Daniel Leyhr

497 total citations · 1 hit paper
21 papers, 339 citations indexed

About

Daniel Leyhr is a scholar working on Orthopedics and Sports Medicine, Developmental and Educational Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Leyhr has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Orthopedics and Sports Medicine, 12 papers in Developmental and Educational Psychology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Leyhr's work include Sports Performance and Training (14 papers), Sport Psychology and Performance (12 papers) and Sports injuries and prevention (11 papers). Daniel Leyhr is often cited by papers focused on Sports Performance and Training (14 papers), Sport Psychology and Performance (12 papers) and Sports injuries and prevention (11 papers). Daniel Leyhr collaborates with scholars based in Germany, United States and Switzerland. Daniel Leyhr's co-authors include Oliver Höner, Augustin Kelava, Johannes Raabe, Dennis Murr, Gorden Sudeck, Paul Larkin, Florian Schultz, David M. Rosch, David L. Mann and Katrin Eichler and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Psychology.

In The Last Decade

Daniel Leyhr

18 papers receiving 337 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Physical activity improves stress load, recovery, and academic performance-related parameters among university students: a longitudinal study on daily level

2024 32 citations Daniel Leyhr, Gorden Sudeck et al. BMC Public Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Leyhr Germany	10	259	245	62	48	28	21	339
Adrián Escudero-Tena Spain	11	328 1.3×	132 0.5×	60 1.0×	38 0.8×	57 2.0×	58	434
Jonny Bloomfield United Kingdom	9	306 1.2×	179 0.7×	83 1.3×	100 2.1×	39 1.4×	9	393
Oidui Usabiaga Arruabarrena Spain	12	237 0.9×	125 0.5×	55 0.9×	76 1.6×	100 3.6×	56	414
Mario Amatria Jiménez Spain	10	172 0.7×	99 0.4×	108 1.7×	53 1.1×	63 2.3×	50	316
Joe Baker Canada	9	152 0.6×	160 0.7×	31 0.5×	96 2.0×	19 0.7×	14	302
Antonino Pereira Portugal	7	372 1.4×	274 1.1×	128 2.1×	108 2.3×	58 2.1×	38	499
Claudia Zuber Switzerland	10	322 1.2×	339 1.4×	75 1.2×	169 3.5×	36 1.3×	23	429
Sarah‐Kate Millar New Zealand	9	150 0.6×	185 0.8×	29 0.5×	121 2.5×	54 1.9×	23	302
Martin Toms United Kingdom	8	135 0.5×	194 0.8×	27 0.4×	136 2.8×	74 2.6×	11	329
Miguel Pic Spain	11	191 0.7×	147 0.6×	125 2.0×	139 2.9×	136 4.9×	44	409

Countries citing papers authored by Daniel Leyhr

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Leyhr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Leyhr

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

All Works

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20 of 20 papers shown

Höner, Oliver, et al.. (2025). “Don’t forget the number 1 in soccer talent research!” – Predictive validity of objectively tested motor attributes and subjectively rated position-specific skills in elite youth goalkeepers. Journal of Sports Sciences. 1–15.

Leyhr, Daniel, et al.. (2025). Multidimensional Performance Assessments in U15 Female Soccer: The Predictive Validity for Different Selection Levels in U17 and Success in Adulthood. European Journal of Sport Science. 25(7). e12335–e12335. 1 indexed citations

Leyhr, Daniel, et al.. (2024). Physical activity improves stress load, recovery, and academic performance-related parameters among university students: a longitudinal study on daily level. BMC Public Health. 24(1). 598–598. 32 indexed citations breakdown →

Lanwehr, Ralf, et al.. (2024). Career path clustering of elite soccer players among European Big-5 nations utilizing Dynamic Time Warping. Journal of Quantitative Analysis in Sports. 20(3). 251–264. 1 indexed citations

Leyhr, Daniel, David M. Rosch, Sean P. Cumming, & Oliver Höner. (2024). Selection-Dependent Differences in Youth Elite Basketball Players’ Relative Age, Maturation-Related Characteristics, and Motor Performance. Research Quarterly for Exercise and Sport. 95(3). 775–788. 9 indexed citations

Weiland, Elisabeth, Thomas Benkert, Daniel Leyhr, et al.. (2024). Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T. Diagnostics. 14(16). 1742–1742. 1 indexed citations

Leyhr, Daniel, et al.. (2023). A deep learning factor analysis model based on importance‐weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance assessments in youth elite soccer players. Statistical Analysis and Data Mining The ASA Data Science Journal. 16(5). 474–487. 1 indexed citations

Leyhr, Daniel, et al.. (2023). Assessing biological maturity timing by MRI and coaches’ eye in elite youth soccer players: A comparison between objective and subjective diagnostics utilizing correlation and single case analyses. International Journal of Sports Science & Coaching. 18(4). 994–1002. 3 indexed citations

Leyhr, Daniel, Dennis Murr, Michael Romann, et al.. (2023). Value of Magnetic Resonance Imaging for Skeletal Bone Age Assessment in Healthy Male Children. Topics in Magnetic Resonance Imaging. 32(5). 50–55.

10.

Rosch, David M., et al.. (2022). Performance Differences in Male Youth Basketball Players According to Selection Status and Playing Position: An Evaluation of the Basketball Learning and Performance Assessment Instrument. Frontiers in Psychology. 13. 859897–859897. 9 indexed citations

11.

Raabe, Johannes, et al.. (2022). Exploring Need Fulfillment in Varsity Intercollegiate Student-Athletes’ Dual Roles: A Mixed-Methods, Person-Oriented Investigation. SHILAP Revista de lepidopterología. 15(1). 76–100. 3 indexed citations

12.

Leyhr, Daniel, et al.. (2022). Nudging digital physical activity breaks for home studying of university students—A randomized controlled trial during the COVID-19 pandemic with daily activity measures. Frontiers in Sports and Active Living. 4. 1024996–1024996. 5 indexed citations

13.

Leyhr, Daniel, et al.. (2021). Relative Age-Related Biases in Objective and Subjective Assessments of Performance in Talented Youth Soccer Players. Frontiers in Sports and Active Living. 3. 664231–664231. 25 indexed citations

14.

Höner, Oliver, et al.. (2021). Nationwide Subjective and Objective Assessments of Potential Talent Predictors in Elite Youth Soccer: An Investigation of Prognostic Validity in a Prospective Study. Frontiers in Sports and Active Living. 3. 638227–638227. 43 indexed citations

15.

Leyhr, Daniel, et al.. (2021). The Functional Movement Screen as an injury prediction tool for German physical education and exercise science students: a prospective cohort-study. physioscience. 17(3). 103–112. 1 indexed citations

16.

Leyhr, Daniel, et al.. (2020). Biological Maturity Status in Elite Youth Soccer Players: A Comparison of Pragmatic Diagnostics With Magnetic Resonance Imaging. Frontiers in Sports and Active Living. 2. 587861–587861. 20 indexed citations

17.

Höner, Oliver, Johannes Raabe, Dennis Murr, & Daniel Leyhr. (2019). Prognostic relevance of motor tests in elite girls’ soccer: a five-year prospective cohort study within the German talent promotion program. Science and Medicine in Football. 3(4). 287–296. 16 indexed citations

18.

Leyhr, Daniel, Johannes Raabe, Florian Schultz, Augustin Kelava, & Oliver Höner. (2019). The adolescent motor performance development of elite female soccer players: A study of prognostic relevance for future success in adulthood using multilevel modelling. Journal of Sports Sciences. 38(11-12). 1342–1351. 23 indexed citations

19.

Leyhr, Daniel, Augustin Kelava, Johannes Raabe, & Oliver Höner. (2018). Longitudinal motor performance development in early adolescence and its relationship to adult success: An 8-year prospective study of highly talented soccer players. PLoS ONE. 13(5). e0196324–e0196324. 67 indexed citations

20.

Höner, Oliver, Daniel Leyhr, & Augustin Kelava. (2017). The influence of speed abilities and technical skills in early adolescence on adult success in soccer: A long-term prospective analysis using ANOVA and SEM approaches. PLoS ONE. 12(8). e0182211–e0182211. 79 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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