Austin Le

34 papers receiving 457 citations

Peers

Austin Le
Comparison fields: 5 of 101
  • Toxicology 142
  • Clinical Psychology 171
  • Pharmacology 134
  • Applied Psychology 21
  • Biological Psychiatry 10
Replace Patricia Acosta with:
Patricia Acosta United States
Brendan Quinn Australia
R. Andrew Yockey United States
Deborah Galvin United States
Emérita Sátiro Opaleye Brazil
John A. Hopper United States
Hamid Ghodse United Kingdom
S. K. Mattoo India
Shalini Arunogiri Australia
Arbi Ben‐Abdallah United States
Austin Le relative to Patricia Acosta United States Patricia Acosta's profile →
Citations per field
00.5×1.5×2.5×
Patricia Acosta · 1×
Citations per year

Countries citing papers authored by Austin Le

Since Specialization
Citations

This map shows the geographic impact of Austin Le'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 Austin Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Le more than expected).

Fields of papers citing papers by Austin Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin Le. 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 Austin Le. The network helps show where Austin Le may publish in the future.

Co-authors

The 25 scholars most cited alongside Austin Le, 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 Austin Le Line = papers co-authored together Austin Le links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201946
2 202331
3 202131
4 202130
5 201828
6 201927
7 201826
8 202126
9 202124
10 202023
11 202018
12 201918
13 201917
14 201816
15 202115
16 201814
17 202114
18 202011
19 20179
20 20238

About Austin Le

Austin Le is a scholar working on Toxicology, Epidemiology, Pharmacology, Clinical Psychology and Sociology and Political Science, having authored 35 papers that have together received 470 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (12 papers), Substance Abuse Treatment and Outcomes (11 papers), Cannabis and Cannabinoid Research (11 papers), Psychedelics and Drug Studies (8 papers), Opioid Use Disorder Treatment (7 papers), Prenatal Substance Exposure Effects (5 papers), Survey Methodology and Nonresponse (4 papers) and Smoking Behavior and Cessation (3 papers). The work is most often cited by research in Toxicology (142 citations), Clinical Psychology (171 citations), Pharmacology (134 citations), Applied Psychology (21 citations) and Biological Psychiatry (10 citations). Austin Le has collaborated with scholars based in United States and Belgium. Frequent co-authors include Joseph J. Palamar, Charles M. Cleland, Benjamin H. Han, Patricia Acosta, Pedro Mateu‐Gelabert, Linda B. Cottler, Katherine M. Keyes, Lewis S. Nelson, R. Andrew Yockey and Honoria Guarino. Their work appears in journals such as Drug and Alcohol Dependence, Journal of Psychoactive Drugs, International Journal of Drug Policy, Substance Use & Misuse and International Journal of Environmental Research and Public Health.

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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