Daniel P. Windred

602 total citations · 1 hit paper
15 papers, 268 citations indexed

About

Daniel P. Windred is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Physiology. According to data from OpenAlex, Daniel P. Windred has authored 15 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrine and Autonomic Systems, 10 papers in Experimental and Cognitive Psychology and 5 papers in Physiology. Recurrent topics in Daniel P. Windred's work include Circadian rhythm and melatonin (10 papers), Sleep and related disorders (8 papers) and Sleep and Wakefulness Research (4 papers). Daniel P. Windred is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Sleep and related disorders (8 papers) and Sleep and Wakefulness Research (4 papers). Daniel P. Windred collaborates with scholars based in Australia, United States and United Kingdom. Daniel P. Windred's co-authors include Andrew J. K. Phillips, Sean W. Cain, Martin K. Rutter, Jacqueline M. Lane, Angus C. Burns, Richa Saxena, Patrick Olivier, Céline Vetter, Chris Ho Ching Yeung and Qian Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes Care and Scientific Reports.

In The Last Decade

Daniel P. Windred

12 papers receiving 264 citations

Hit Papers

align trajectories

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.

Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study

2023 101 citations Daniel P. Windred, Angus C. Burns et al. SLEEP profile →

Peers

Daniel P. Windred

ECP

EAS

PHYSI

GPC

Hannah Ritchie United States

María José Martínez-Madrid Spain

Altuğ Didikoğlu United Kingdom

Evgeniy G. Verevkin Russia

Eva Fárková Czechia

Nancy Wells United States

Lena Katharina Keller Germany

Melissa Alves Braga de Oliveira Brazil

Bart D. Billy United States

Nevin F. W. Zaki Egypt

Hannah Ritchie United States

Daniel P. Windred

147 ×1.0

ECP

198 ×1.9

EAS

89 ×1.2

74 ×1.1

PHYSI

51 ×1.6

GPC

Citations per year, relative to Daniel P. Windred Daniel P. Windred (= 1×) peers Hannah Ritchie

Countries citing papers authored by Daniel P. Windred

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Windred

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Windred

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Windred. A scholar is included among the top collaborators of Daniel P. Windred 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 P. Windred. Daniel P. Windred is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Mittinty, Murthy, Hannah Scott, Bastien Lechat, et al.. (2025). Health Related Quality of Life and Sleep Regularity Among Middle‐Aged to Older Adults From the Community. Journal of Sleep Research. 35(2). e70194–e70194.

Yeung, Chris Ho Ching, Alison K. Wright, Daniel P. Windred, et al.. (2025). Impaired Rest–Activity Rhythm Characteristics Predict Higher Risk of Incident Type 2 Diabetes in UK Biobank Participants. Diabetes Care. 48(8). 1425–1433. 1 indexed citations

Windred, Daniel P., Angus C. Burns, Jacqueline M. Lane, et al.. (2025). Light Exposure at Night and Cardiovascular Disease Incidence. JAMA Network Open. 8(10). e2539031–e2539031. 1 indexed citations

Windred, Daniel P., Clare Anderson, Katherine J. Jeppe, et al.. (2024). Higher central circadian temperature amplitude is associated with greater metabolite rhythmicity in humans. Scientific Reports. 14(1). 16796–16796. 9 indexed citations

Meaklim, Hailey, et al.. (2024). Perfect Enough to Sleep? Perfectionism and Actigraphy-Determined Markers of Insomnia. Behavioral Sleep Medicine. 22(5). 709–724. 2 indexed citations

Reynolds, Amy C., Daniel P. Windred, Andrew J. K. Phillips, et al.. (2024). The interrelationships between sleep regularity, obstructive sleep apnea, and hypertension in a middle-aged community population. SLEEP. 47(3). 15 indexed citations

Windred, Daniel P., Angus C. Burns, Jacqueline M. Lane, et al.. (2024). Brighter nights and darker days predict higher mortality risk: A prospective analysis of personal light exposure in >88,000 individuals. Proceedings of the National Academy of Sciences. 121(43). e2405924121–e2405924121. 22 indexed citations

Windred, Daniel P., Angus C. Burns, Martin K. Rutter, et al.. (2024). Personal light exposure patterns and incidence of type 2 diabetes: analysis of 13 million hours of light sensor data and 670,000 person-years of prospective observation. The Lancet Regional Health - Europe. 42. 100943–100943. 27 indexed citations

Goodman, Matthew, Hassan S. Dashti, Jacqueline M. Lane, et al.. (2023). Causal Association Between Subtypes of Excessive Daytime Sleepiness and Risk of Cardiovascular Diseases. Journal of the American Heart Association. 12(24). e030568–e030568. 7 indexed citations

10.

Windred, Daniel P., Angus C. Burns, Jacqueline M. Lane, et al.. (2023). Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study. SLEEP. 47(1). 101 indexed citations breakdown →

11.

Burns, Angus C., Daniel P. Windred, Martin K. Rutter, et al.. (2023). 0307 Day and night light exposure are associated with psychiatric disorders: An objective light study in >80,000 people. SLEEP. 46(Supplement_1). A136–A136.

12.

Burns, Angus C., Daniel P. Windred, Martin K. Rutter, et al.. (2023). Day and night light exposure are associated with psychiatric disorders: an objective light study in >85,000 people. Nature Mental Health. 1(11). 853–862. 47 indexed citations

13.

Windred, Daniel P., et al.. (2022). O020 Sleep regularity is a stronger predictor of all-cause mortality than sleep duration or sleep efficiency in ~60 000 UK Biobank participants. SLEEP Advances. 3(Supplement_1). A8–A8.

14.

Casanova, Francesco, Samuel E. Jones, Saskia P. Hagenaars, et al.. (2021). Using Mendelian Randomisation methods to understand whether diurnal preference is causally related to mental health. Molecular Psychiatry. 26(11). 6305–6316. 26 indexed citations

15.

Windred, Daniel P., J. Stone, Elise M. McGlashan, Sean W. Cain, & Andrew J. K. Phillips. (2021). Attitudes Towards Sleep as a Time Commitment are Associated with Sleep Regularity. Behavioral Sleep Medicine. 19(6). 732–743. 10 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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