Andrew J. Lawrence
- General Decision Sciences top 2%
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- Neurotransmitter Receptor Influence on Behavior 23
- Neuroscience and Neuropharmacology Research 15
- Neuropeptides and Animal Physiology 11
- Neurology top 1%
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 11
- Psychiatry and Mental health top 1%
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- Advanced Neuroimaging Techniques and Applications 16
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- Receptor Mechanisms and Signaling 13
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- Functional Brain Connectivity Studies 12
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- Cerebrovascular and Carotid Artery Diseases 11
- Co-authors
- Luke ClarkAntonio Verdejo‐GarcíaHugh S. MarkusThomas R. BarrickRobin G. MorrisBarbara J. SahakianJason LutyEva Zeestraten
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Andrew J. Lawrence
114 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- General Decision Sciences 151
- Cellular and Molecular Neuroscience 1.4k
- Neurology 572
- Behavioral Neuroscience 243
- Psychiatry and Mental health 927
Countries citing papers authored by Andrew J. Lawrence
This map shows the geographic impact of Andrew J. Lawrence'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 Andrew J. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Lawrence more than expected).
Fields of papers citing papers by Andrew J. Lawrence
This network shows the impact of papers produced by Andrew J. Lawrence. 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 Andrew J. Lawrence. The network helps show where Andrew J. Lawrence may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew J. Lawrence, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 9 | |
| 17 | Impulsivity as a vulnerability marker for substance-use disorders: Review of findings from high-risk research, problem gamblers and genetic association studiesbreakdown → | 2008 | 1098 |
| 18 | 2005 | 27 | |
| 19 | 1999 | 13 | |
| 20 | 1996 | 29 |
About Andrew J. Lawrence
Andrew J. Lawrence is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 123 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (23 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Neuroscience and Neuropharmacology Research (15 papers), Receptor Mechanisms and Signaling (13 papers), Functional Brain Connectivity Studies (12 papers), Neuropeptides and Animal Physiology (11 papers), Stress Responses and Cortisol (11 papers) and Cerebrovascular and Carotid Artery Diseases (11 papers). The work is most often cited by research in General Decision Sciences (151 citations), Cellular and Molecular Neuroscience (1.4k citations) and Neurology (572 citations). Andrew J. Lawrence has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Luke Clark, Antonio Verdejo‐García, Hugh S. Markus, Thomas R. Barrick, Robin G. Morris, Barbara J. Sahakian, Jason Luty, Eva Zeestraten, Michael S. Cowen and Nicola S. Gray. Their work appears in journals such as Nature, The Lancet and Neuron.
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.