Daniel R. Clifton

446 total citations
25 papers, 296 citations indexed

About

Daniel R. Clifton is a scholar working on Orthopedics and Sports Medicine, Surgery and Pharmacology. According to data from OpenAlex, Daniel R. Clifton has authored 25 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Orthopedics and Sports Medicine, 8 papers in Surgery and 7 papers in Pharmacology. Recurrent topics in Daniel R. Clifton's work include Sports injuries and prevention (15 papers), Musculoskeletal pain and rehabilitation (7 papers) and Injury Epidemiology and Prevention (6 papers). Daniel R. Clifton is often cited by papers focused on Sports injuries and prevention (15 papers), Musculoskeletal pain and rehabilitation (7 papers) and Injury Epidemiology and Prevention (6 papers). Daniel R. Clifton collaborates with scholars based in United States and United Kingdom. Daniel R. Clifton's co-authors include James A. Oñate, Jay Hertel, Thomas P. Dompier, Zachary Y. Kerr, Erin B. Wasserman, Dustin R. Grooms, Lauren A. Pierpoint, Dustin W. Currie, Stephen W. Marshall and Sarah B. Knowles and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and Medicine & Science in Sports & Exercise.

In The Last Decade

Daniel R. Clifton

21 papers receiving 282 citations

Peers

Daniel R. Clifton

OSM

SURGE

PHEOH

CCM

EPIDE

Benjamin M. Weisenthal United States

Ingrid Vriend Netherlands

Toby Edwards Australia

Christy L. Knox United States

Lisa Callahan United States

Volker Krutsch Germany

Sarah N. Morris United States

CF Finch Australia

Stephen Targett Qatar

Hannah J. Robison United States

Benjamin M. Weisenthal United States

Daniel R. Clifton

185 ×0.8

OSM

163 ×1.4

SURGE

47 ×0.8

PHEOH

103 ×2.0

CCM

43 ×0.9

EPIDE

Citations per year, relative to Daniel R. Clifton Daniel R. Clifton (= 1×) peers Benjamin M. Weisenthal

Countries citing papers authored by Daniel R. Clifton

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Clifton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Clifton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Clifton. A scholar is included among the top collaborators of Daniel R. Clifton 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 R. Clifton. Daniel R. Clifton 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

Clifton, Daniel R., et al.. (2025). Optimising Age‐Specific Insulin Signalling to Slow Down Reproductive Ageing Increases Fitness in Different Nutritional Environments. Aging Cell. 24(5). e14481–e14481.

Kazman, Josh B., et al.. (2023). The combined effects of coping and pain interference on army readiness. SHILAP Revista de lepidopterología. 4. 1175574–1175574.

Huh, Jeannie, et al.. (2022). Rates of Lapidus Procedures in the US Military Before and After the Advent of and Advocacy for Tri-Plane Lapidus Corrective Surgery. The Journal of Foot & Ankle Surgery. 62(2). 327–332. 2 indexed citations

Clifton, Daniel R., et al.. (2022). Financial Impact of Embedded Injury-Prevention Experts in US Army Initial Entry Training. Journal of Athletic Training. 58(6). 511–518.

Clifton, Daniel R., et al.. (2021). Risk factors for musculoskeletal-related occupational disability among US Army soldiers. BMJ Military Health. 169(4). 327–334. 2 indexed citations

Kazman, Josh B., et al.. (2021). Self-Reported Health Indicators in the US Army: Longitudinal Analysis From a Population Surveillance System, 2014‒2018. American Journal of Public Health. 111(11). 2064–2074. 4 indexed citations

Clifton, Daniel R., Timothy C. Gribbin, Anthony I. Beutler, & Sarah J. de la Motte. (2020). See the Forest for the Trees: Making Injury Risk Mitigation Programs Work for You. Current Sports Medicine Reports. 19(5). 175–177.

Ballance, C. J., et al.. (2019). The Effectiveness of Inertial Sensors to Assess Static Postural Stability in Individuals With Concussion: A Systematic Review. Athletic Training & Sports Health Care. 11(5). 243–248. 1 indexed citations

Motte, Sarah J. de la, Daniel R. Clifton, Timothy C. Gribbin, Anthony I. Beutler, & Patricia A. Deuster. (2019). Functional Movement Assessments Are Not Associated with Risk of Injury During Military Basic Training. Military Medicine. 184(11-12). e773–e780. 15 indexed citations

10.

Oñate, James A., Daniel R. Clifton, Thomas M. Best, et al.. (2018). Normative Functional Performance Values in High School Athletes: The Functional Pre-Participation Evaluation Project. Journal of Athletic Training. 53(1). 35–42. 18 indexed citations

11.

Clifton, Daniel R., et al.. (2018). Concussion Epidemiology in Athletes Who Are Deaf or Hard-of-Hearing Compared With Athletes Who Are Hearing. Clinical Journal of Sport Medicine. 31(2). e80–e85. 7 indexed citations

12.

Kerr, Zachary Y., Erin B. Wasserman, Melissa C. Kay, et al.. (2018). Epidemiology of Injuries Requiring Emergency Transport Among Collegiate and High School Student-Athletes. Journal of Athletic Training. 53(9). 906–914. 15 indexed citations

13.

Clifton, Daniel R., et al.. (2017). Epidemiology of Knee Sprains in Youth, High School, and Collegiate American Football Players. Journal of Athletic Training. 52(5). 464–473. 10 indexed citations

14.

Clifton, Daniel R., et al.. (2017). RELATIONSHIP OF PRESEASON MOVEMENT SCREENS WITH OVERUSE SYMPTOMS IN COLLEGIATE BASEBALL PLAYERS. International Journal of Sports Physical Therapy. 12(6). 960–966. 13 indexed citations

15.

Clifton, Daniel R., Rachel M. Koldenhoven, Jay Hertel, et al.. (2016). Epidemiological Patterns of Ankle Sprains in Youth, High School, and College Football. The American Journal of Sports Medicine. 45(2). 417–425. 26 indexed citations

16.

Oñate, James A., Joshua S. Everhart, Daniel R. Clifton, et al.. (2015). Physical Exam Risk Factors for Lower Extremity Injury in High School Athletes. Clinical Journal of Sport Medicine. 26(6). 435–444. 22 indexed citations

17.

Clifton, Daniel R., Dustin R. Grooms, & James A. Oñate. (2015). OVERHEAD DEEP SQUAT PERFORMANCE PREDICTS FUNCTIONAL MOVEMENT SCREEN™ SCORE.. PubMed. 10(5). 622–7. 22 indexed citations

18.

Clifton, Daniel R., et al.. (2015). Deep Squat Score Predicts Functional Movement Screen Performance. Medicine & Science in Sports & Exercise. 47(5S). 649–649. 3 indexed citations

19.

Clifton, Daniel R., et al.. (2012). Relationship Between Functional Assessments and Exercise-Related Changes During Static Balance. The Journal of Strength and Conditioning Research. 27(4). 966–972. 21 indexed citations

20.

Doherty, John, et al.. (2007). Operations Based Optimisation Using Simulation and CFD. 45th AIAA Aerospace Sciences Meeting and Exhibit. 1 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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