Miroslav Petr

1.2k total citations
50 papers, 901 citations indexed

About

Miroslav Petr is a scholar working on Orthopedics and Sports Medicine, Physiology and Cell Biology. According to data from OpenAlex, Miroslav Petr has authored 50 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Orthopedics and Sports Medicine, 20 papers in Physiology and 17 papers in Cell Biology. Recurrent topics in Miroslav Petr's work include Sports Performance and Training (18 papers), Muscle metabolism and nutrition (17 papers) and Exercise and Physiological Responses (11 papers). Miroslav Petr is often cited by papers focused on Sports Performance and Training (18 papers), Muscle metabolism and nutrition (17 papers) and Exercise and Physiological Responses (11 papers). Miroslav Petr collaborates with scholars based in Czechia, Poland and United States. Miroslav Petr's co-authors include Petr Šťastný, Michal Šteffl, Eva Kohlíková, Iva Holmerová, Richard W. Bohannon, Adam Zając, Adam Maszczyk, Artur Gołaś, Michał Wilk and James J. Tufano and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Miroslav Petr

49 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miroslav Petr Czechia 17 366 319 159 131 122 50 901
Jeffery S. Staab United States 19 377 1.0× 253 0.8× 179 1.1× 58 0.4× 131 1.1× 42 967
Marko Stojanović Serbia 19 562 1.5× 213 0.7× 174 1.1× 60 0.5× 121 1.0× 67 1.1k
Αθανάσιος Τσιόκανος Greece 13 459 1.3× 143 0.4× 176 1.1× 253 1.9× 88 0.7× 32 851
Gunnar Treff Germany 14 218 0.6× 187 0.6× 114 0.7× 99 0.8× 51 0.4× 57 601
Joseph A. Alemany United States 17 561 1.5× 266 0.8× 285 1.8× 84 0.6× 109 0.9× 31 1.2k
Courtenay Dunn‐Lewis United States 21 549 1.5× 233 0.7× 202 1.3× 46 0.4× 183 1.5× 57 1.1k
Rafael Timón Spain 18 386 1.1× 236 0.7× 139 0.9× 251 1.9× 59 0.5× 97 967
Tom Gwinn Australia 16 544 1.5× 320 1.0× 132 0.8× 52 0.4× 218 1.8× 27 1.2k
Toshiyuki Homma Japan 18 202 0.6× 266 0.8× 105 0.7× 156 1.2× 152 1.2× 35 967
Richard Diego Leite Brazil 20 393 1.1× 409 1.3× 192 1.2× 52 0.4× 93 0.8× 81 1.1k

Countries citing papers authored by Miroslav Petr

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Petr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Petr

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Petr. A scholar is included among the top collaborators of Miroslav Petr 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 Miroslav Petr. Miroslav Petr 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
2.
Petr, Miroslav, et al.. (2025). Nutritional Strategies for Olympic Biathletes: A Practical Review. Nutrients. 17(21). 3385–3385.
3.
Mastalerz, Аndrzej, et al.. (2024). Changes of Anaerobic Power and Lactate Concentration following Intense Glycolytic Efforts in Elite and Sub-Elite 400-meter Sprinters. Journal of Human Kinetics. 91(Spec Issue). 165–174. 5 indexed citations
4.
Petr, Miroslav, et al.. (2024). TGF-Β Isoforms: TGF-β1, TGF-β2 and TGF-β3 in Ligament and Tendon Healing. Polish Journal of Sport and Tourism. 31(2). 3–10. 1 indexed citations
5.
Tichopád, Aleš, Martin Augustýnek, Jiří Beneš, et al.. (2023). The way to data: opinions and recommendations for the provision of health data for secondary use.. PubMed. 162(2-3). 61–66. 1 indexed citations
6.
Humińska‐Lisowska, Kinga, Jan Mieszkowski, Andrzej Kochanowicz, et al.. (2022). Implications of Adipose Tissue Content for Changes in Serum Levels of Exercise-Induced Adipokines: A Quasi-Experimental Study. International Journal of Environmental Research and Public Health. 19(14). 8782–8782. 10 indexed citations
7.
9.
Wilk, Michał, Michał Krzysztofik, Miroslav Petr, Adam Zając, & Petr Šťastný. (2021). The slow exercise tempo during conventional squat elicits higher glycolytic and muscle damage but not the endocrine response.. PubMed. 41(6). 301–307. 6 indexed citations
10.
Murawska‐Ciałowicz, Eugenia, Jolanta Zuwała−Jagiełło, Yuri Feito, et al.. (2020). Effect of HIIT with Tabata Protocol on Serum Irisin, Physical Performance, and Body Composition in Men. International Journal of Environmental Research and Public Health. 17(10). 3589–3589. 47 indexed citations
11.
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Petr, Miroslav, Agnieszka Maciejewska, Adam Zając, Jakub Chycki, & Petr Šťastný. (2019). Association of Elite Sports Status with Gene Variants of Peroxisome Proliferator Activated Receptors and Their Transcriptional Coactivator. International Journal of Molecular Sciences. 21(1). 162–162. 22 indexed citations
13.
Maciejewska, Agnieszka, Wojciech Czarny, Paweł Król, et al.. (2019). The Polymorphisms of the Peroxisome-Proliferator Activated Receptors’ Alfa Gene Modify the Aerobic Training Induced Changes of Cholesterol and Glucose. Journal of Clinical Medicine. 8(7). 1043–1043. 17 indexed citations
14.
Michalczyk, Małgorzata Magdalena, Jakub Chycki, Adam Zając, et al.. (2019). Three weeks of intermittent hypoxic training affect antioxidant enzyme activity and increases lipid peroxidation in cyclists. Monatshefte für Chemie - Chemical Monthly. 150(9). 1703–1710. 2 indexed citations
15.
Šťastný, Petr, James J. Tufano, Miroslav Petr, et al.. (2018). The Role of Visual Feedback on Power Output During Intermittent Wingate Testing in Ice Hockey Players. Sports. 6(2). 32–32. 14 indexed citations
16.
Petr, Miroslav, Petr Šťastný, Adam Zając, James J. Tufano, & Agnieszka Maciejewska. (2018). The Role of Peroxisome Proliferator-Activated Receptors and Their Transcriptional Coactivators Gene Variations in Human Trainability: A Systematic Review. International Journal of Molecular Sciences. 19(5). 1472–1472. 34 indexed citations
17.
Šťastný, Petr, Artur Gołaś, Adam Maszczyk, et al.. (2017). A systematic review of surface electromyography analyses of the bench press movement task. PLoS ONE. 12(2). e0171632–e0171632. 95 indexed citations
18.
Malá, Lucía, et al.. (2017). Gender differences in strength lateral asymmetries, limbs morphology and body composition in adolescent judo athletes. Archives of Budo. 13. 15 indexed citations
19.
Cięszczyk, Paweł, Piotr Gronek, Piotr Żmijewski, et al.. (2017). Are genes encoding proteoglycans really associated with the risk of anterior cruciate ligament rupture?. Biology of Sport. 2(2). 97–103. 24 indexed citations
20.
Navrátil, Tomáš, Miroslav Petr, T.I. P̌řistoupil, et al.. (2007). Diagnostic significance of urinary thiodiglycolic acid as a possible tool for studying the role of vitamins B12 and folates in the metabolism of thiolic substances. Physiological Research. 56(1). 113–122. 11 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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