John S. Ware

689 total citations
19 papers, 530 citations indexed

About

John S. Ware is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Genetics. According to data from OpenAlex, John S. Ware has authored 19 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Orthopedics and Sports Medicine, 8 papers in Biomedical Engineering and 3 papers in Genetics. Recurrent topics in John S. Ware's work include Sports Performance and Training (17 papers), Sports injuries and prevention (12 papers) and Sports Dynamics and Biomechanics (6 papers). John S. Ware is often cited by papers focused on Sports Performance and Training (17 papers), Sports injuries and prevention (12 papers) and Sports Dynamics and Biomechanics (6 papers). John S. Ware collaborates with scholars based in United States, Germany and Czechia. John S. Ware's co-authors include Jerry L. Mayhew, Michael G. Bemben, Fontaine C. Piper, David L. Mayhew, Paul Chapman, Chad M. Kerksick, Debra A. Bemben, Steven A Corbett, Wolfgang Kemmler and Dirk Lauber and has published in prestigious journals such as Medicine & Science in Sports & Exercise, The Journal of Strength and Conditioning Research and International Journal of Sport Nutrition and Exercise Metabolism.

In The Last Decade

John S. Ware

18 papers receiving 470 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 S. Ware United States 11 404 156 145 137 62 19 530
T. E. Ball United States 15 453 1.1× 117 0.8× 135 0.9× 72 0.5× 118 1.9× 30 634
Andersen Jc United States 11 316 0.8× 76 0.5× 113 0.8× 82 0.6× 70 1.1× 20 489
Piero Benelli Italy 14 273 0.7× 129 0.8× 107 0.7× 56 0.4× 120 1.9× 34 517
André R. Nelson Australia 14 354 0.9× 145 0.9× 167 1.2× 176 1.3× 55 0.9× 21 602
Fabrício Miranda Brazil 5 316 0.8× 64 0.4× 94 0.6× 96 0.7× 149 2.4× 10 446
John M. Rosene United States 10 338 0.8× 136 0.9× 101 0.7× 291 2.1× 55 0.9× 26 614
Fred D. Baldini United States 9 312 0.8× 64 0.4× 104 0.7× 91 0.7× 186 3.0× 17 424
Jeff Reynolds United States 4 243 0.6× 85 0.5× 84 0.6× 49 0.4× 113 1.8× 5 395
Trent W. Lawton Australia 10 509 1.3× 78 0.5× 182 1.3× 62 0.5× 180 2.9× 18 621
Max McCormick Australia 2 176 0.4× 90 0.6× 139 1.0× 61 0.4× 55 0.9× 2 334

Countries citing papers authored by John S. Ware

Since Specialization
Citations

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

Fields of papers citing papers by John S. Ware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John S. Ware

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

All Works

19 of 19 papers shown
1.
Mayhew, Jerry L., et al.. (2005). Comparison of the Backward Overhead Medicine Ball Throw to Power Production in College Football Players. The Journal of Strength and Conditioning Research. 19(3). 514–514. 31 indexed citations
2.
Mayhew, Jerry L., et al.. (2005). COMPARISON OF THE BACKWARD OVERHEAD MEDICINE BALL THROW TO POWER PRODUCTION IN COLLEGE FOOTBALL PLAYERS. The Journal of Strength and Conditioning Research. 19(3). 514–518. 7 indexed citations
3.
Mayhew, Jerry L., et al.. (2004). Anthropometric Dimensions Do Not Enhance One Repetition Maximum Prediction From the NFL-225 Test in College Football Players. The Journal of Strength and Conditioning Research. 18(3). 572–572. 23 indexed citations
4.
Mayhew, Jerry L., et al.. (2004). Selecting the Best Weight to Predict 1-RM Strength. Medicine & Science in Sports & Exercise. 36(Supplement). S351–S351. 2 indexed citations
5.
Mayhew, Jerry L., et al.. (2004). Selecting the Best Weight to Predict 1-RM Strength. Medicine & Science in Sports & Exercise. 36(Supplement). S351–S351. 2 indexed citations
6.
Mayhew, Jerry L., et al.. (2004). Using Repetitions to Fatigue to Predict One-Repetition Maximum Bench Press in Male High School Athletes. Pediatric Exercise Science. 16(3). 265–276. 23 indexed citations
7.
Mayhew, Jerry L., et al.. (2004). Anthropometric Dimensions Do Not Enhance One Repetition Maximum Prediction From the NFL-225 Test in College Football Players. The Journal of Strength and Conditioning Research. 18(3). 572–578. 2 indexed citations
8.
Mayhew, David L., Jerry L. Mayhew, & John S. Ware. (2002). Effects of Long-term Creatine Supplementation on Liver and Kidney Functions in American College Football Players. International Journal of Sport Nutrition and Exercise Metabolism. 12(4). 453–460. 43 indexed citations
9.
Mayhew, Jerry L., Dirk Lauber, Wolfgang Kemmler, et al.. (2002). REPETITIONS-TO-FATIGUE TO PREDICT 1-RM BENCH PRESS IN MEN WITH DIFFERENT LEVELS OF TRAINING. Medicine & Science in Sports & Exercise. 34(5). S289–S289. 2 indexed citations
10.
Mayhew, Jerry L., et al.. (2002). Validation of the NFL-225 test for predicting 1-RM bench press performance in college football players.. PubMed. 42(3). 304–8. 18 indexed citations
11.
Mayhew, Jerry L., et al.. (1999). The NFL-225 Test as a Measure of Bench Press Strength in College Football Players. The Journal of Strength and Conditioning Research. 13(2). 130–130. 35 indexed citations
12.
Mayhew, Jerry L., et al.. (1999). The NFL-225 Test as a Measure of Bench Press Strength in College Football Players. The Journal of Strength and Conditioning Research. 13(2). 130–134. 5 indexed citations
13.
Mayhew, Jerry L., et al.. (1995). CROSS-VALIDATION OF EQUATIONS TO PREDICT 1-RM BENCH PRESS FROM REPETITIONS-TO-FAILURE.. Medicine & Science in Sports & Exercise. 27(Supplement). S209–S209. 4 indexed citations
14.
Ware, John S., et al.. (1995). Muscular Endurance Repetitions to Predict Bench Press and Squat Strength in College Football Players. The Journal of Strength and Conditioning Research. 9(2). 99–99. 58 indexed citations
15.
Mayhew, Jerry L., et al.. (1995). Muscular endurance repetitions to predict bench press strength in men of different training levels.. PubMed. 35(2). 108–13. 173 indexed citations
16.
Ware, John S., et al.. (1995). Muscular Endurance Repetitions to Predict Bench Press and Squat Strength in College Football Players. The Journal of Strength and Conditioning Research. 9(2). 99–103. 10 indexed citations
17.
Mayhew, Jerry L., et al.. (1993). Assessing Bench Press Power in College Football Players. The Journal of Strength and Conditioning Research. 7(2). 95–100. 2 indexed citations
18.
Mayhew, Jerry L., et al.. (1993). Assessing Bench Press Power in College Football Players: The Seated Shot Put. The Journal of Strength and Conditioning Research. 7(2). 95–95. 17 indexed citations
19.
Mayhew, Jerry L., Fontaine C. Piper, & John S. Ware. (1993). Anthropometric correlates with strength performance among resistance trained athletes.. PubMed. 33(2). 159–65. 73 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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