John D. Mata

436 total citations
11 papers, 312 citations indexed

About

John D. Mata is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Occupational Therapy. According to data from OpenAlex, John D. Mata has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Orthopedics and Sports Medicine, 2 papers in Molecular Biology and 2 papers in Occupational Therapy. Recurrent topics in John D. Mata's work include Sports injuries and prevention (5 papers), Sports Performance and Training (4 papers) and Bone health and treatments (2 papers). John D. Mata is often cited by papers focused on Sports injuries and prevention (5 papers), Sports Performance and Training (4 papers) and Bone health and treatments (2 papers). John D. Mata collaborates with scholars based in United States, Uruguay and Argentina. John D. Mata's co-authors include Beryl Story, Gregory R. Mundy, G. David Roodman, Brendan F. Boyce, T A Guise, Margaret T. Jones, Jonathan M. Oliver, Andreas Kreutzer, Andrew R. Jagim and Theresa A. Guise and has published in prestigious journals such as Journal of Clinical Investigation, Endocrinology and Medicine & Science in Sports & Exercise.

In The Last Decade

John D. Mata

10 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Mata United States 8 158 114 87 31 26 11 312
Maria Rosaria Povino Italy 9 133 0.8× 119 1.0× 173 2.0× 86 2.8× 36 1.4× 12 407
Mohammad W. Aref United States 11 80 0.5× 115 1.0× 136 1.6× 40 1.3× 12 0.5× 20 313
Shinya Tanaka Japan 8 69 0.4× 133 1.2× 89 1.0× 19 0.6× 38 1.5× 15 312
Alessia Poggi Italy 11 80 0.5× 119 1.0× 94 1.1× 66 2.1× 53 2.0× 22 468
Shigeki Nishida Japan 11 190 1.2× 359 3.1× 143 1.6× 67 2.2× 23 0.9× 18 602
Shi Shou Lu United States 9 252 1.6× 254 2.2× 198 2.3× 27 0.9× 15 0.6× 13 429
Gillian Wheater United Kingdom 5 86 0.5× 121 1.1× 167 1.9× 24 0.8× 28 1.1× 8 360
S. Aldridge United Kingdom 9 106 0.7× 89 0.8× 59 0.7× 7 0.2× 16 0.6× 11 319
Theodora Koromila Greece 11 73 0.5× 152 1.3× 146 1.7× 68 2.2× 9 0.3× 23 347
Shun Cui China 7 27 0.2× 155 1.4× 68 0.8× 18 0.6× 40 1.5× 8 293

Countries citing papers authored by John D. Mata

Since Specialization
Citations

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

Fields of papers citing papers by John D. Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Mata. 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 John D. Mata. The network helps show where John D. Mata may publish in the future.

Co-authorship network of co-authors of John D. Mata

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Mata. A scholar is included among the top collaborators of John D. Mata 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 John D. Mata. John D. Mata 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.
Bó, G. A., et al.. (2025). State of the art in Bovine Reproduction Control and Artificial Insemination. Revista Brasileira de Reprodução Animal. 49(1). 14–25.
3.
Hando, Ben, et al.. (2022). Force plate vertical jump scans are not a valid proxy for physical fitness in US special warfare trainees. Frontiers in Physiology. 13. 966970–966970. 3 indexed citations
4.
Scott, William C., et al.. (2022). Heat Stroke Burden And Validity Of Wearable-derived Core Temperature Estimation During Elite Military Training. Medicine & Science in Sports & Exercise. 54(9S). 544–544. 1 indexed citations
6.
Stone, Jason D., Shiho Goto, John D. Mata, et al.. (2018). Joint-Level Analyses of the Back Squat With and Without Intraset Rest. International Journal of Sports Physiology and Performance. 14(5). 583–589. 7 indexed citations
7.
Stone, Jason D., Andreas Kreutzer, John D. Mata, et al.. (2017). Changes in Creatine Kinase and Hormones Over the Course of an American Football Season. The Journal of Strength and Conditioning Research. 33(9). 2481–2487. 17 indexed citations
8.
Mata, John D., Jonathan M. Oliver, Andrew R. Jagim, & Margaret T. Jones. (2016). Sex Differences in Strength and Power Support the Use of a Mixed-Model Approach to Resistance Training Programing. Strength and conditioning journal. 38(2). 2–7. 9 indexed citations
9.
Oliver, Jonathan M., et al.. (2016). Acute Effect of Cluster and Traditional Set Configurations on Myokines Associated with Hypertrophy. International Journal of Sports Medicine. 37(13). 1019–1024. 25 indexed citations
10.
Mata, John D., T A Guise, Beryl Story, et al.. (1995). Interleukin-6 enhances hypercalcemia and bone resorption mediated by parathyroid hormone-related protein in vivo.. Journal of Clinical Investigation. 95(6). 2846–2852. 190 indexed citations
11.
Guise, Theresa A., John D. Mata, Beryl Story, et al.. (1995). Effects of parathyroid hormone (PTH)-related protein and PTH on osteoclasts and osteoclast precursors in vivo.. Endocrinology. 136(8). 3207–3212. 31 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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