Pavle Mikulić

3.4k total citations · 1 hit paper
94 papers, 2.5k citations indexed

About

Pavle Mikulić is a scholar working on Orthopedics and Sports Medicine, Electrical and Electronic Engineering and Cell Biology. According to data from OpenAlex, Pavle Mikulić has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Orthopedics and Sports Medicine, 24 papers in Electrical and Electronic Engineering and 20 papers in Cell Biology. Recurrent topics in Pavle Mikulić's work include Sports Performance and Training (42 papers), Advanced Fiber Optic Sensors (24 papers) and Sports injuries and prevention (24 papers). Pavle Mikulić is often cited by papers focused on Sports Performance and Training (42 papers), Advanced Fiber Optic Sensors (24 papers) and Sports injuries and prevention (24 papers). Pavle Mikulić collaborates with scholars based in Croatia, Australia and Canada. Pavle Mikulić's co-authors include Jozo Grgić, Goran Marković, Brad J. Schöenfeld, Wojtek J. Bock, Željko Pedišić, Mark L. Latash, Mateusz Śmietana, Miriam Klous, David J. Bishop and Tinko Eftimov and has published in prestigious journals such as Journal of Neurophysiology, Medicine & Science in Sports & Exercise and Sports Medicine.

In The Last Decade

Pavle Mikulić

88 papers receiving 2.4k citations

Hit Papers

Neuro-Musculoskeletal and... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavle Mikulić Croatia 29 1.3k 568 478 462 446 94 2.5k
Dave Smith United Kingdom 30 917 0.7× 223 0.4× 485 1.0× 194 0.4× 194 0.4× 68 2.2k
James M. Carter United States 17 551 0.4× 617 1.1× 55 0.1× 286 0.6× 150 0.3× 40 1.6k
Edward P. Debold United States 24 313 0.2× 289 0.5× 25 0.1× 406 0.9× 425 1.0× 44 2.1k
Petr Šťastný Czechia 24 1.4k 1.0× 127 0.2× 85 0.2× 550 1.2× 445 1.0× 143 2.0k
Kyle T. Ebersole United States 26 1.4k 1.0× 124 0.2× 105 0.2× 1.2k 2.6× 164 0.4× 94 2.0k
SarahJane Cullen Ireland 17 313 0.2× 96 0.2× 64 0.1× 90 0.2× 17 0.0× 41 984
Stephen C. Johnson United States 18 143 0.1× 41 0.1× 100 0.2× 593 1.3× 61 0.1× 40 1.5k
Dean P. Currier United States 19 309 0.2× 43 0.1× 106 0.2× 593 1.3× 81 0.2× 51 1.2k
Hung‐Yu Lin Taiwan 16 92 0.1× 57 0.1× 107 0.2× 83 0.2× 19 0.0× 40 706
Gerald D. Tharp United States 17 349 0.3× 128 0.2× 18 0.0× 109 0.2× 96 0.2× 32 894

Countries citing papers authored by Pavle Mikulić

Since Specialization
Citations

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

Fields of papers citing papers by Pavle Mikulić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavle Mikulić

This figure shows the co-authorship network connecting the top 25 collaborators of Pavle Mikulić. A scholar is included among the top collaborators of Pavle Mikulić 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 Pavle Mikulić. Pavle Mikulić 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.
Schöenfeld, Brad J., et al.. (2025). Does Muscle Length Influence Regional Hypertrophy? A Systematic Review and Meta-Analysis. International Journal of Sports Medicine. 46(14). 1027–1036.
2.
Androulakis‐Korakakis, Patroklos, et al.. (2025). The effects of long muscle length isometric versus full range of motion isotonic training on regional quadriceps femoris hypertrophy in resistance-trained individuals. Applied Physiology Nutrition and Metabolism. 50. 1–14.
3.
Mikulić, Pavle, et al.. (2024). The Physiological and Performance Development of Two Multiple Olympic Champion Rowers: A 20-Year Follow-Up Study. Medicine & Science in Sports & Exercise. 56(11). 2211–2219. 1 indexed citations
4.
Grgić, Jozo, et al.. (2024). Caffeine, but not paracetamol (acetaminophen), enhances muscular endurance, strength, and power. Journal of the International Society of Sports Nutrition. 21(1). 2400513–2400513. 5 indexed citations
5.
Grgić, Jozo, et al.. (2022). Examining the Effects of Caffeine on Isokinetic Strength, Power, and Endurance. Journal of Functional Morphology and Kinesiology. 7(4). 71–71. 5 indexed citations
6.
Grgić, Jozo, Josip Mikulić, & Pavle Mikulić. (2022). Negative Effects of Mental Fatigue on Performance in the Yo-Yo Test, Loughborough Soccer Passing and Shooting Tests: A Meta-Analysis. Journal of Functional Morphology and Kinesiology. 7(1). 10–10. 20 indexed citations
7.
Grgić, Jozo, Josip Mikulić, & Pavle Mikulić. (2021). Acute and Long-Term Effects of Attentional Focus Strategies on Muscular Strength: A Meta-Analysis. Sports. 9(11). 153–153. 13 indexed citations
8.
Grgić, Jozo & Pavle Mikulić. (2021). Effects of caffeine on rate of force development: A meta‐analysis. Scandinavian Journal of Medicine and Science in Sports. 32(4). 644–653. 18 indexed citations
9.
Šarabon, Nejc, et al.. (2020). Effects of 8-Week Jump Training Program on Sprint and Jump Performance and Leg Strength in Pre- and Post-Peak Height Velocity Aged Boys. Journal of Sports Science and Medicine. 19(3). 547–555. 13 indexed citations
10.
Grgić, Jozo, Javier Díaz‐Lara, Juan Del Coso, et al.. (2020). The Effects of Caffeine Ingestion on Measures of Rowing Performance: A Systematic Review and Meta-Analysis. Nutrients. 12(2). 434–434. 18 indexed citations
11.
Grgić, Jozo, Brad J. Schöenfeld, & Pavle Mikulić. (2020). Effects of plyometric vs. resistance training on skeletal muscle hypertrophy: A review. Journal of sport and health science. 10(5). 530–536. 60 indexed citations
12.
Grgić, Jozo, et al.. (2019). Caffeinated Gel Ingestion Enhances Jump Performance, Muscle Strength, and Power in Trained Men. Nutrients. 11(4). 937–937. 31 indexed citations
13.
Grgić, Jozo, Jan Homolak, Pavle Mikulić, Javier Botella, & Brad J. Schöenfeld. (2018). Inducing hypertrophic effects of type I skeletal muscle fibers: A hypothetical role of time under load in resistance training aimed at muscular hypertrophy. Medical Hypotheses. 112. 40–42. 25 indexed citations
15.
Mikulić, Pavle, et al.. (2015). Peak Power Output Test on a Rowing Ergometer. The Journal of Strength and Conditioning Research. 29(10). 2919–2925. 16 indexed citations
16.
Mikulić, Pavle, et al.. (2011). SITUATIONAL SUCCESS IN 100-M BACKSTROKE EVENT AT THE 2004 AND 2008 EUROPEAN SWIMMING CHAMPIONSHIPS. 4(2). 28–31. 2 indexed citations
17.
Mikulić, Pavle. (2011). Maturation to elite status: a six-year physiological case study of a world champion rowing crew. European Journal of Applied Physiology. 111(9). 2363–2368. 33 indexed citations
18.
Mikulić, Pavle. (2008). Anthropometric and physiological profiles of rowers of varying ages and ranks. Kinesiology. 40(1). 80–88. 37 indexed citations
19.
Mikulić, Pavle, et al.. (2007). MAXIMAL OXYGEN UPTAKE AND MATURATION IN 12-YEAR-OLD MALE ROWERS. University of Zagreb University Computing Centre (SRCE). 22(1). 10–15. 1 indexed citations
20.
Mikulić, Pavle, et al.. (2005). MORPHOLOGICAL CHARACTERISTICS AND SOMATOTYPE OF ELITE CROATIAN ROWERS. 20(1). 15–19. 2 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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