Kent J. Adams

1.4k total citations
89 papers, 1.1k citations indexed

About

Kent J. Adams is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Physiology. According to data from OpenAlex, Kent J. Adams has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Orthopedics and Sports Medicine, 22 papers in Biomedical Engineering and 20 papers in Physiology. Recurrent topics in Kent J. Adams's work include Sports Performance and Training (50 papers), Sports injuries and prevention (30 papers) and Cardiovascular and exercise physiology (18 papers). Kent J. Adams is often cited by papers focused on Sports Performance and Training (50 papers), Sports injuries and prevention (30 papers) and Cardiovascular and exercise physiology (18 papers). Kent J. Adams collaborates with scholars based in United States, Australia and United Kingdom. Kent J. Adams's co-authors include Mark DeBeliso, Chad Harris, Joseph M. Berning, Ann M. Swank, Bryant Stamford, Ronald P. Pfeiffer, Kevin G. Shea, Daniel C. Funk, Mike Climstein and Cheryl A. Coker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Sports Medicine.

In The Last Decade

Kent J. Adams

88 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kent J. Adams United States 17 641 234 226 213 168 89 1.1k
Scott Doberstein United States 20 535 0.8× 358 1.5× 144 0.6× 297 1.4× 137 0.8× 53 1.1k
Mark DeBeliso United States 19 976 1.5× 233 1.0× 431 1.9× 282 1.3× 340 2.0× 172 1.6k
Vedran Hadžić Slovenia 20 869 1.4× 104 0.4× 318 1.4× 171 0.8× 240 1.4× 80 1.3k
Jeffrey M. Janot United States 12 464 0.7× 269 1.1× 121 0.5× 144 0.7× 91 0.5× 27 780
Diamanda Leontsini Greece 16 725 1.1× 233 1.0× 210 0.9× 374 1.8× 63 0.4× 19 1.2k
Luis Javier Chirosa Ríos Spain 21 917 1.4× 191 0.8× 384 1.7× 230 1.1× 171 1.0× 169 1.5k
Helen Douda Greece 21 646 1.0× 313 1.3× 144 0.6× 222 1.0× 55 0.3× 45 1.2k
Felipe J. Aidar Brazil 20 560 0.9× 215 0.9× 162 0.7× 283 1.3× 60 0.4× 213 1.4k
Thomas R. Baechle United States 11 1.1k 1.7× 289 1.2× 389 1.7× 202 0.9× 115 0.7× 29 1.6k
Patricia A. Eisenman United States 18 369 0.6× 186 0.8× 136 0.6× 273 1.3× 224 1.3× 45 976

Countries citing papers authored by Kent J. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Kent J. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kent J. Adams. 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 Kent J. Adams. The network helps show where Kent J. Adams may publish in the future.

Co-authorship network of co-authors of Kent J. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Kent J. Adams. A scholar is included among the top collaborators of Kent J. Adams 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 Kent J. Adams. Kent J. Adams 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
1.
2.
Beckham, George K., et al.. (2019). The Reliability of the Seated Medicine Ball Throw as Assessed with Accelerometer Instrumentation. 4(2). 108–113. 9 indexed citations
3.
Harris, Chad, et al.. (2017). Post-activation potentiation and the shot put throw. 7(4). 170–176. 8 indexed citations
4.
Harris, Chad, et al.. (2017). Determination of Trials Needed for Measurement Consistency of Standing Long Jump in Female Collegiate Volleyball Athletes: A Brief Report. 7(1). 1–5. 6 indexed citations
5.
Berning, Joseph M., et al.. (2017). Hand Grip Strength and Gender: Allometric Normalization in Older Adults and Implications for the NIOSH Lifting Equation. PubMed. 7(2). 63–68. 20 indexed citations
6.
Bishop, A. W., et al.. (2016). Post Activation Potentiation in North American High School Football Players. 4(6). 10 indexed citations
7.
Adams, Kent J., et al.. (2015). Differences in health promotion program participation, barriers and physical activity among faculty, staff and administration at a university worksite. International Journal of Workplace Health Management. 8(4). 246–255. 18 indexed citations
8.
DeBeliso, Mark, et al.. (2014). Body mass index of North American participants at the World Masters Games. Journal of Sports Sciences. 2(1). 189–194. 6 indexed citations
9.
Harris, Chad, Kristof Kipp, Kent J. Adams, Mark DeBeliso, & Joseph M. Berning. (2011). The Effects of High Intensity Warm-Up on Shot Put Performance. Medicine & Science in Sports & Exercise. 43(5). 864–864. 6 indexed citations
10.
Adams, Kent J., et al.. (2010). Physiological and Psychophysical Comparison Between a Lifting Task With Identical Weight but Different Coupling Factors. The Journal of Strength and Conditioning Research. 24(2). 307–312. 9 indexed citations
11.
Berning, Joseph M., Kent J. Adams, Mark DeBeliso, Bryant Stamford, & Ian M. Newman. (2008). Anabolic Androgenic Steroids: Use and Perceived Use in Nonathlete College Students. Journal of American College Health. 56(5). 499–504. 14 indexed citations
12.
Harris, Chad, et al.. (2006). The Effects of Heavy Squats on Potentiating 30 Second Wingate Test Performance. Medicine & Science in Sports & Exercise. 38(Supplement). S292–S292. 5 indexed citations
13.
Adams, Kent J., et al.. (2005). The Effects Of Resistance Training On Measures Of Body Composition And Strength In Children. Medicine & Science in Sports & Exercise. 37(Supplement). S187–S187. 1 indexed citations
14.
Harris, Chad, Mark DeBeliso, Kent J. Adams, & Mike Curtin. (2004). Steer Wrestling—Event Analysis and Conditioning Model. Strength and conditioning journal. 26(1). 8–8. 4 indexed citations
15.
DeBeliso, Mark, et al.. (2004). THE EFFECT OF RESISTANCE-TRAINING INTENSITY ON STRENGTH-GAIN RESPONSE IN THE OLDER ADULT. The Journal of Strength and Conditioning Research. 18(4). 833–838. 13 indexed citations
16.
Adams, Kent J., et al.. (2004). Aquatic Plyometrics and the Freestyle Flip Turn. Medicine & Science in Sports & Exercise. 36(Supplement). S206–S206. 1 indexed citations
17.
Berning, Joseph M., Kent J. Adams, & Bryant Stamford. (2004). Anabolic Steroid Usage in Athletics: Facts, Fiction, and Public Relations. The Journal of Strength and Conditioning Research. 18(4). 908–908. 28 indexed citations
18.
Beacham, Abbie O., et al.. (2003). The Gap Between Clinical Trial and Application in Health Behavior Counseling: Can Behavioral Medicine Build a Bridge?. Journal of Clinical Psychology in Medical Settings. 10(4). 239–249. 1 indexed citations
19.
Ritchie, Christine S., Barbara A. Stetson, Pat F. Bass, & Kent J. Adams. (2002). Talking to Patients About Aerobic Exercise for Disease Prevention: An Educational Exercise for Medical Students. PubMed. 5(3). 103–105. 14 indexed citations
20.
Adams, Kent J., et al.. (1999). Combined High-Intensity Strength and Aerobic Training in Diverse Phase II Cardiac Rehabilitation Patients. Journal of Cardiopulmonary Rehabilitation. 19(4). 209–215. 36 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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