Daniel J. Plews

3.6k total citations · 1 hit paper
60 papers, 2.7k citations indexed

About

Daniel J. Plews is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel J. Plews has authored 60 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Complementary and alternative medicine, 30 papers in Orthopedics and Sports Medicine and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel J. Plews's work include Sports Performance and Training (30 papers), Cardiovascular and exercise physiology (30 papers) and Muscle metabolism and nutrition (23 papers). Daniel J. Plews is often cited by papers focused on Sports Performance and Training (30 papers), Cardiovascular and exercise physiology (30 papers) and Muscle metabolism and nutrition (23 papers). Daniel J. Plews collaborates with scholars based in New Zealand, Australia and United States. Daniel J. Plews's co-authors include Andrew E. Kilding, Paul B. Laursen, Martin Buchheit, Ed Maunder, Jamie Stanley, Marco Altini, Jeffrey A. Rothschild, B. Scott, Michael R. Esco and David Hadley 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

Daniel J. Plews

58 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Training Adaptation and Heart Rate Variability in Elite Endurance Athletes: Opening the Door to Effective Monitoring

2013 392 citations Daniel J. Plews, Paul B. Laursen et al. Sports Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Plews New Zealand	26	1.4k	1.3k	895	663	620	60	2.7k
Robert P. Lamberts South Africa	28	837 0.6×	1.3k 1.0×	1.5k 1.6×	503 0.8×	372 0.6×	110	2.7k
Laurent Mourot France	29	1.5k 1.0×	1.1k 0.9×	991 1.1×	851 1.3×	305 0.5×	158	2.8k
Saïd Ahmaidi France	28	1.1k 0.7×	1.3k 1.0×	1.5k 1.7×	559 0.8×	314 0.5×	79	3.2k
Arto J. Hautala Finland	31	2.1k 1.5×	1.6k 1.2×	685 0.8×	775 1.2×	479 0.8×	100	3.2k
Todd A. Astorino United States	32	822 0.6×	1.9k 1.5×	1.5k 1.7×	214 0.3×	1.0k 1.7×	171	3.6k
Luiz Fernando Martins Kruel Brazil	35	472 0.3×	1.5k 1.2×	1.8k 2.0×	571 0.9×	1.3k 2.1×	225	3.9k
Michael R. Esco United States	31	1.4k 1.0×	1.2k 1.0×	1.4k 1.5×	755 1.1×	637 1.0×	157	3.0k
Ferdinando Iellamo Italy	35	2.7k 1.8×	1.6k 1.2×	530 0.6×	682 1.0×	749 1.2×	143	4.3k
Gerard Rietjens Netherlands	17	504 0.4×	881 0.7×	1.6k 1.8×	223 0.3×	479 0.8×	32	2.8k
Marco Bonifazi Italy	33	1.1k 0.7×	529 0.4×	1.3k 1.5×	217 0.3×	388 0.6×	120	3.0k

Countries citing papers authored by Daniel J. Plews

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Plews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Plews

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

All Works

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20 of 20 papers shown

Rothschild, Jeffrey A., et al.. (2025). Carbohydrate ingestion during prolonged exercise and net skeletal muscle glycogen utilization: a meta-analysis. Journal of Applied Physiology. 140(1). 76–87.

Rothschild, Jeffrey A., et al.. (2025). Durability of the moderate-to-heavy intensity transition can be predicted using readily available markers of physiological decoupling. European Journal of Applied Physiology. 125(10). 2911–2920. 1 indexed citations

Zinn, Caryn, et al.. (2024). Carbohydrate ingestion during prolonged exercise blunts the reduction in power output at the moderate-to-heavy intensity transition. European Journal of Applied Physiology. 125(5). 1349–1359. 3 indexed citations

Kilding, Andrew E., Daniel J. Plews, Mark Waldron, et al.. (2024). Durability of the moderate-to-heavy-intensity transition is related to the effects of prolonged exercise on severe-intensity performance. European Journal of Applied Physiology. 124(8). 2427–2438. 11 indexed citations

Kilding, Andrew E., et al.. (2023). Prolonged exercise shifts ventilatory parameters at the moderate-to-heavy intensity transition. European Journal of Applied Physiology. 124(1). 309–315. 9 indexed citations

Rothschild, Jeffrey A., Tom Stewart, Andrew E. Kilding, & Daniel J. Plews. (2023). The Influence of Dietary Carbohydrate on Perceived Recovery Status Differs at the Group and Individual Level—Evidence of Nonergodicity Among Endurance Athletes. Journal of Science in Sport and Exercise. 6(4). 394–403. 1 indexed citations

Kilding, Andrew E., et al.. (2022). Prolonged cycling reduces power output at the moderate-to-heavy intensity transition. European Journal of Applied Physiology. 122(12). 2673–2682. 29 indexed citations

James, Lachlan P., et al.. (2022). All the gear: The prevalence and perceived effectiveness of recovery strategies used by triathletes. Performance Enhancement & Health. 10(4). 100235–100235. 7 indexed citations

Maunder, Ed, Daniel J. Plews, Gareth A. Wallis, et al.. (2021). Temperate performance and metabolic adaptations following endurance training performed under environmental heat stress. Physiological Reports. 9(9). e14849–e14849. 17 indexed citations

10.

Maunder, Ed, et al.. (2021). The Importance of ‘Durability’ in the Physiological Profiling of Endurance Athletes. Sports Medicine. 51(8). 1619–1628. 95 indexed citations

11.

Maunder, Ed, Daniel J. Plews, Gareth A. Wallis, et al.. (2021). Peak fat oxidation is positively associated with vastus lateralis CD36 content, fed-state exercise fat oxidation, and endurance performance in trained males. European Journal of Applied Physiology. 122(1). 93–102. 20 indexed citations

12.

Rothschild, Jeffrey A., Hashim Islam, David J. Bishop, et al.. (2021). Factors Influencing AMPK Activation During Cycling Exercise: A Pooled Analysis and Meta-Regression. Sports Medicine. 52(6). 1273–1294. 25 indexed citations

13.

Cipryan, Lukáš, et al.. (2020). Adiponectin/leptin ratio increases after a 12-week very low-carbohydrate, high-fat diet, and exercise training in healthy individuals: A non-randomized, parallel design study. Nutrition Research. 87. 22–30. 20 indexed citations

14.

McSwiney, Fionn T., Lorna Doyle, Daniel J. Plews, & Caryn Zinn. (2019). <p>Impact Of Ketogenic Diet On Athletes: Current Insights</p>. SHILAP Revista de lepidopterología. Volume 10. 171–183. 39 indexed citations

15.

Singh, Nikhil, Kegan Moneghetti, Jeffrey W. Christle, et al.. (2018). Heart Rate Variability: An Old Metric with New Meaning in the Era of using mHealth Technologies for Health and Exercise Training Guidance. Part One: Physiology and Methods. Arrhythmia & Electrophysiology Review. 7(3). 193–193. 103 indexed citations

16.

Maunder, Ed, Daniel J. Plews, & Andrew E. Kilding. (2018). Contextualising Maximal Fat Oxidation During Exercise: Determinants and Normative Values. Frontiers in Physiology. 9. 599–599. 117 indexed citations

17.

Plews, Daniel J., et al.. (2017). The effects of an oral Î²-hydroxybutyrate supplement on exercise metabolism and cycling performance. 6(1). 26–31. 6 indexed citations

18.

Daanen, H.A.M., Koen Levels, Daniel J. Plews, et al.. (2015). Effect of Thermal State and Thermal Comfort on Cycling Performance in the Heat. International Journal of Sports Physiology and Performance. 10(5). 655–663. 47 indexed citations

19.

Plews, Daniel J., Paul B. Laursen, Yannick Le Meur, et al.. (2014). Monitoring Training With Heart-Rate Variability: How Much Compliance Is Needed for Valid Assessment?. International Journal of Sports Physiology and Performance. 9(5). 783–790. 120 indexed citations

20.

Plews, Daniel J., Paul B. Laursen, Jamie Stanley, Andrew E. Kilding, & Martin Buchheit. (2013). Training Adaptation and Heart Rate Variability in Elite Endurance Athletes: Opening the Door to Effective Monitoring. Sports Medicine. 43(9). 773–781. 392 indexed citations breakdown →

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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