Daniel K. Fox

21 papers receiving 1.4k citations

Peers

Daniel K. Fox
Comparison fields: 5 of 101
  • Physiology 471
  • Geriatrics and Gerontology 61
  • Rehabilitation 118
  • Aging 33
  • Biochemistry 88
Replace Won Jun Lee with:
Won Jun Lee South Korea
Sylviane Métairon Switzerland
Tatsuro Egawa Japan
Meghan Kelly United States
Roger A. Vaughan United States
Noelia Díaz‐Morales Spain
Madhusudhanan Narasimhan United States
Farah S. L. Thong Canada
Katarina Marcinko Canada
Sergio Rius‐Pérez Spain
Daniel K. Fox relative to Won Jun Lee South Korea Won Jun Lee's profile →
Citations per field
00.5×2.8×
Won Jun Lee · 1×
Citations per year

Countries citing papers authored by Daniel K. Fox

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Fox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011286
2 2012189
3 2012175
4 2019130
5 2013113
6 2014109
7 2010107
8 201596
9 201494
10 201447
11 201023
12 202121
13 20235
14 20155
15 20233
16 20122
17 20102
18 20252
19 20212
20 20232

About Daniel K. Fox

Daniel K. Fox is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Surgery and Physiology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Cardiomyopathy and Myosin Studies (5 papers), Adipose Tissue and Metabolism (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Genetic Neurodegenerative Diseases (3 papers), Cardiac pacing and defibrillation studies (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Physiology (471 citations), Geriatrics and Gerontology (61 citations), Rehabilitation (118 citations), Aging (33 citations) and Biochemistry (88 citations). Daniel K. Fox has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Christopher M. Adams, Scott M. Ebert, Kale S. Bongers, Steven D. Kunkel, Michael C. Dyle, Steven A. Bullard, Jason M. Dierdorff, Manish Suneja, Fariborz Alipour and Richard K. Shields. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry, PLoS ONE, The American Journal of Cardiology and Journal of Allergy and Clinical Immunology.

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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