 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2020 | 21 | |
| 17 | 2019 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2015 | 15 | |
| 20 | 2018 | 15 |
About Daniel J. Ham
Daniel J. Ham is a scholar working on Molecular Biology, Cell Biology, Physiology, Occupational Therapy and Pharmacology, having authored 42 papers that have together received 967 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (17 papers), Muscle metabolism and nutrition (12 papers), Occupational Health and Performance (8 papers), Musculoskeletal pain and rehabilitation (8 papers), Adipose Tissue and Metabolism (7 papers), Ergonomics and Musculoskeletal Disorders (5 papers), Sports Performance and Training (4 papers) and Exercise and Physiological Responses (4 papers). The work is most often cited by research in Aging (54 citations), Physiology (450 citations), Cell Biology (263 citations), Occupational Therapy (64 citations) and Rehabilitation (94 citations). Daniel J. Ham has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Gordon S. Lynch, René Koopman, Marissa K. Caldow, Markus A. Rüegg, Annabel Chee, Lionel Tintignac, Christoph Handschin, Julien Delezie, Nitish Mittal and Mihaela Zavolan. Their work appears in journals such as The Journal of Strength and Conditioning Research, Clinical Nutrition, Nature Communications, Communications Biology and Journal of science and medicine in sport.
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.