Will Lawn

2.2k citations
60 papers · 1.2k indexed · h-index 20

Will Lawn

56 papers receiving 1.2k citations

Peers

Will Lawn
Comparison fields: 5 of 84
  • Toxicology 143
  • Pharmacology 587
  • Biological Psychiatry 80
  • Cellular and Molecular Neuroscience 472
  • Clinical Psychology 482
Replace Christopher D. Verrico with:
Christopher D. Verrico United States
Matthew J. Baggott United States
Patrik Roser Germany
R. Andrew Sewell United States
Amir Englund United Kingdom
Leslie H. Lundahl United States
Valerie H. Curran United Kingdom
Rafael Faria Sanches Brazil
John J. Mariani United States
Mark T. Wagner United States
Will Lawn relative to Christopher D. Verrico United States Christopher D. Verrico's profile →
Citations per field
00.5×1.5×
Christopher D. Verrico · 1×
Citations per year

Countries citing papers authored by Will Lawn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Will Lawn Line = papers co-authored together Will Lawn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20251
5 20242
6 202410
7 20236
8 202324
9 202311
10 20233
11 20235
12 20227
13 201952
14 201883
15 201755
16 201715
17 201722
18 201691
19 20167
20 201520

About Will Lawn

Will Lawn is a scholar working on Pharmacology, Toxicology, Biological Psychiatry, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, 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), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers), Psychedelics and Drug Studies (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, Sunjeev K. Kamboj and H. Valerie Curran. 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.

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