Danielle M. Wigmore

509 total citations
7 papers, 423 citations indexed

About

Danielle M. Wigmore is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Complementary and alternative medicine. According to data from OpenAlex, Danielle M. Wigmore has authored 7 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Orthopedics and Sports Medicine and 3 papers in Complementary and alternative medicine. Recurrent topics in Danielle M. Wigmore's work include Muscle activation and electromyography studies (7 papers), Sports Performance and Training (4 papers) and Cardiovascular and exercise physiology (3 papers). Danielle M. Wigmore is often cited by papers focused on Muscle activation and electromyography studies (7 papers), Sports Performance and Training (4 papers) and Cardiovascular and exercise physiology (3 papers). Danielle M. Wigmore collaborates with scholars based in United States. Danielle M. Wigmore's co-authors include Jane A. Kent‐Braun, Ian R. Lanza, Theodore F. Towse, Graham E. Caldwell, Bruce M. Damon, Douglas E. Befroy, Kathleen J. Propert, David W. Russ, Zhaohua Ding and John C. Gore and has published in prestigious journals such as The Journal of Physiology, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Danielle M. Wigmore

7 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle M. Wigmore United States 7 241 199 146 55 54 7 423
Mitsuharu Inaki Japan 7 260 1.1× 245 1.2× 142 1.0× 45 0.8× 71 1.3× 13 506
Shin-ya Kuno Japan 5 151 0.6× 131 0.7× 38 0.3× 21 0.4× 91 1.7× 6 342
Ashley A. Herda United States 10 114 0.5× 223 1.1× 32 0.2× 27 0.5× 63 1.2× 32 406
R. S. Moussavi United States 10 167 0.7× 99 0.5× 131 0.9× 62 1.1× 37 0.7× 15 451
G Hamilton United States 3 205 0.9× 171 0.9× 46 0.3× 25 0.5× 51 0.9× 5 426
Yoshiho Muraoka Japan 6 105 0.4× 93 0.5× 93 0.6× 94 1.7× 98 1.8× 14 329
Audrius Sniečkus Lithuania 13 80 0.3× 311 1.6× 111 0.8× 67 1.2× 54 1.0× 46 446
André Filipovic Germany 7 291 1.2× 189 0.9× 159 1.1× 34 0.6× 91 1.7× 10 431
Daniel Rama France 8 93 0.4× 230 1.2× 84 0.6× 96 1.7× 41 0.8× 14 427
David Colomer‐Poveda Spain 13 202 0.8× 140 0.7× 104 0.7× 55 1.0× 41 0.8× 28 444

Countries citing papers authored by Danielle M. Wigmore

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Wigmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Wigmore. 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 Danielle M. Wigmore. The network helps show where Danielle M. Wigmore may publish in the future.

Co-authorship network of co-authors of Danielle M. Wigmore

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle M. Wigmore. A scholar is included among the top collaborators of Danielle M. Wigmore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle M. Wigmore. Danielle M. Wigmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Russ, David W., Theodore F. Towse, Danielle M. Wigmore, Ian R. Lanza, & Jane A. Kent‐Braun. (2008). Contrasting Influences of Age and Sex on Muscle Fatigue. Medicine & Science in Sports & Exercise. 40(2). 234–241. 46 indexed citations
2.
Wigmore, Danielle M., Douglas E. Befroy, Ian R. Lanza, & Jane A. Kent‐Braun. (2008). Contraction frequency modulates muscle fatigue and the rate of myoglobin desaturation during incremental contractions in humans. Applied Physiology Nutrition and Metabolism. 33(5). 915–921. 9 indexed citations
3.
Lanza, Ian R., Danielle M. Wigmore, Douglas E. Befroy, & Jane A. Kent‐Braun. (2006). In vivo ATP production during free‐flow and ischaemic muscle contractions in humans. The Journal of Physiology. 577(1). 353–367. 76 indexed citations
4.
Wigmore, Danielle M., Kathleen J. Propert, & Jane A. Kent‐Braun. (2005). Blood flow does not limit skeletal muscle force production during incremental isometric contractions. European Journal of Applied Physiology. 96(4). 370–378. 35 indexed citations
5.
Wigmore, Danielle M., et al.. (2004). MRI measures of perfusion-related changes in human skeletal muscle during progressive contractions. Journal of Applied Physiology. 97(6). 2385–2394. 78 indexed citations
6.
Damon, Bruce M., Danielle M. Wigmore, Zhaohua Ding, John C. Gore, & Jane A. Kent‐Braun. (2003). Cluster analysis of muscle functional MRI data. Journal of Applied Physiology. 95(3). 1287–1296. 12 indexed citations
7.
Lanza, Ian R., Theodore F. Towse, Graham E. Caldwell, Danielle M. Wigmore, & Jane A. Kent‐Braun. (2003). Effects of age on human muscle torque, velocity, and power in two muscle groups. Journal of Applied Physiology. 95(6). 2361–2369. 167 indexed citations

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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