Christopher M. Modlesky

2.6k total citations
76 papers, 2.0k citations indexed

About

Christopher M. Modlesky is a scholar working on Psychiatry and Mental health, Orthopedics and Sports Medicine and Physiology. According to data from OpenAlex, Christopher M. Modlesky has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Psychiatry and Mental health, 30 papers in Orthopedics and Sports Medicine and 25 papers in Physiology. Recurrent topics in Christopher M. Modlesky's work include Cerebral Palsy and Movement Disorders (37 papers), Body Composition Measurement Techniques (19 papers) and Nutrition and Health in Aging (19 papers). Christopher M. Modlesky is often cited by papers focused on Cerebral Palsy and Movement Disorders (37 papers), Body Composition Measurement Techniques (19 papers) and Nutrition and Health in Aging (19 papers). Christopher M. Modlesky collaborates with scholars based in United States, United Kingdom and China. Christopher M. Modlesky's co-authors include Richard D. Lewis, Freeman Miller, Kirk J. Cureton, Gary A. Dudley, Barry M. Prior, M. A. Sloniger, Ellen M. Evans, Jill M. Slade, Michael Saunders and Daniel G. Whitney and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Christopher M. Modlesky

72 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher M. Modlesky United States 26 715 649 633 373 295 76 2.0k
Tishya A. L. Wren United States 27 1.0k 1.4× 519 0.8× 800 1.3× 836 2.2× 369 1.3× 89 2.8k
Laurent Maı̈moun France 27 847 1.2× 594 0.9× 247 0.4× 376 1.0× 412 1.4× 89 2.2k
Christine M. Snow United States 30 1.8k 2.5× 1.1k 1.7× 223 0.4× 466 1.2× 241 0.8× 69 2.8k
Francisco Alburquerque‐Sendín Spain 31 533 0.7× 307 0.5× 262 0.4× 1.1k 2.8× 296 1.0× 107 2.9k
Cosimo Roberto Russo Italy 21 632 0.9× 1.9k 2.9× 371 0.6× 351 0.9× 129 0.4× 33 3.1k
Alejandro Luque-Suárez Spain 23 310 0.4× 152 0.2× 435 0.7× 563 1.5× 184 0.6× 70 1.9k
Andrea Stancati Italy 15 305 0.4× 177 0.3× 260 0.4× 740 2.0× 252 0.9× 23 2.0k
Shea Palmer United Kingdom 26 251 0.4× 365 0.6× 208 0.3× 809 2.2× 92 0.3× 104 2.1k
Katherine Brooke‐Wavell United Kingdom 25 835 1.2× 540 0.8× 132 0.2× 245 0.7× 136 0.5× 83 1.7k
Matthias Buchner Germany 25 382 0.5× 232 0.4× 334 0.5× 579 1.6× 280 0.9× 55 1.8k

Countries citing papers authored by Christopher M. Modlesky

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Modlesky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Modlesky

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Modlesky. A scholar is included among the top collaborators of Christopher M. Modlesky 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 Christopher M. Modlesky. Christopher M. Modlesky 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.
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McCully, Kevin K., et al.. (2024). Elevated blood pressure in children with cerebral palsy and its relationship with adiposity and physical activity. Disability and health journal. 17(4). 101643–101643.
3.
Lee, Junsoo, et al.. (2023). Cardiometabolic Risk and Its Relationship With Visceral Adiposity in Children With Cerebral Palsy. Journal of the Endocrine Society. 7(4). bvad014–bvad014. 6 indexed citations
4.
Tracy, James, Benjamin C. Conner, Henry Wright, et al.. (2021). The construct and concurrent validity of brief standing sway assessments in children with and without cerebral palsy. Gait & Posture. 84. 293–299. 6 indexed citations
5.
Crenshaw, Jeremy R., Benjamin C. Conner, James Tracy, et al.. (2020). Anteroposterior balance reactions in children with spastic cerebral palsy. Developmental Medicine & Child Neurology. 62(6). 700–708. 10 indexed citations
6.
Modlesky, Christopher M. & Chuan Zhang. (2020). Complicated Muscle-Bone Interactions in Children with Cerebral Palsy. Current Osteoporosis Reports. 18(1). 47–56. 11 indexed citations
7.
8.
Zhang, Chuan, Daniel G. Whitney, Harshvardhan Singh, et al.. (2018). Statistical Models to Assess Leg Muscle Mass in Ambulatory Children With Spastic Cerebral Palsy Using Dual-Energy X-Ray Absorptiometry. Journal of Clinical Densitometry. 22(3). 391–400. 4 indexed citations
9.
Kindler, Joseph M., Norman K. Pollock, Christopher M. Modlesky, et al.. (2017). Obese Versus Normal-Weight Late-Adolescent Females have Inferior Trabecular Bone Microarchitecture: A Pilot Case-Control Study. Calcified Tissue International. 101(5). 479–488. 13 indexed citations
10.
Whitney, Daniel G., Harshvardhan Singh, Freeman Miller, et al.. (2016). Cortical bone deficit and fat infiltration of bone marrow and skeletal muscle in ambulatory children with mild spastic cerebral palsy. Bone. 94. 90–97. 88 indexed citations
11.
Logan, Samuel W., et al.. (2011). The Relationship Between Motor Skill Proficiency and Body Mass Index in Preschool Children. Research Quarterly for Exercise and Sport. 82(3). 442–448. 63 indexed citations
12.
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Getchell, Nancy, et al.. (2009). Using Grasping Tasks to Evaluate Hand Force Coordination in Children With Hemiplegic Cerebral Palsy. Archives of Physical Medicine and Rehabilitation. 90(8). 1439–1442. 6 indexed citations
14.
Johnson, David L., et al.. (2008). Adipose Tissue Infiltration of Skeletal Muscle in Children with Cerebral Palsy. The Journal of Pediatrics. 154(5). 715–720.e1. 94 indexed citations
15.
Evans, Ellen M., Barry M. Prior, Christopher M. Modlesky, et al.. (2006). Muscularidad y Densidad de la Masa Libre de Grasa en Atletas. 2 indexed citations
16.
Stein, Elizabeth, Emma Laing, Daniel B Hall, et al.. (2006). Serum 25-hydroxyvitamin D concentrations in girls aged 4–8 y living in the southeastern United States. American Journal of Clinical Nutrition. 83(1). 75–81. 55 indexed citations
17.
Pollock, Norman K., et al.. (2006). Former college artistic gymnasts maintain higher BMD: a nine-year follow-up. Osteoporosis International. 17(11). 1691–1697. 27 indexed citations
18.
Slade, Jill M., C. Scott Bickel, Christopher M. Modlesky, Sharmila Majumdar, & Gary A. Dudley. (2004). Trabecular bone is more deteriorated in spinal cord injured versus estrogen-free postmenopausal women. Osteoporosis International. 16(3). 263–272. 54 indexed citations
19.
Modlesky, Christopher M. & Richard D. Lewis. (2002). Does Exercise During Growth Have a Long-Term Effect on Bone Health?. Exercise and Sport Sciences Reviews. 30(4). 171–176. 37 indexed citations
20.
Modlesky, Christopher M., Ellen M. Evans, Mindy Millard‐Stafford, et al.. (1999). Impact of bone mineral estimates on percent fat estimates from a four-component model. Medicine & Science in Sports & Exercise. 31(12). 1861–1861. 17 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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