Daniel J. Ham

1.4k citations
42 papers · 1.1k · h-index 17

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging
    • Diet and metabolism studies

Papers in

Daniel J. Ham

41 papers receiving 1.1k citations

Peers

Daniel J. Ham
Comparison fields: 5 of 95
  • Aging 62
  • Physiology 412
  • Cell Biology 233
  • Occupational Therapy 55
  • Rehabilitation 78
Replace Andy V. Khamoui with:
Andy V. Khamoui United States
Graham Ripley McGinnis United States
Anna C. Kayani United Kingdom
Jens R. Daugaard Denmark
Daniil V. Popov Russia
Brendan M. Gabriel United Kingdom
Paul A. Roberson United States
George R. Marcotte United States
Aivaras Ratkevičius United Kingdom
Christopher G. Vann United States
Daniel J. Ham relative to Andy V. Khamoui United States Andy V. Khamoui's profile →
Citations per field
00.5×2×2.8×
Andy V. Khamoui · 1×
Citations per year

Countries citing papers authored by Daniel J. Ham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel J. Ham Line = papers co-authored together Daniel J. Ham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020143
2 2019111
3 201383
4 202275
5 201474
6 202165
7 201547
8 201741
9 201438
10 201535
11 201631
12 201931
13 200730
14 202230
15 201929
16 202021
17 201818
18 201617
19 201917
20 201817

About Daniel J. Ham

Daniel J. Ham is a scholar working on Cell Biology, Occupational Therapy, Orthopedics and Sports Medicine, Molecular Biology and Physiology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (17 papers), Muscle metabolism and nutrition (10 papers), Occupational Health and Performance (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Adipose Tissue and Metabolism (5 papers), Ergonomics and Musculoskeletal Disorders (4 papers), Sports Performance and Training (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Aging (62 citations), Physiology (412 citations), Cell Biology (233 citations), Occupational Therapy (55 citations) and Rehabilitation (78 citations). Daniel J. Ham has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Gordon Stuart Lynch, René Koopman, Marissa K. Caldow, Markus A. Rüegg, Annabel Chee, Lionel Tintignac, Christoph Handschin, Mihaela Zavolan, Julien Delezie and Nitish Mittal. Their work appears in journals such as The Journal of Strength and Conditioning Research, Clinical Nutrition, Journal of science and medicine in sport, Nature Communications and Communications Biology.

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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