Luke J. Ney
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 22
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms 19
- Sleep and Wakefulness Research 8
- Pharmacology top 5%
- Cannabis and Cannabinoid Research 18
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 12
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- Neuroscience and Neuropharmacology Research 6
- Neurotransmitter Receptor Influence on Behavior 6
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- Neuroendocrine regulation and behavior 6
- Co-authors
- Kim L. FelminghamAllison MatthewsRaimondo BrunoAndrea GogosDavid S. NicholsTamsyn E. Van RheenenDaniel V. ZujOttmar V. Lipp
- Journals
- Behaviour Research and Therapy (7 papers)Psychophysiology (6 papers)Neuroscience & Biobehavioral Reviews (5 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Luke J. Ney
52 papers receiving 814 citations
Peers
Comparison fields: 5 of 92
- Behavioral Neuroscience 194
- Biological Psychiatry 61
- Cognitive Neuroscience 305
- Pharmacology 263
- Experimental and Cognitive Psychology 158
Countries citing papers authored by Luke J. Ney
This map shows the geographic impact of Luke J. Ney'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 Luke J. Ney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke J. Ney more than expected).
Fields of papers citing papers by Luke J. Ney
This network shows the impact of papers produced by Luke J. Ney. 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 Luke J. Ney. The network helps show where Luke J. Ney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luke J. Ney, 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 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 43 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 125 | |
| 18 | 2019 | 51 | |
| 19 | 2018 | 40 | |
| 20 | 2018 | 51 |
About Luke J. Ney
Luke J. Ney is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cognitive Neuroscience, having authored 55 papers that have together received 815 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (22 papers), Memory and Neural Mechanisms (19 papers), Cannabis and Cannabinoid Research (18 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers), Sleep and Wakefulness Research (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroendocrine regulation and behavior (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Behavioral Neuroscience (194 citations), Biological Psychiatry (61 citations) and Cognitive Neuroscience (305 citations). Luke J. Ney has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kim L. Felmingham, Allison Matthews, Raimondo Bruno, Andrea Gogos, David S. Nichols, Tamsyn E. Van Rheenen, Daniel V. Zuj, Ottmar V. Lipp, Simon Dymond and Trevor Steward. Their work appears in journals such as Behaviour Research and Therapy, Psychophysiology, Neuroscience & Biobehavioral Reviews, Scientific Reports and Psychoneuroendocrinology.
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.