Daniel P. Windred

12 papers receiving 264 citations

Daniel P. Windred's Hit Papers

Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study 2023 · 101 citations
1010+1+2Years since publication255075100

Peers

Daniel P. Windred
Comparison fields: 5 of 47
  • Endocrine and Autonomic Systems 102
  • Experimental and Cognitive Psychology 152
  • Cognitive Neuroscience 74
  • Physiology 65
  • Biological Psychiatry 6
Replace María José Martínez-Madrid with:
María José Martínez-Madrid Spain
Hannah Ritchie United States
Altuğ Didikoğlu United Kingdom
Eva Fárková Czechia
Melissa Alves Braga de Oliveira Brazil
Lena Katharina Keller Germany
Nancy Wells United States
Sophie Faulkner United Kingdom
Evgeniy G. Verevkin Russia
Marina C. Giménez Netherlands
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daniel P. Windred, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel P. Windred Line = papers co-authored together Daniel P. Windred links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study
Hit paper breakdown →
2023101
2 202347
3 202427
4 202126
5 202422
6 202415
7 202110
8 20249
9 20237
10 20242
11 20251
12 20251
13 20230
14 20250
15 20220

About Daniel P. Windred

Daniel P. Windred is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Physiology, Cognitive Neuroscience and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 268 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Sleep and related disorders (8 papers), Sleep and Wakefulness Research (4 papers), Health, Environment, Cognitive Aging (3 papers), Sleep and Work-Related Fatigue (3 papers), Climate Change and Health Impacts (2 papers), Dietary Effects on Health (2 papers) and Obstructive Sleep Apnea Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (102 citations), Experimental and Cognitive Psychology (152 citations), Cognitive Neuroscience (74 citations), Physiology (65 citations) and Biological Psychiatry (6 citations). Daniel P. Windred has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Andrew J. K. Phillips, Sean W. Cain, Martin K. Rutter, Richa Saxena, Angus C. Burns, Jacqueline M. Lane, Patrick Olivier, Céline Vetter, Chris Ho Ching Yeung and Qian Xiao. Their work appears in journals such as SLEEP, Behavioral Sleep Medicine, Scientific Reports, Journal of Sleep Research and JAMA Network Open.

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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