Frances A. Tylavsky

28.0k total citations · 10 hit papers
203 papers, 19.8k citations indexed

About

Frances A. Tylavsky is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Orthopedics and Sports Medicine. According to data from OpenAlex, Frances A. Tylavsky has authored 203 papers receiving a total of 19.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Physiology, 67 papers in Public Health, Environmental and Occupational Health and 39 papers in Orthopedics and Sports Medicine. Recurrent topics in Frances A. Tylavsky's work include Nutrition and Health in Aging (52 papers), Bone health and osteoporosis research (37 papers) and Body Composition Measurement Techniques (36 papers). Frances A. Tylavsky is often cited by papers focused on Nutrition and Health in Aging (52 papers), Bone health and osteoporosis research (37 papers) and Body Composition Measurement Techniques (36 papers). Frances A. Tylavsky collaborates with scholars based in United States, Netherlands and Finland. Frances A. Tylavsky's co-authors include Anne B. Newman, Stephen B. Kritchevsky, Marjolein Visser, Tamara B. Harris, Bret H. Goodpaster, Ann V. Schwartz, Michael C. Nevitt, Jane A. Cauley, Eleanor M. Simonsick and Nathalie de Rekeneire and has published in prestigious journals such as JAMA, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Frances A. Tylavsky

201 papers receiving 19.2k citations

Hit Papers

The Loss of Skeletal Musc... 2003 2026 2010 2018 2006 2008 2005 2003 2007 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Loss of Skeletal Muscle Strength, Mass, and Quality in Older Adults: The Health, Aging and Body Composition Study
    2006 2.2k citations Bret H. Goodpaster, Stephen B. Kritchevsky et al. The Journals of Gerontology Series A profile →
  2. Dietary protein intake is associated with lean mass change in older, community-dwelling adults: the Health, Aging, and Body Composition (Health ABC) Study
    2008 896 citations Denise K. Houston, Barbara J. Nicklas et al. American Journal of Clinical Nutrition profile →
  3. Prognostic Value of Usual Gait Speed in Well‐Functioning Older People—Results from the Health, Aging and Body Composition Study
    2005 894 citations Stephen B. Kritchevsky, Barbara J. Nicklas et al. profile →
  4. Sarcopenia: Alternative Definitions and Associations with Lower Extremity Function
    2003 766 citations Anne B. Newman, Marjolein Visser et al. profile →
  5. Alternative Definitions of Sarcopenia, Lower Extremity Performance, and Functional Impairment with Aging in Older Men and Women
    2007 642 citations Matthew J. Delmonico, Tamara B. Harris et al. profile →
  6. Excessive Loss of Skeletal Muscle Mass in Older Adults With Type 2 Diabetes
    2009 588 citations Bret H. Goodpaster, Nathalie de Rekeneire et al. profile →
  7. Accelerated Loss of Skeletal Muscle Strength in Older Adults With Type 2 Diabetes
    2007 579 citations Bret H. Goodpaster, Elsa S. Strotmeyer et al. profile →
  8. Decreased Muscle Strength and Quality in Older Adults With Type 2 Diabetes
    2006 561 citations Bret H. Goodpaster, Elsa S. Strotmeyer et al. profile →
  9. Higher Inflammatory Marker Levels in Older Persons: Associations With 5-Year Change in Muscle Mass and Muscle Strength
    2009 529 citations Stephen B. Kritchevsky, Anne B. Newman et al. The Journals of Gerontology Series A profile →
  10. Added Value of Physical Performance Measures in Predicting Adverse Health‐Related Events: Results from the Health, Aging and Body Composition Study
    2009 512 citations Stephen B. Kritchevsky, Anne B. Newman et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frances A. Tylavsky United States 67 10.6k 3.6k 2.7k 2.3k 2.3k 203 19.8k
Avan Aihie Sayer United Kingdom 77 14.5k 1.4× 3.4k 0.9× 1.7k 0.6× 5.3k 2.3× 2.1k 0.9× 380 23.4k
Dympna Gallagher United States 73 17.8k 1.7× 5.7k 1.6× 2.0k 0.7× 2.6k 1.1× 1.7k 0.7× 228 28.5k
Mauro Zamboni Italy 61 14.6k 1.4× 2.5k 0.7× 1.2k 0.4× 3.9k 1.6× 1.9k 0.8× 242 21.0k
Fulvio Lauretani Italy 72 7.5k 0.7× 1.8k 0.5× 1.3k 0.5× 2.7k 1.1× 2.4k 1.0× 254 17.7k
Stefania Bandinelli Italy 88 10.3k 1.0× 3.3k 0.9× 1.5k 0.6× 3.9k 1.7× 4.4k 1.9× 390 29.1k
Tamara B. Harris United States 87 9.2k 0.9× 2.9k 0.8× 4.1k 1.5× 1.8k 0.8× 3.5k 1.5× 357 28.1k
Roger A. Fielding United States 82 12.4k 1.2× 1.6k 0.4× 3.6k 1.3× 2.7k 1.1× 4.0k 1.7× 333 23.8k
Peggy M. Cawthon United States 65 9.7k 0.9× 1.6k 0.4× 3.8k 1.4× 4.1k 1.7× 1.3k 0.6× 326 16.9k
Robert Ross Canada 85 20.6k 1.9× 7.9k 2.2× 2.3k 0.9× 2.4k 1.0× 2.3k 1.0× 208 34.8k
William J. Evans United States 78 13.2k 1.2× 2.4k 0.7× 4.9k 1.8× 2.1k 0.9× 4.0k 1.7× 311 25.9k

Countries citing papers authored by Frances A. Tylavsky

Since Specialization
Citations

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

Fields of papers citing papers by Frances A. Tylavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances A. Tylavsky. 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 Frances A. Tylavsky. The network helps show where Frances A. Tylavsky may publish in the future.

Co-authorship network of co-authors of Frances A. Tylavsky

This figure shows the co-authorship network connecting the top 25 collaborators of Frances A. Tylavsky. A scholar is included among the top collaborators of Frances A. Tylavsky 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 Frances A. Tylavsky. Frances A. Tylavsky 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.
Hazlehurst, Marnie F., Anjum Hajat, Pooja S. Tandon, et al.. (2024). Associations of residential green space with internalizing and externalizing behavior in early childhood. Environmental Health. 23(1). 17–17. 4 indexed citations
2.
Enquobahrie, Daniel A., Christine T. Loftus, James W. MacDonald, et al.. (2023). Associations of prenatal exposure to NO2 and near roadway residence with placental gene expression. Placenta. 138. 75–82. 2 indexed citations
3.
Ni, Yu, Claire L. Simpson, Robert L. Davis, et al.. (2022). Associations between APOL1 genetic variants and blood pressure in African American mothers and children from a U.S. pregnancy cohort: Modification by air pollution exposures. Environmental Research. 212(Pt A). 113186–113186. 1 indexed citations
4.
Quraishi, Sabah M., Marnie F. Hazlehurst, Christine T. Loftus, et al.. (2022). Association of prenatal exposure to ambient air pollution with adverse birth outcomes and effect modification by socioeconomic factors. Environmental Research. 212(Pt E). 113571–113571. 19 indexed citations
5.
Albright, Catherine M., Yu Ni, Adam A. Szpiro, et al.. (2022). Associations between Phthalate Exposure and Gestational Age at Delivery in a Diverse Pregnancy Cohort. Toxics. 10(12). 754–754. 5 indexed citations
6.
Loftus, Christine T., Adam A. Szpiro, Tomomi Workman, et al.. (2022). Maternal exposure to urinary polycyclic aromatic hydrocarbons (PAH) in pregnancy and childhood asthma in a pooled multi-cohort study. Environment International. 170. 107494–107494. 23 indexed citations
7.
Barrett, Emily S., Drew B. Day, Sally W. Thurston, et al.. (2022). Prenatal phthalate exposure in relation to placental corticotropin releasing hormone (pCRH) in the CANDLE cohort. Environment International. 160. 107078–107078. 16 indexed citations
8.
Weaver, Ashley A., Janet A. Tooze, Jane A. Cauley, et al.. (2021). Effect of Dietary Protein Intake on Bone Mineral Density and Fracture Incidence in Older Adults in the Health, Aging, and Body Composition Study. The Journals of Gerontology Series A. 76(12). 2213–2222. 17 indexed citations
9.
Ahmad, Shaikh I., Kaja Z. LeWinn, W. Alex Mason, et al.. (2021). Maternal childhood trauma and prenatal stressors are associated with child behavioral health. Journal of Developmental Origins of Health and Disease. 13(4). 483–493. 20 indexed citations
10.
Steine, Iris M., Kaja Z. LeWinn, Nadra E. Lisha, et al.. (2020). Maternal exposure to childhood traumatic events, but not multi-domain psychosocial stressors, predict placental corticotrophin releasing hormone across pregnancy. Social Science & Medicine. 266. 113461–113461. 29 indexed citations
11.
Qi, Qibin, Claudia Menzaghi, Shelly G. Smith, et al.. (2012). Genome-wide association analysis identifies TYW3/CRYZ and NDST4 loci associated with circulating resistin levels. Human Molecular Genetics. 21(21). 4774–4780. 33 indexed citations
12.
Koster, Annemarie, Jianqing Ding, Sari Stenholm, et al.. (2011). Does the Amount of Fat Mass Predict Age-Related Loss of Lean Mass, Muscle Strength, and Muscle Quality in Older Adults?. The Journals of Gerontology Series A. 66A(8). 888–895. 205 indexed citations
13.
Manini, Todd M., James E. Everhart, Stephen D. Anton, et al.. (2009). Activity energy expenditure and change in body composition in late life. American Journal of Clinical Nutrition. 90(5). 1336–1342. 27 indexed citations
14.
Völgyi, Eszter, Frances A. Tylavsky, Arja Lyytikäinen, et al.. (2008). Assessing Body Composition With DXA and Bioimpedance: Effects of Obesity, Physical Activity, and Age. Obesity. 16(3). 700–705. 223 indexed citations
15.
Koster, Annemarie, Brenda W.J.H. Penninx, Anne B. Newman, et al.. (2007). Lifestyle Factors and Incident Mobility Limitation in Obese and Non‐obese Older Adults. Obesity. 15(12). 3122–3132. 86 indexed citations
16.
Visser, Marjolein, Stephen B. Kritchevsky, Anne B. Newman, et al.. (2005). Lower serum albumin concentration and change in muscle mass: the Health, Aging and Body Composition Study. American Journal of Clinical Nutrition. 82(3). 531–537. 165 indexed citations
17.
Shlipak, Michael G., Glenn M. Chertow, Tamara B. Harris, et al.. (2005). Cystatin C and Mortality Risk in the Elderly. Journal of the American Society of Nephrology. 17(1). 254–261. 168 indexed citations
18.
Cheng, Sulin, Arja Lyytikäinen, Heikki Kröger, et al.. (2005). Effects of calcium, dairy product, and vitamin D supplementation on bone mass accrual and body composition in 10–12-y-old girls: a 2-y randomized trial. American Journal of Clinical Nutrition. 82(5). 1115–1126. 165 indexed citations
19.
Cheng, Sulin, Patrick Nicholson, Heikki Kröger, Markku Alén, & Frances A. Tylavsky. (2005). Differences in Estimates of Change of Bone Accrual and Body Composition in Children Because of Scan Mode Selection With the Prodigy Densitometer. Journal of Clinical Densitometry. 8(1). 65–73. 7 indexed citations
20.
Strotmeyer, Elsa S., Jane A. Cauley, Ann V. Schwartz, et al.. (2004). Diabetes Is Associated Independently of Body Composition With BMD and Bone Volume in Older White and Black Men and Women: The Health, Aging, and Body Composition Study. Journal of Bone and Mineral Research. 19(7). 1084–1091. 172 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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