Doug Biggar

638 citations
14 papers · 284 · h-index 9

Impact in

Papers in

    • Muscle Physiology and Disorders 8
    • RNA Research and Splicing 1
    • Ubiquitin and proteasome pathways 1
    • Neurogenetic and Muscular Disorders Research 2

Doug Biggar

14 papers receiving 269 citations

Peers

Doug Biggar
Comparison fields: 5 of 58
  • Genetics 42
  • Cardiology and Cardiovascular Medicine 58
  • Physiology 12
  • Molecular Biology 175
  • Aging 4
Replace Alvin Ndondo with:
Alvin Ndondo South Africa
Jessica Ascher-Landsberg Israel
Filippo Buccella Italy
Sophie Steiner Germany
N. Lowry Canada
B. Kerem Israel
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Citations per field
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Citations per year

Countries citing papers authored by Doug Biggar

Since Specialization
Citations

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

Fields of papers citing papers by Doug Biggar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doug Biggar. 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 Doug Biggar. The network helps show where Doug Biggar may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201164
2 201041
3 201040
4
Partial deficiency of purine nucleoside phosphorylase: studies of purine and pyrimidine metabolism.
197826
5 201023
6 201521
7 200817
8 200615
9 201815
10 20048
11 20076
12 20055
13 19902
14
The use of infants in drug research when there is no direct benefit to them: a survey of Canadian health care professionals serving on ethics committees.
19881

About Doug Biggar

Doug Biggar is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 284 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (2 papers), Muscle activation and electromyography studies (2 papers), Prosthetics and Rehabilitation Robotics (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Adolescent and Pediatric Healthcare (1 paper), RNA Research and Splicing (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Genetics (42 citations), Cardiology and Cardiovascular Medicine (58 citations), Physiology (12 citations), Molecular Biology (175 citations) and Aging (4 citations). Doug Biggar has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jiri Vajsar, Brian S. Tseng, Maria Luisa Bianchi, Meilan M. Rutter, Kate Bushby, Alan D. Rogol, Cynthia Hawkins, Grace Yoon, Brian W. McCrindle and Hanna Kolski. Their work appears in journals such as Neuromuscular Disorders, Journal of Pediatric Orthopaedics, Pediatric Exercise Science, Health Policy and Neuropathology.

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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