Igor Tak

1.0k total citations
45 papers, 636 citations indexed

About

Igor Tak is a scholar working on Orthopedics and Sports Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Igor Tak has authored 45 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Orthopedics and Sports Medicine, 30 papers in Surgery and 14 papers in Biomedical Engineering. Recurrent topics in Igor Tak's work include Sports injuries and prevention (32 papers), Shoulder Injury and Treatment (22 papers) and Lower Extremity Biomechanics and Pathologies (10 papers). Igor Tak is often cited by papers focused on Sports injuries and prevention (32 papers), Shoulder Injury and Treatment (22 papers) and Lower Extremity Biomechanics and Pathologies (10 papers). Igor Tak collaborates with scholars based in Netherlands, Qatar and Austria. Igor Tak's co-authors include Rob Langhout, Maarten Barendrecht, Adam Weir, Janine H. Stubbe, Rintje Agricola, Gino M. M. J. Kerkhoffs, J.H. Waarsing, Philip Glasgow, Gino M. M. J. Kerkhoffs and Vincent Gouttebarge and has published in prestigious journals such as The American Journal of Sports Medicine, Sports Medicine and Sensors.

In The Last Decade

Igor Tak

40 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Tak Netherlands 14 491 407 125 117 59 45 636
Lasse Ishøi Denmark 13 417 0.8× 306 0.8× 93 0.7× 125 1.1× 42 0.7× 31 544
Seán Mc Auliffe Qatar 16 559 1.1× 407 1.0× 115 0.9× 37 0.3× 78 1.3× 30 693
Ciaran Cosgrave Ireland 5 420 0.9× 224 0.6× 115 0.9× 25 0.2× 85 1.4× 5 498
Maarten Barendrecht Netherlands 10 266 0.5× 154 0.4× 76 0.6× 69 0.6× 37 0.6× 16 312
Philip Malloy United States 16 337 0.7× 573 1.4× 285 2.3× 81 0.7× 34 0.6× 43 774
Marie-Hélène Namurois Belgium 2 417 0.8× 164 0.4× 109 0.9× 105 0.9× 50 0.8× 2 437
Max Stuelcken Australia 17 641 1.3× 277 0.7× 279 2.2× 41 0.4× 45 0.8× 38 721
Kasper Krommes Denmark 12 490 1.0× 195 0.5× 145 1.2× 137 1.2× 50 0.8× 21 567
Gianni Nanni Italy 14 512 1.0× 403 1.0× 101 0.8× 111 0.9× 16 0.3× 24 642
Steven L. Dischiavi United States 11 534 1.1× 232 0.6× 216 1.7× 33 0.3× 34 0.6× 14 632

Countries citing papers authored by Igor Tak

Since Specialization
Citations

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

Fields of papers citing papers by Igor Tak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Tak

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Tak. A scholar is included among the top collaborators of Igor Tak 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 Igor Tak. Igor Tak 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
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Kerkhoffs, Gino M. M. J., et al.. (2024). Impaired hemodynamics of the patella in patients with patellofemoral pain: A case–control study. Journal of Experimental Orthopaedics. 11(1). e12009–e12009. 2 indexed citations
3.
Kerkhoffs, Gino M. M. J., et al.. (2023). Patients with patellofemoral pain have lower soft tissue flexibility of the kinetic chain compared to healthy controls: A case-control study. Journal of Bodywork and Movement Therapies. 36. 203–209. 2 indexed citations
4.
Weir, Adam, Rintje Agricola, Igor Tak, et al.. (2023). Hip and groin pain in male field hockey players: Prevalence, incidence and associations with patient reported outcome scores and hip muscle strength. Physical Therapy in Sport. 61. 66–72. 2 indexed citations
5.
Kerkhoffs, Gino M. M. J., et al.. (2023). Near‐Infrared Spectroscopy measurements are reliable for studying patellar bone hemodynamics and affected by venous occlusion, but not by skin compression. Journal of Experimental Orthopaedics. 10(1). 124–124. 1 indexed citations
6.
Gokeler, Alli, et al.. (2023). Motor learning principles during rehabilitation after anterior cruciate ligament injury. Arthroskopie. 36(3). 164–170. 4 indexed citations
7.
Gokeler, Alli, Alberto Grassi, Roy A.G. Hoogeslag, et al.. (2022). Return to sports after ACL injury 5 years from now: 10 things we must do. Journal of Experimental Orthopaedics. 9(1). 73–73. 32 indexed citations
8.
Klij, Pim van, Rob Langhout, A.M.C. van Beijsterveldt, et al.. (2021). Do hip and groin muscle strength and symptoms change throughout a football season in professional male football players? A prospective cohort study with repeated measures. Journal of science and medicine in sport. 24(11). 1123–1129. 12 indexed citations
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Serner, Andreas, Javier Arnáiz, A. Mosler, et al.. (2020). Classifying radiographic changes of the pubic symphysis in male athletes: Development and reproducibility of a new scoring protocol. European Journal of Radiology. 134. 109452–109452. 3 indexed citations
11.
Tak, Igor, et al.. (2020). Judokas with low back pain have lower flexibility of the hip-spine complex: A case-control study. Physical Therapy in Sport. 45. 30–37. 14 indexed citations
12.
Klij, Pim van, Rintje Agricola, Igor Tak, et al.. (2020). Normal values for hip muscle strength and range of motion in elite, sub-elite and amateur male field hockey players. Physical Therapy in Sport. 46. 169–176. 8 indexed citations
13.
Langhout, Rob & Igor Tak. (2019). Including performance level lowers prevalence of non-timeloss groin injury. A cross-sectional study in 383 female amateur football players. Physical Therapy in Sport. 40. 225–230. 5 indexed citations
14.
Barendrecht, Maarten, et al.. (2018). Active pelvic tilt is reduced in athletes with groin injury; a case-controlled study. Physical Therapy in Sport. 36. 14–21. 10 indexed citations
15.
Tak, Igor, David Pope, Vincent Gouttebarge, et al.. (2018). Infographic. Is lower hip range of motion a risk factor for groin pain in athletes? A systematic review with clinical applications. British Journal of Sports Medicine. 52(16). 1022–1023. 30 indexed citations
16.
Bosch, Karlijn A. van den, et al.. (2018). The decline step-down test measuring the maximum pain-free flexion angle: A reliable and valid performance test in patients with patellofemoral pain. Physical Therapy in Sport. 36. 43–50. 9 indexed citations
17.
Tak, Igor, Adam Weir, Rob Langhout, et al.. (2016). Relationship between the frequency of football practice during skeletal growth and the presence of a cam deformity in adult elite football players. Manual Therapy. 25. e120–e120. 1 indexed citations
18.
19.
Tak, Igor, Adam Weir, Rob Langhout, et al.. (2015). The relationship between the frequency of football practice during skeletal growth and the presence of a cam deformity in adult elite football players. British Journal of Sports Medicine. 49(9). 630–634. 74 indexed citations
20.
Tak, Igor, et al.. (2013). Ultrasound characteristics of the lateral retinaculum in 10 patients with patellofemoral pain syndrome compared to healthy controls. Journal of Bodywork and Movement Therapies. 17(4). 523–529. 15 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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