M. Allison Ford

1.1k total citations
45 papers, 751 citations indexed

About

M. Allison Ford is a scholar working on Orthopedics and Sports Medicine, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M. Allison Ford has authored 45 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Orthopedics and Sports Medicine, 12 papers in Physiology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M. Allison Ford's work include Bone health and osteoporosis research (13 papers), Skin Protection and Aging (9 papers) and Body Composition Measurement Techniques (7 papers). M. Allison Ford is often cited by papers focused on Bone health and osteoporosis research (13 papers), Skin Protection and Aging (9 papers) and Body Composition Measurement Techniques (7 papers). M. Allison Ford collaborates with scholars based in United States, Australia and China. M. Allison Ford's co-authors include Vinayak K. Nahar, Martha A. Bass, Jeffrey S. Hallam, Manoj Sharma, Paul Johnson, Robert T. Brodell, E. S. Ford, C Ballew, Ivy Yan Zhao and Takashi Abe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and The Journal of Strength and Conditioning Research.

In The Last Decade

M. Allison Ford

43 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Allison Ford United States 18 186 156 135 122 110 45 751
Jeffrey S. Hallam United States 14 196 1.1× 147 0.9× 50 0.4× 144 1.2× 23 0.2× 47 635
Jody Jackson United States 14 41 0.2× 111 0.7× 59 0.4× 88 0.7× 53 0.5× 22 523
Karin Dam Petersen Denmark 16 217 1.2× 81 0.5× 93 0.7× 167 1.4× 86 0.8× 33 867
Christopher D. Baggett United States 13 308 1.7× 386 2.5× 23 0.2× 104 0.9× 22 0.2× 58 914
Claire Margerison Australia 15 120 0.6× 464 3.0× 16 0.1× 125 1.0× 110 1.0× 78 916
Natalie Herd Australia 12 212 1.1× 102 0.7× 240 1.8× 69 0.6× 3 0.0× 17 652
Susan J. Hall United Kingdom 13 25 0.1× 92 0.6× 38 0.3× 59 0.5× 25 0.2× 27 576
R Martikainen Finland 14 62 0.3× 128 0.8× 28 0.2× 427 3.5× 97 0.9× 16 1.2k
Grzegorz Brożek Poland 17 501 2.7× 154 1.0× 30 0.2× 55 0.5× 5 0.0× 83 945
P. Frimat France 11 128 0.7× 139 0.9× 58 0.4× 90 0.7× 7 0.1× 51 633

Countries citing papers authored by M. Allison Ford

Since Specialization
Citations

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

Fields of papers citing papers by M. Allison Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Allison Ford. 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 M. Allison Ford. The network helps show where M. Allison Ford may publish in the future.

Co-authorship network of co-authors of M. Allison Ford

This figure shows the co-authorship network connecting the top 25 collaborators of M. Allison Ford. A scholar is included among the top collaborators of M. Allison Ford 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 M. Allison Ford. M. Allison Ford 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.
Wilkerson, Amanda H., et al.. (2022). Use of the multi-theory model (MTM) in explaining initiation and sustenance of indoor tanning cessation among college students. Archives of Dermatological Research. 315(2). 191–199. 3 indexed citations
3.
Davis, Robert E., et al.. (2019). Recreational prescription opioid misuse among college students in the USA: An application of the theory of planned behavior. SHILAP Revista de lepidopterología. 6 indexed citations
4.
Sharma, Manoj, et al.. (2018). Predictors of Responsible Drinking or Abstinence Among College Students Who Binge Drink: A Multitheory Model Approach. Journal of Osteopathic Medicine. 118(8). 519–530. 19 indexed citations
5.
Sharma, Manoj, et al.. (2017). Applying Multi-Theory Model (MTM) of Health Behavior Change to Predict Water Consumption Instead of Sugar-Sweetened Beverages.. PubMed. 17(1). e00370–e00370. 27 indexed citations
6.
Hall, Michael E., et al.. (2016). Hooking-Up, Religiosity, and Sexting Among College Students. Journal of Religion and Health. 59(1). 484–496. 10 indexed citations
7.
Sharma, Manoj, et al.. (2016). Using multi-theory model to predict initiation and sustenance of small portion size consumption among college students. Health Promotion Perspectives. 6(3). 137–144. 44 indexed citations
8.
Nahar, Vinayak K., et al.. (2016). Testing multi-theory model (MTM) in predicting initiation andsustenance of physical activity behavior among college students. Health Promotion Perspectives. 6(2). 58–65. 40 indexed citations
9.
Nahar, Vinayak K., et al.. (2015). Skin cancer prevention practices among malignant melanoma survivors: a systematic review. Journal of Cancer Research and Clinical Oncology. 142(6). 1273–1283. 33 indexed citations
10.
Nahar, Vinayak K., et al.. (2015). Sun-related behaviors among individuals previously diagnosed with non-melanoma skin cancer. Indian Journal of Dermatology Venereology and Leprology. 81(6). 568–568. 11 indexed citations
11.
Johnson, A., M. Allison Ford, Tamekia L. Jones, Vinayak K. Nahar, & Jeffrey S. Hallam. (2015). Predictors of Bone Mineral Density in African-American and Caucasian College Aged Women. Health Promotion Perspectives. 5(1). 14–23. 2 indexed citations
12.
Janz, Kathleen F., et al.. (2015). Top 10 Research Questions Related to Physical Activity and Bone Health in Children and Adolescents. Research Quarterly for Exercise and Sport. 86(1). 5–12. 20 indexed citations
13.
Abe, Takashi, Jeremy P. Loenneke, Kaelin C. Young, et al.. (2014). Validity of Ultrasound Prediction Equations for Total and Regional Muscularity in Middle-aged and Older Men and Women. Ultrasound in Medicine & Biology. 41(2). 557–564. 44 indexed citations
14.
Nahar, Vinayak K., M. Allison Ford, Javier F. Boyas, et al.. (2014). Skin cancer preventative behaviors in state park workers: a pilot study. Environmental Health and Preventive Medicine. 19(6). 467–474. 18 indexed citations
15.
Waddell, Dwight E., et al.. (2012). Obesity and Health Risk of Children in the Mississippi Delta. Journal of School Health. 82(10). 478–483. 5 indexed citations
16.
Ford, M. Allison, et al.. (2008). Motivational Signage Increases Physical Activity on a College Campus. Journal of American College Health. 57(2). 242–244. 27 indexed citations
17.
Ford, M. Allison, et al.. (2007). Osteoporosis Knowledge and Attitudes: A Cross-Sectional Study Among College-Age Students. Journal of American College Health. 56(1). 43–48. 17 indexed citations
18.
Bass, Martha A., et al.. (2006). Variables for the Prediction of Femoral Bone Mineral Status in American Women. Southern Medical Journal. 99(2). 115–122. 12 indexed citations
19.
Ford, M. Allison, Martha A. Bass, Lori W. Turner, Andy Mauromoustakos, & B. Sue Graves. (2004). Past and Recent Physical Activity and Bone Mineral Density in College-Aged Women. The Journal of Strength and Conditioning Research. 18(3). 405–405. 13 indexed citations
20.
Ford, E. S., et al.. (2001). Achieving a healthy lifestyle among United States adults: a long way to go.. PubMed. 11(2). 224–31. 44 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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