Will Lawn
Impact in
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
- Treatment of Major Depression
Papers in
- Pharmacology 40
- Cannabis and Cannabinoid Research 36
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- Neurotransmitter Receptor Influence on Behavior 15
- Co-authors
- Celia J. A. Morgan (17 shared papers)Tom P. Freeman (35 shared papers)Adam Winstock (5 shared papers)Ravi Das (9 shared papers)Chandni Hindocha (14 shared papers)Valerie H. Curran (16 shared papers)David Nutt (8 shared papers)Claire Mokrysz (25 shared papers)
- Journals
- Journal of Psychopharmacology (9 papers)Psychopharmacology (8 papers)Addiction (4 papers)Scientific Reports (3 papers)The International Journal of Neuropsychopharmacology (3 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Will Lawn
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Toxicology 143
- Pharmacology 587
- Biological Psychiatry 80
- Cellular and Molecular Neuroscience 472
- Clinical Psychology 482
Countries citing papers authored by Will Lawn
This map shows the geographic impact of Will Lawn'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 Will Lawn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Lawn more than expected).
Fields of papers citing papers by Will Lawn
This network shows the impact of papers produced by Will Lawn. 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 Will Lawn. The network helps show where Will Lawn may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Lawn, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2014 | 100 | |
| 3 | 2016 | 91 | |
| 4 | 2018 | 83 | |
| 5 | 2017 | 73 | |
| 6 | 2015 | 71 | |
| 7 | 2019 | 64 | |
| 8 | 2017 | 55 | |
| 9 | 2019 | 52 | |
| 10 | 2017 | 34 | |
| 11 | 2016 | 31 | |
| 12 | 2015 | 31 | |
| 13 | 2018 | 27 | |
| 14 | 2023 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2017 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2015 | 22 | |
| 19 | 2015 | 20 | |
| 20 | 2020 | 19 |
About Will Lawn
Will Lawn is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Clinical Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (36 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Psychedelics and Drug Studies (9 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers), Bipolar Disorder and Treatment (8 papers), Substance Abuse Treatment and Outcomes (7 papers), Prenatal Substance Exposure Effects (6 papers) and Opioid Use Disorder Treatment (6 papers). The work is most often cited by research in Toxicology (143 citations), Pharmacology (587 citations), Biological Psychiatry (80 citations), Cellular and Molecular Neuroscience (472 citations) and Clinical Psychology (482 citations). Will Lawn has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Celia J. A. Morgan, Tom P. Freeman, Adam Winstock, Ravi Das, Chandni Hindocha, Valerie H. Curran, David Nutt, Claire Mokrysz, H. Valerie Curran and Sunjeev K. Kamboj. Their work appears in journals such as Journal of Psychopharmacology, Psychopharmacology, Addiction, Scientific Reports and The International Journal of Neuropsychopharmacology.
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.