Will Lawn
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
- Treatment of Major Depression
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
Papers in
- Pharmacology 38
- Cannabis and Cannabinoid Research 34
- Treatment of Major Depression 4
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- Forensic Toxicology and Drug Analysis 5
- Co-authors
- Celia Janet Ann Morgan (17 shared papers)Helen Valerie Curran (36 shared papers)Tom P. Freeman (36 shared papers)ADAM R. WINSTOCK (5 shared papers)Chandni N Hindocha (13 shared papers)Ravi Das (9 shared papers)David John Nutt (8 shared papers)Claire Mokrysz (25 shared papers)
- Journals
- Journal of Psychopharmacology (9 papers)Addiction (9 papers)Psychopharmacology (8 papers)Neuropsychopharmacology (4 papers)Drug and Alcohol Review (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Will Lawn
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Pharmacology 711
- Toxicology 138
- Biological Psychiatry 91
- Clinical Psychology 499
- Cellular and Molecular Neuroscience 396
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 127 | |
| 2 | 2018 | 123 | |
| 3 | 2022 | 118 | |
| 4 | 2014 | 112 | |
| 5 | 2018 | 89 | |
| 6 | 2017 | 79 | |
| 7 | 2015 | 73 | |
| 8 | 2021 | 72 | |
| 9 | 2019 | 71 | |
| 10 | 2017 | 63 | |
| 11 | 2019 | 58 | |
| 12 | 2017 | 37 | |
| 13 | 2015 | 33 | |
| 14 | 2016 | 33 | |
| 15 | 2018 | 30 | |
| 16 | 2022 | 30 | |
| 17 | 2020 | 28 | |
| 18 | 2023 | 28 | |
| 19 | 2021 | 24 | |
| 20 | 2015 | 24 |
About Will Lawn
Will Lawn is a scholar working on Pharmacology, Toxicology, Clinical Psychology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (34 papers), Psychedelics and Drug Studies (8 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Forensic Toxicology and Drug Analysis (5 papers), Opioid Use Disorder Treatment (5 papers), Bipolar Disorder and Treatment (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Treatment of Major Depression (4 papers). The work is most often cited by research in Pharmacology (711 citations), Toxicology (138 citations), Biological Psychiatry (91 citations), Clinical Psychology (499 citations) and Cellular and Molecular Neuroscience (396 citations). Will Lawn has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Celia Janet Ann Morgan, Helen Valerie Curran, Tom P. Freeman, ADAM R. WINSTOCK, Chandni N Hindocha, Ravi Das, David John Nutt, Claire Mokrysz, Matthew B. Wall and Evgeny M. Krupitsky. Their work appears in journals such as Journal of Psychopharmacology, Addiction, Psychopharmacology, Neuropsychopharmacology and Drug and Alcohol Review.
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.