Danny Lum

770 total citations
34 papers, 514 citations indexed

About

Danny Lum is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Complementary and alternative medicine. According to data from OpenAlex, Danny Lum has authored 34 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Orthopedics and Sports Medicine, 14 papers in Biomedical Engineering and 10 papers in Complementary and alternative medicine. Recurrent topics in Danny Lum's work include Sports Performance and Training (33 papers), Sports injuries and prevention (28 papers) and Cardiovascular and exercise physiology (10 papers). Danny Lum is often cited by papers focused on Sports Performance and Training (33 papers), Sports injuries and prevention (28 papers) and Cardiovascular and exercise physiology (10 papers). Danny Lum collaborates with scholars based in Singapore, Australia and Portugal. Danny Lum's co-authors include Tiago M. Barbosa, Govindasamy Balasekaran, G. Gregory Haff, Rodrigo Ramírez‐Campillo, Rohit K. Thapa, Jason Moran, Abdul Rashid Aziz, Frankie Tan, Daniel A. Marinho and Grant Landers and has published in prestigious journals such as Scientific Reports, Frontiers in Psychology and The Journal of Strength and Conditioning Research.

In The Last Decade

Danny Lum

30 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Lum Singapore 13 465 211 120 63 31 34 514
Manuel Ortega‐Becerra Spain 9 415 0.9× 165 0.8× 116 1.0× 62 1.0× 29 0.9× 22 445
Jorge M. González-Hernández Spain 13 447 1.0× 218 1.0× 118 1.0× 69 1.1× 40 1.3× 27 539
Travis Erickson United States 9 453 1.0× 187 0.9× 104 0.9× 82 1.3× 25 0.8× 12 477
Panagiotis Veligekas Greece 12 431 0.9× 137 0.6× 132 1.1× 77 1.2× 34 1.1× 16 486
Danica Janićijević Spain 16 590 1.3× 312 1.5× 110 0.9× 89 1.4× 13 0.4× 73 664
Eduardo Villarreal Spain 7 503 1.1× 161 0.8× 166 1.4× 92 1.5× 46 1.5× 11 554
Brandon P Uribe United States 10 338 0.7× 188 0.9× 71 0.6× 36 0.6× 33 1.1× 14 383
Gabriel Andrade Paz Brazil 10 277 0.6× 117 0.6× 94 0.8× 36 0.6× 37 1.2× 64 345
James Zois Australia 12 441 0.9× 116 0.5× 94 0.8× 110 1.7× 28 0.9× 21 470
Andrea M Dayne United States 9 616 1.3× 356 1.7× 67 0.6× 72 1.1× 19 0.6× 14 660

Countries citing papers authored by Danny Lum

Since Specialization
Citations

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

Fields of papers citing papers by Danny Lum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Lum

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

All Works

20 of 20 papers shown
1.
Washif, Jad Adrian, et al.. (2025). Current practices of warm-up during strength training and conditioning based on coaching experience. Sport Sciences for Health. 21(2). 1029–1041. 3 indexed citations
3.
Washif, Jad Adrian, Carl James, Jeffrey Pagaduan, et al.. (2025). Current Periodization, Testing, and Monitoring Practices of Strength and Conditioning Coaches. International Journal of Sports Physiology and Performance. 20(9). 1239–1252.
4.
Wilk, Michał, et al.. (2025). Acute Effects of Isometric Contraction Distribution on Jump Performance in Volleyball Players. Journal of Functional Morphology and Kinesiology. 10(3). 343–343.
5.
Lum, Danny, et al.. (2024). Predicting 1 Repetition Maximum Squat With Peak Force Obtained From Isometric Squat at Multiple Positions. The Journal of Strength and Conditioning Research. 38(9). 1543–1550. 1 indexed citations
7.
Lum, Danny, et al.. (2024). Relationship Between Dynamic Strength Index and Early Force Production of Isometric Mid-Thigh Pull. Journal of Science in Sport and Exercise.
8.
Lum, Danny & Glyn Howatson. (2023). Comparing the Acute Effects of a Session of Isometric Strength Training with Heavy Resistance Training on Neuromuscular Function. Journal of Science in Sport and Exercise. 7(1). 40–49. 6 indexed citations
9.
Lum, Danny, et al.. (2023). Postactivation Performance Enhancement With Maximal Isometric Contraction on Power-Clean Performance Across Multiple Sets. International Journal of Sports Physiology and Performance. 19(3). 265–270. 6 indexed citations
10.
Lum, Danny, et al.. (2022). Effects of Performing Isometric Bench Press Training at Single Versus Multiple Joint Positions on Strength and Power Performance. International Journal of Sports Physiology and Performance. 17(7). 1061–1069. 4 indexed citations
11.
Thapa, Rohit K., Danny Lum, Jason Moran, & Rodrigo Ramírez‐Campillo. (2021). Effects of Complex Training on Sprint, Jump, and Change of Direction Ability of Soccer Players: A Systematic Review and Meta-Analysis. Frontiers in Psychology. 11. 627869–627869. 55 indexed citations
12.
Lum, Danny, Paul Comfort, Tiago M. Barbosa, & Govindasamy Balasekaran. (2021). Comparing the effects of plyometric and isometric strength training on dynamic and isometric force-time characteristics. Biology of Sport. 39(1). 189–197. 13 indexed citations
13.
Lum, Danny, et al.. (2021). Effectiveness of On-Court Resistive Warm-Ups on Change of Direction Speed and Smash Velocity during a Simulated Badminton Match Play in Well-Trained Players. Journal of Functional Morphology and Kinesiology. 6(4). 81–81. 6 indexed citations
14.
Lum, Danny, et al.. (2020). Relationship between isometric force-time characteristics and dynamic performance pre- and post-training. The Journal of Sports Medicine and Physical Fitness. 60(4). 520–526. 11 indexed citations
15.
Barbosa, Tiago M., et al.. (2020). Arm-pull thrust in human swimming and the effect of post-activation potentiation. Scientific Reports. 10(1). 8464–8464. 26 indexed citations
16.
Lum, Danny, G. Gregory Haff, & Tiago M. Barbosa. (2020). The Relationship between Isometric Force-Time Characteristics and Dynamic Performance: A Systematic Review. Sports. 8(5). 63–63. 59 indexed citations
17.
Lum, Danny, et al.. (2019). Human thrust in aquatic environment: The effect of post-activation potentiation on flutter kick. Journal of Advanced Research. 21. 65–70. 18 indexed citations
18.
Lum, Danny. (2016). Effects of Performing Endurance and Strength or Plyometric Training Concurrently on Running Economy and Performance. Strength and conditioning journal. 38(3). 26–35. 6 indexed citations
19.
Lum, Danny, et al.. (2016). Effects of intermittent sprint and plyometric training on endurance running performance. Journal of sport and health science. 8(5). 471–477. 27 indexed citations
20.
Lum, Danny, Grant Landers, & Peter Peeling. (2009). Effects of a Recovery Swim on Subsequent Running Performance. International Journal of Sports Medicine. 31(1). 26–30. 12 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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