Christopher Wavell

4 papers receiving 353 citations

Christopher Wavell's Hit Papers

Neither load nor systemic hormones determine resistance training-mediated hypertrophy or strength gains in resistance-trained young men 2016 · 285 citations
2850+3+6Years since publication50100150200250

Peers

Christopher Wavell
Comparison fields: 5 of 56
  • Orthopedics and Sports Medicine 154
  • Complementary and alternative medicine 97
  • Rehabilitation 50
  • Cell Biology 102
  • Health Informatics 5
Replace Olav Vikmoen with:
Olav Vikmoen Norway
Sanmy Rocha Nóbrega Brazil
Rodrigo Araújo Bonetti de Poli Brazil
Vitor Pereira Costa Brazil
Jonathan P. R. Scott United Kingdom
Joshua S. Godwin United States
Jeppe F. Vigh‐Larsen Denmark
Felipe Fedrizzi Donatto Brazil
Eline Lievens Belgium
Alysha C. D’Souza Canada
Christopher Wavell relative to Olav Vikmoen Norway Olav Vikmoen's profile →
Citations per field
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Olav Vikmoen · 1×
Citations per year

Countries citing papers authored by Christopher Wavell

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Wavell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Christopher Wavell, 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 Christopher Wavell Line = papers co-authored together Christopher Wavell links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Neither load nor systemic hormones determine resistance training-mediated hypertrophy or strength gains in resistance-trained young men
Hit paper breakdown →
2016285
2 201651
3 202219
4 20213

About Christopher Wavell

Christopher Wavell is a scholar working on Cell Biology, Molecular Biology, Rehabilitation, Health Informatics and Artificial Intelligence, having authored 4 papers that have together received 358 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Muscle Physiology and Disorders (1 paper), Sports Performance and Training (1 paper), Mechanical Circulatory Support Devices (1 paper), COVID-19 diagnosis using AI (1 paper), Machine Learning in Healthcare (1 paper) and Exercise and Physiological Responses (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (154 citations), Complementary and alternative medicine (97 citations), Rehabilitation (50 citations), Cell Biology (102 citations) and Health Informatics (5 citations). Christopher Wavell has collaborated with scholars based in Canada. Frequent co-authors include Stuart M. Phillips, Steven K. Baker, Robert W. Morton, Joe Quadrilatero, Brittany L. Baechler, Nicole Mazara, Chris McGlory, Sara Y. Oikawa, Sophie Joanisse and Joshua P. Nederveen. Their work appears in journals such as Scientific Data, Canadian Journal of Surgery, Journal of Applied Physiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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