Luke Connolly

584 total citations
18 papers, 417 citations indexed

About

Luke Connolly is a scholar working on Complementary and alternative medicine, Physiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Luke Connolly has authored 18 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Complementary and alternative medicine, 5 papers in Physiology and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Luke Connolly's work include Cardiovascular and exercise physiology (6 papers), Physical Activity and Health (4 papers) and Stroke Rehabilitation and Recovery (3 papers). Luke Connolly is often cited by papers focused on Cardiovascular and exercise physiology (6 papers), Physical Activity and Health (4 papers) and Stroke Rehabilitation and Recovery (3 papers). Luke Connolly collaborates with scholars based in United Kingdom, Denmark and Faroe Islands. Luke Connolly's co-authors include Peter Krustrup, Ulrik Dalgas, Magni Mohr, Pál Weihe, Lars G. Hvid, Jenny Freeman, Jonathan Fulford, Stephen J. Bailey, Andrew M. Jones and Nikolai Baastrup Nordsborg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Luke Connolly

17 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Connolly United Kingdom 13 154 142 141 93 85 18 417
Luis Andreu‐Caravaca Spain 11 60 0.4× 40 0.3× 91 0.6× 32 0.3× 97 1.1× 35 332
Renata Lopes Krüger Canada 12 147 1.0× 91 0.6× 76 0.5× 52 0.6× 25 0.3× 33 372
O Serresse Canada 8 236 1.5× 176 1.2× 139 1.0× 50 0.5× 65 0.8× 10 535
Eliana Tranchita Italy 11 30 0.2× 50 0.4× 89 0.6× 114 1.2× 40 0.5× 35 500
Abdolhamid Habibi Iran 10 56 0.4× 26 0.2× 122 0.9× 19 0.2× 58 0.7× 67 391
Francesco Pinto Boeno Brazil 13 78 0.5× 199 1.4× 159 1.1× 182 2.0× 15 0.2× 43 502
Ramires Alsamir Tibana Brazil 14 180 1.2× 264 1.9× 157 1.1× 164 1.8× 11 0.1× 39 537
Sara Chelland United States 6 150 1.0× 169 1.2× 115 0.8× 75 0.8× 10 0.1× 11 414
Jonathan C. Mcleod Canada 11 130 0.8× 100 0.7× 303 2.1× 42 0.5× 37 0.4× 18 646
Edmund J. Burke United States 11 117 0.8× 94 0.7× 86 0.6× 101 1.1× 40 0.5× 29 424

Countries citing papers authored by Luke Connolly

Since Specialization
Citations

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

Fields of papers citing papers by Luke Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Connolly. A scholar is included among the top collaborators of Luke Connolly 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 Luke Connolly. Luke Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
3.
Gunn, Hilary, et al.. (2023). Co-Creating a Feasible, Acceptable and Safe Home-Based High-Intensity Interval Training Programme for People with Parkinson’s: The HIIT-Home4Parkinson’s Study. International Journal of Environmental Research and Public Health. 20(9). 5671–5671. 4 indexed citations
4.
Gunn, Hilary, et al.. (2023). The feasibility, safety, physiological and clinical effects of high-intensity interval training for people with Parkinson’s: a systematic review and meta-analysis. Aging Clinical and Experimental Research. 35(3). 497–523. 12 indexed citations
5.
Jones, Ray, Lloyd A. Taylor, Hilary Gunn, et al.. (2021). Technologies to Support Assessment of Movement During Video Consultations: Exploratory Study. SHILAP Revista de lepidopterología. 2(3). e30233–e30233. 5 indexed citations
7.
Connolly, Luke, et al.. (2021). Design and Development of a low-cost Inspection UAS prototype for Visual Inspection of Aircraft. Transportation research procedia. 59. 85–94. 1 indexed citations
8.
Connolly, Luke, Jonathan Fulford, Andrew M. Jones, et al.. (2020). Impact of a novel home-based exercise intervention on health indicators in inactive premenopausal women: a 12-week randomised controlled trial. European Journal of Applied Physiology. 120(4). 771–782. 16 indexed citations
9.
Connolly, Luke, et al.. (2020). Adherence and drop-out in randomized controlled trials of exercise interventions in people with multiple sclerosis: A systematic review and meta-analyses. Multiple Sclerosis and Related Disorders. 43. 102169–102169. 43 indexed citations
10.
Weihe, Pál, et al.. (2018). Football training improves metabolic and cardiovascular health status in 55‐ to 70‐year‐old women and men with prediabetes. Scandinavian Journal of Medicine and Science in Sports. 28(S1). 42–51. 24 indexed citations
11.
Blackwell, Jamie R., Christopher Thompson, Paul T. Morgan, et al.. (2018). Lowering of blood pressure after nitrate-rich vegetable consumption is abolished with the co-ingestion of thiocyanate-rich vegetables in healthy normotensive males. Nitric Oxide. 74. 39–46. 26 indexed citations
12.
Connolly, Luke, et al.. (2017). Effects of self-paced interval and continuous training on health markers in women. European Journal of Applied Physiology. 117(11). 2281–2293. 33 indexed citations
13.
Reddy, Peter, Irundika H.K. Dias, Carol Holland, et al.. (2017). Walking football as sustainable exercise for older adults – A pilot investigation. European Journal of Sport Science. 17(5). 638–645. 60 indexed citations
14.
Connolly, Luke, Nikolai Baastrup Nordsborg, Michael Nyberg, et al.. (2016). Low-volume high-intensity swim training is superior to high-volume low-intensity training in relation to insulin sensitivity and glucose control in inactive middle-aged women. European Journal of Applied Physiology. 116(10). 1889–1897. 27 indexed citations
15.
Bowtell, Joanna L., Sarah R. Jackman, Luke Connolly, et al.. (2016). Short Duration Small Sided Football and to a Lesser Extent Whole Body Vibration Exercise Induce Acute Changes in Markers of Bone Turnover. BioMed Research International. 2016. 1–10. 19 indexed citations
16.
Nordsborg, Nikolai Baastrup, Luke Connolly, Pál Weihe, et al.. (2015). Oxidative capacity and glycogen content increase more in arm than leg muscle in sedentary women after intense training. Journal of Applied Physiology. 119(2). 116–123. 33 indexed citations
17.
Krustrup, Peter, Paul S. Bradley, Jesper Frank Christensen, et al.. (2014). The Yo-Yo IE2 Test. Medicine & Science in Sports & Exercise. 47(1). 100–108. 26 indexed citations
18.
Connolly, Luke, Magni Mohr, Ross Julian, et al.. (2014). Effects of small-volume soccer and vibration training on body composition, aerobic fitness, and muscular PCr kinetics for inactive women aged 20–45. Journal of sport and health science. 3(4). 284–292. 21 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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