Ming-Ju Lin

758 total citations
11 papers, 584 citations indexed

About

Ming-Ju Lin is a scholar working on Rehabilitation, Orthopedics and Sports Medicine and Complementary and alternative medicine. According to data from OpenAlex, Ming-Ju Lin has authored 11 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rehabilitation, 11 papers in Orthopedics and Sports Medicine and 3 papers in Complementary and alternative medicine. Recurrent topics in Ming-Ju Lin's work include Exercise and Physiological Responses (11 papers), Sports injuries and prevention (9 papers) and Sports Performance and Training (7 papers). Ming-Ju Lin is often cited by papers focused on Exercise and Physiological Responses (11 papers), Sports injuries and prevention (9 papers) and Sports Performance and Training (7 papers). Ming-Ju Lin collaborates with scholars based in Taiwan, Australia and France. Ming-Ju Lin's co-authors include Hsin-Lian Chen, Kazunori Nosaka, Trevor C. Chen, Kuo-Wei Tseng, Alan J. Pearce and Sébastien Ratel and has published in prestigious journals such as Medicine & Science in Sports & Exercise, European Journal of Applied Physiology and Frontiers in Physiology.

In The Last Decade

Ming-Ju Lin

11 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Ju Lin Taiwan 10 471 385 137 80 79 11 584
Hsin-Lian Chen Australia 17 690 1.5× 608 1.6× 235 1.7× 137 1.7× 131 1.7× 22 932
Glen B. Deakin Australia 15 383 0.8× 262 0.7× 172 1.3× 93 1.2× 38 0.5× 32 565
John Jakeman United Kingdom 9 373 0.8× 288 0.7× 142 1.0× 57 0.7× 46 0.6× 18 480
Eduardo Oliveira Portugal 9 411 0.9× 225 0.6× 147 1.1× 95 1.2× 81 1.0× 14 597
Hervé Pournot France 8 287 0.6× 406 1.1× 84 0.6× 59 0.7× 34 0.4× 8 526
R B. Wickham United States 6 333 0.7× 243 0.6× 77 0.6× 76 0.9× 41 0.5× 9 461
Claire Rechichi Australia 8 499 1.1× 97 0.3× 140 1.0× 110 1.4× 127 1.6× 9 593
Michelle Francois United States 11 341 0.7× 137 0.4× 327 2.4× 72 0.9× 80 1.0× 13 572
Dean Burt United Kingdom 10 353 0.7× 215 0.6× 135 1.0× 100 1.3× 36 0.5× 16 444
Greg V. Reeves United States 5 251 0.5× 91 0.2× 181 1.3× 50 0.6× 61 0.8× 5 358

Countries citing papers authored by Ming-Ju Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ju Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Ju Lin. 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 Ming-Ju Lin. The network helps show where Ming-Ju Lin may publish in the future.

Co-authorship network of co-authors of Ming-Ju Lin

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

All Works

11 of 11 papers shown
1.
Lin, Ming-Ju, et al.. (2018). Influence of Maturation Status on Eccentric Exercise-Induced Muscle Damage and the Repeated Bout Effect in Females. Frontiers in Physiology. 8. 1118–1118. 20 indexed citations
2.
Chen, Trevor C., et al.. (2017). Low-intensity elbow flexion eccentric contractions attenuate maximal eccentric exercise-induced muscle damage of the contralateral arm. Journal of science and medicine in sport. 21(10). 1068–1072. 17 indexed citations
3.
Chen, Trevor C., et al.. (2017). Contralateral Repeated Bout Effect of the Knee Flexors. Medicine & Science in Sports & Exercise. 50(3). 542–550. 20 indexed citations
4.
Tseng, Kuo-Wei, et al.. (2016). Protective effect by maximal isometric contractions against maximal eccentric exercise-induced muscle damage of the knee extensors. Research in Sports Medicine. 24(3). 228–241. 22 indexed citations
5.
Chen, Trevor C., et al.. (2013). Effect of two maximal isometric contractions on eccentric exercise-induced muscle damage of the elbow flexors. European Journal of Applied Physiology. 113(6). 1545–1554. 44 indexed citations
6.
Nosaka, Kazunori, et al.. (2010). Effects of Flexibility Training on Eccentric Exercise-Induced Muscle Damage. Medicine & Science in Sports & Exercise. 43(3). 491–500. 74 indexed citations
7.
Chen, Trevor C., et al.. (2010). Comparison in eccentric exercise-induced muscle damage among four limb muscles. European Journal of Applied Physiology. 111(2). 211–223. 180 indexed citations
8.
Chen, Trevor C., et al.. (2010). Potent Protective Effect Conferred by Four Bouts of Low-Intensity Eccentric Exercise. Medicine & Science in Sports & Exercise. 42(5). 1004–1012. 56 indexed citations
9.
Chen, Trevor C., et al.. (2009). Changes in running economy at different intensities following downhill running. Journal of Sports Sciences. 27(11). 1137–1144. 72 indexed citations
10.
Chen, Trevor C., et al.. (2009). Muscle damage responses of the elbow flexors to four maximal eccentric exercise bouts performed every 4 weeks. European Journal of Applied Physiology. 106(2). 267–275. 78 indexed citations
11.
Lin, Ming-Ju, et al.. (2009). Effects of Gradient Variations on Physiological Responses to a 30-minute Run. Journal of Exercise Science & Fitness. 7(2). 85–90. 1 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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