David M. Presby

661 total citations
22 papers, 274 citations indexed

About

David M. Presby is a scholar working on Physiology, Experimental and Cognitive Psychology and Endocrine and Autonomic Systems. According to data from OpenAlex, David M. Presby has authored 22 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Experimental and Cognitive Psychology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in David M. Presby's work include Sleep and related disorders (5 papers), Adipose Tissue and Metabolism (5 papers) and Diet and metabolism studies (4 papers). David M. Presby is often cited by papers focused on Sleep and related disorders (5 papers), Adipose Tissue and Metabolism (5 papers) and Diet and metabolism studies (4 papers). David M. Presby collaborates with scholars based in United States, Switzerland and Australia. David M. Presby's co-authors include Paul S. MacLean, Matthew R. Jackman, Rebecca M. Foright, Vanessa D. Sherk, Janine Higgins, Ginger C. Johnson, Erin D. Giles, Darcy Kahn, Emily R. Capodilupo and Julie A. Houck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

David M. Presby

22 papers receiving 268 citations

Peers

David M. Presby
David M. Presby
Citations per year, relative to David M. Presby David M. Presby (= 1×) peers Chiara Salimei

Countries citing papers authored by David M. Presby

Since Specialization
Citations

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

Fields of papers citing papers by David M. Presby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Presby

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Presby. A scholar is included among the top collaborators of David M. Presby 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 David M. Presby. David M. Presby 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.
Leota, Josh, David M. Presby, Mark É. Czeisler, et al.. (2025). Dose-response relationship between evening exercise and sleep. Nature Communications. 16(1). 3297–3297. 7 indexed citations
2.
Leota, Josh, Mark É. Czeisler, David M. Presby, et al.. (2025). Sleep duration and timing are associated with next-day physical activity: Insights from two large-scale wearable sensor studies. Proceedings of the National Academy of Sciences. 122(27). e2420846122–e2420846122. 2 indexed citations
3.
Presby, David M., et al.. (2025). Inter- and Intrapersonal Associations Between Physiology and Mental Health: A Longitudinal Study Using Wearables and Mental Health Surveys. Journal of Medical Internet Research. 27. e64955–e64955. 1 indexed citations
4.
Presby, David M., et al.. (2024). A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle. npj Digital Medicine. 7(1). 373–373. 3 indexed citations
5.
Hoogewoud, Florence, Bart Liefers, David M. Presby, et al.. (2024). Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases. Nature Communications. 15(1). 9593–9593. 6 indexed citations
6.
Presby, David M., et al.. (2024). Wearable-derived maternal heart rate variability as a novel digital biomarker of preterm birth. PLoS ONE. 19(1). e0295899–e0295899. 5 indexed citations
7.
Vukovich, Matthew D., Abbie E. Smith‐Ryan, Stacy T. Sims, et al.. (2023). Pre-sleep feeding, sleep quality, and markers of recovery in division I NCAA female soccer players. Journal of the International Society of Sports Nutrition. 20(1). 2236055–2236055. 3 indexed citations
8.
Presby, David M., et al.. (2023). Wearable derived cardiovascular responses to stressors in free-living conditions. PLoS ONE. 18(6). e0285332–e0285332. 4 indexed citations
9.
Presby, David M., et al.. (2023). Connection Between Sleep and Psychological Well-Being in U.S. Army Soldiers. Military Medicine. 189(1-2). e40–e48. 5 indexed citations
10.
Trahan, G. Devon, Gregory P. Mullen, David M. Presby, et al.. (2022). Neonatal intake of Omega-3 fatty acids enhances lipid oxidation in adipocyte precursors. iScience. 26(1). 105750–105750. 14 indexed citations
11.
Presby, David M. & Emily R. Capodilupo. (2022). Biometrics from a wearable device reveal temporary effects of COVID-19 vaccines on cardiovascular, respiratory, and sleep physiology. Journal of Applied Physiology. 132(2). 448–458. 10 indexed citations
12.
Sherk, Vanessa D., Chelsea M. Heveran, Rebecca M. Foright, et al.. (2021). Sex differences in the effect of diet, obesity, and exercise on bone quality and fracture toughness. Bone. 145. 115840–115840. 16 indexed citations
13.
Presby, David M., Vanessa D. Sherk, Matthew R. Jackman, et al.. (2021). Lipoprotein Lipase Overexpression in Skeletal Muscle Attenuates Weight Regain by Potentiating Energy Expenditure. Diabetes. 70(4). 867–877. 5 indexed citations
14.
Presby, David M., et al.. (2020). Diverse Signaling by TGFβ Isoforms in Response to Focal Injury is Associated with Either Retinal Regeneration or Reactive Gliosis. Cellular and Molecular Neurobiology. 41(1). 43–62. 22 indexed citations
15.
Foright, Rebecca M., Ginger C. Johnson, Darcy Kahn, et al.. (2020). Compensatory eating behaviors in male and female rats in response to exercise training. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 319(2). R171–R183. 17 indexed citations
16.
Sherk, Vanessa D., Matthew R. Jackman, Janine Higgins, et al.. (2019). Impact of Exercise and Activity on Weight Regain and Musculoskeletal Health Post-Ovariectomy. Medicine & Science in Sports & Exercise. 51(12). 2465–2473. 10 indexed citations
17.
Presby, David M., Matthew R. Jackman, Janine Higgins, et al.. (2019). Regular exercise potentiates energetically expensive hepatic de novo lipogenesis during early weight regain. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 317(5). R684–R695. 5 indexed citations
18.
Foright, Rebecca M., David M. Presby, Vanessa D. Sherk, et al.. (2018). Is regular exercise an effective strategy for weight loss maintenance?. Physiology & Behavior. 188. 86–93. 83 indexed citations
19.
Rudolph, Michael C., Matthew R. Jackman, David M. Presby, et al.. (2017). Low Neonatal Plasma n-6/n-3 PUFA Ratios Regulate Offspring Adipogenic Potential and Condition Adult Obesity Resistance. Diabetes. 67(4). 651–661. 38 indexed citations
20.
Sherk, Vanessa D., Matthew R. Jackman, Erin D. Giles, et al.. (2017). Prior weight loss exacerbates the biological drive to gain weight after the loss of ovarian function. Physiological Reports. 5(10). e13272–e13272. 7 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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