Daniel Hackett

4.0k total citations · 1 hit paper
112 papers, 2.7k citations indexed

About

Daniel Hackett is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Daniel Hackett has authored 112 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Orthopedics and Sports Medicine, 20 papers in Complementary and alternative medicine and 15 papers in Physiology. Recurrent topics in Daniel Hackett's work include Sports Performance and Training (45 papers), Sports injuries and prevention (27 papers) and Cardiovascular and exercise physiology (20 papers). Daniel Hackett is often cited by papers focused on Sports Performance and Training (45 papers), Sports injuries and prevention (27 papers) and Cardiovascular and exercise physiology (20 papers). Daniel Hackett collaborates with scholars based in Australia, United States and Iran. Daniel Hackett's co-authors include Nathan A. Johnson, Mark Halaki, Shelley E. Keating, Jacob George, Chin Moi Chow, Timothy B. Davies, Helen O’Connor, Stephen Cobley, Rhonda Orr and Lachlan Mitchell and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Medicine & Science in Sports & Exercise.

In The Last Decade

Daniel Hackett

99 papers receiving 2.6k citations

Hit Papers

Exercise and non-alcoholi... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Hackett 941 684 618 467 422 112 2.7k
E. Todd Schroeder 648 0.7× 1.0k 1.5× 314 0.5× 303 0.6× 639 1.5× 115 3.3k
J. Stray‐Gundersen 653 0.7× 717 1.0× 319 0.5× 547 1.2× 390 0.9× 78 3.2k
Peter Hofmann 870 0.9× 692 1.0× 203 0.3× 1.1k 2.5× 313 0.7× 159 3.5k
P. G. Snell 650 0.7× 1.3k 1.9× 704 1.1× 881 1.9× 423 1.0× 54 4.1k
Simon von Stengel 1.6k 1.7× 1.8k 2.6× 235 0.4× 634 1.4× 297 0.7× 148 3.9k
Greg D. Wells 506 0.5× 602 0.9× 236 0.4× 466 1.0× 269 0.6× 88 2.7k
Mike Climstein 978 1.0× 535 0.8× 152 0.2× 450 1.0× 145 0.3× 161 2.4k
Serge P. von Duvillard 2.4k 2.5× 862 1.3× 286 0.5× 1.1k 2.4× 499 1.2× 140 4.3k
Julie P. Greeves 1.4k 1.4× 656 1.0× 157 0.3× 98 0.2× 567 1.3× 149 2.7k
Koichi Okita 362 0.4× 737 1.1× 170 0.3× 999 2.1× 219 0.5× 121 2.8k

Countries citing papers authored by Daniel Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hackett

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hackett. A scholar is included among the top collaborators of Daniel Hackett 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 Hackett. Daniel Hackett 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
2.
Wang, Boliang, Mark Halaki, Derek Tran, et al.. (2025). Performance and Perceptual Responses to Cluster Sets in Pneumatic-Resistance Exercises: Impact of Exercise Selection, Sex, and Strength. International Journal of Sports Physiology and Performance. 20(11). 1522–1529.
4.
Dashti, Mohsen, Afsaneh Ghasemzadeh, Ramin Shahidi, et al.. (2024). Estimating Hidden Population Size of COVID-19 using Respondent-DrivenSampling Method - A Systematic Review. Infectious Disorders - Drug Targets. 24(6). e310124226549–e310124226549. 1 indexed citations
5.
Chow, Chin Moi, et al.. (2024). Improvement in physical function and lipid profile following low-intensity resistance training and a lower limb conditioning program in people with diabetic neuropathy. Journal of Bodywork and Movement Therapies. 40. 1123–1131. 1 indexed citations
6.
Mehraeen, Esmaeil, Amir Masoud Afsahi, Ramin Shahidi, et al.. (2023). Hearing loss and COVID-19: an umbrella review. European Archives of Oto-Rhino-Laryngology. 280(8). 3515–3528. 6 indexed citations
7.
Wang, Boliang, Timothy B. Davies, Kimberley L. Way, et al.. (2023). Effect of resistance training on local muscle endurance in middle-aged and older adults: A systematic review with meta-analysis and meta-regression. Archives of Gerontology and Geriatrics. 109. 104954–104954. 5 indexed citations
8.
Hackett, Daniel, Boliang Wang, & Derek Tran. (2023). Effect of Blood Flow Restriction during the Rest Periods of Squats on Accuracy of Estimated Repetitions to Failure. Sports. 12(1). 14–14. 1 indexed citations
9.
Mehraeen, Esmaeil, et al.. (2023). Estimating the Size of the Hidden Population of COVID-19. Infectious Disorders - Drug Targets. 24(2). e311023222945–e311023222945.
10.
Fornusek, Ché, et al.. (2023). Playing Disability Rugby League with Charcot-Marie-Tooth Disease: A Case Study. Sports. 11(2). 21–21.
11.
Shanahan, Phiala E., Ryan Abbott, Michael S. Albergo, et al.. (2023). Sampling QCD field configurations with gauge-equivariant flow models. Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022). 10 indexed citations
12.
Wint, William, A. Mitchell, Neil Alexander, et al.. (2023). Challenges and opportunities of sharing animal health data for research and disease management: a case study of bovine tuberculosis. Revue Scientifique et Technique de l OIE. 42. 75–82. 1 indexed citations
14.
Ahmadizad, Sajad, et al.. (2022). Effect of Lower- versus Higher-Intensity Isometric Handgrip Training in Adults with Hypertension: A Randomized Controlled Trial. Journal of Cardiovascular Development and Disease. 9(9). 287–287. 7 indexed citations
15.
Hackett, Daniel, et al.. (2022). Multiperspective Analysis of Pandemic Impacts on U.S. Import Trade: What Happened, and Why?. Transportation Research Record Journal of the Transportation Research Board. 2677(2). 50–61. 6 indexed citations
16.
Hackett, Daniel, Guy C. Wilson, Lachlan Mitchell, et al.. (2020). Effect of Training Phase on Physical and Physiological Parameters of Male Powerlifters. Sports. 8(8). 106–106. 3 indexed citations
17.
Jones, Matthew D., Michael A. Wewege, Daniel Hackett, Justin Keogh, & Amanda D. Hagstrom. (2020). Sex Differences in Adaptations in Muscle Strength and Size Following Resistance Training in Older Adults: A Systematic Review and Meta-analysis. Sports Medicine. 51(3). 503–517. 65 indexed citations
18.
Wilson, Guy C., et al.. (2019). Acute Effect of Kettlebell Swings on Sprint Performance. Sports. 7(2). 36–36. 4 indexed citations
19.
Hackett, Daniel, et al.. (2018). Effects of a 12-Week Modified German Volume Training Program on Muscle Strength and Hypertrophy—A Pilot Study. Sports. 6(1). 7–7. 16 indexed citations
20.
Hackett, Daniel, et al.. (2017). Predictive ability of the medicine ball chest throw and vertical jump tests for determining muscular strength and power in adolescents. Measurement in Physical Education and Exercise Science. 22(1). 79–87. 24 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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