Daniel V. Zuj
Impact in
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Research Topics
- Sleep and related disorders
Papers in
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- Stress Responses and Cortisol 11
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 11
- Mental Health Research Topics 8
- Sleep and related disorders 4
- Co-authors
- Kim L. FelminghamMatthew A. PalmerSeth D. NorrholmMiriam J.J. LommenJayne MorrissGaëtan MertensEmma NicholsonSimon Dymond
- Journals
- Behaviour Research and Therapy (5 papers)Depression and Anxiety (2 papers)International Journal of Psychophysiology (2 papers)Psychoneuroendocrinology (2 papers)PLoS ONE (2 papers)
- Partner nations
- AustraliaUnited KingdomIceland
In The Last Decade
Daniel V. Zuj
28 papers receiving 586 citations
Peers
Comparison fields: 5 of 49
- Behavioral Neuroscience 191
- Experimental and Cognitive Psychology 232
- Cognitive Neuroscience 312
- Clinical Psychology 187
- Biological Psychiatry 21
Countries citing papers authored by Daniel V. Zuj
This map shows the geographic impact of Daniel V. Zuj'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 V. Zuj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel V. Zuj more than expected).
Fields of papers citing papers by Daniel V. Zuj
This network shows the impact of papers produced by Daniel V. Zuj. 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 V. Zuj. The network helps show where Daniel V. Zuj may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel V. Zuj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 74 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 40 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 64 | |
| 17 | 2017 | 12 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 14 | |
| 20 | 2016 | 107 |
About Daniel V. Zuj
Daniel V. Zuj is a scholar working on Behavioral Neuroscience, Experimental and Cognitive Psychology, Cognitive Neuroscience, Clinical Psychology and General Decision Sciences, having authored 30 papers that have together received 587 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (11 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (11 papers), Memory and Neural Mechanisms (10 papers), Posttraumatic Stress Disorder Research (9 papers), Mental Health Research Topics (8 papers), Sleep and related disorders (4 papers), Sleep and Wakefulness Research (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Behavioral Neuroscience (191 citations), Experimental and Cognitive Psychology (232 citations), Cognitive Neuroscience (312 citations), Clinical Psychology (187 citations) and Biological Psychiatry (21 citations). Daniel V. Zuj has collaborated with scholars based in Australia, United Kingdom and Iceland. Frequent co-authors include Kim L. Felmingham, Matthew A. Palmer, Seth D. Norrholm, Miriam J.J. Lommen, Jayne Morriss, Gaëtan Mertens, Emma Nicholson, Simon Dymond, Luke J. Ney and Richard A. Bryant. Their work appears in journals such as Behaviour Research and Therapy, Depression and Anxiety, International Journal of Psychophysiology, Psychoneuroendocrinology and PLoS ONE.
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.