Daniel B. Kay

46 papers receiving 1.2k citations

Peers

Daniel B. Kay
Comparison fields: 5 of 98
  • Experimental and Cognitive Psychology 641
  • Endocrine and Autonomic Systems 179
  • Cognitive Neuroscience 424
  • Biological Psychiatry 14
  • Nephrology 33
Replace Rebecca J. Lepping with:
Rebecca J. Lepping United States
Yoshiro Sugita Japan
Nick Wainwright United Kingdom
Minori Enomoto Japan
Raquel Vilar‐López Spain
Habibolah Khazaie Iran
Andrea Ballesio Italy
Christoph von der Goltz Germany
Gabriel Natan Pires Brazil
Keiko Kim Japan
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Citations per year

Countries citing papers authored by Daniel B. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel B. Kay, 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 B. Kay Line = papers co-authored together Daniel B. Kay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015258
2 2017102
3 201494
4 201673
5 202065
6 198261
7 201853
8 201352
9 200549
10 200749
11 201742
12 201539
13 202336
14 201431
15 201227
16 201924
17 201222
18 202018
19 201417
20 202116

About Daniel B. Kay

Daniel B. Kay is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Endocrine and Autonomic Systems, Clinical Psychology and Social Psychology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sleep and related disorders (26 papers), Sleep and Wakefulness Research (15 papers), Circadian rhythm and melatonin (6 papers), Sleep and Work-Related Fatigue (6 papers), Neuroendocrine regulation and behavior (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Child and Animal Learning Development (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (641 citations), Endocrine and Autonomic Systems (179 citations), Cognitive Neuroscience (424 citations), Biological Psychiatry (14 citations) and Nephrology (33 citations). Daniel B. Kay has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Daniel J. Buysse, Jessica C. Levenson, Joseph M. Dzierzewski, Christina S. McCrae, Martica H. Hall, Anne Germain, Dawn Bowers, Meredeth A. Rowe, Jared J. Tanner and Timothy H. Monk. Their work appears in journals such as SLEEP, Sleep Medicine, Sleep Medicine Clinics, Developmental Psychobiology and Journal of Parkinson s Disease.

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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