Kate Pinner
Impact in
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- Circadian rhythm and melatonin
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- Sleep and related disorders
- Sleep and Work-Related Fatigue
Papers in
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- Sleep and related disorders 31
- Sleep and Work-Related Fatigue 2
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- Sleep and Wakefulness Research 27
- Pain Management and Placebo Effect 1
- Mind wandering and attention 1
- Co-authors
- Margaret Moline (33 shared papers)Carlos Perdomo (21 shared papers)Gary Zammit (9 shared papers)Jane Yardley (25 shared papers)Gleb Filippov (7 shared papers)Naoki Kubota (7 shared papers)Yuichi Inoue (6 shared papers)Mikko Kärppä (7 shared papers)
- Journals
- Sleep Medicine (7 papers)SLEEP (7 papers)Neurology (3 papers)American Journal of Geriatric Psychiatry (2 papers)CNS Spectrums (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Kate Pinner
29 papers receiving 444 citations
Peers
Comparison fields: 5 of 55
- Endocrine and Autonomic Systems 245
- Experimental and Cognitive Psychology 383
- Cognitive Neuroscience 385
- Epidemiology 56
- Pharmacology 15
Countries citing papers authored by Kate Pinner
This map shows the geographic impact of Kate Pinner'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 Kate Pinner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Pinner more than expected).
Fields of papers citing papers by Kate Pinner
This network shows the impact of papers produced by Kate Pinner. 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 Kate Pinner. The network helps show where Kate Pinner may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Pinner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2020 | 113 | |
| 3 | 2018 | 54 | |
| 4 | 2021 | 53 | |
| 5 | 2020 | 33 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About Kate Pinner
Kate Pinner is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Endocrine and Autonomic Systems, Epidemiology and Education, having authored 33 papers that have together received 452 indexed citations. Recurring topics across this work include Sleep and related disorders (31 papers), Sleep and Wakefulness Research (27 papers), Circadian rhythm and melatonin (8 papers), Restless Legs Syndrome Research (5 papers), Youth Substance Use and School Attendance (2 papers), Sleep and Work-Related Fatigue (2 papers), Pain Management and Placebo Effect (1 paper) and Mind wandering and attention (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (245 citations), Experimental and Cognitive Psychology (383 citations), Cognitive Neuroscience (385 citations), Epidemiology (56 citations) and Pharmacology (15 citations). Kate Pinner has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Margaret Moline, Carlos Perdomo, Gary Zammit, Jane Yardley, Gleb Filippov, Naoki Kubota, Yuichi Inoue, Mikko Kärppä, Kohei Ishikawa and Patricia Murphy. Their work appears in journals such as Sleep Medicine, SLEEP, Neurology, American Journal of Geriatric Psychiatry and CNS Spectrums.
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.