Daniel Werb
Impact in
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
- Epidemiology top 10%
- HIV, Drug Use, Sexual Risk
- Substance Abuse Treatment and Outcomes
Papers in ⓘ
- Epidemiology 11
- HIV, Drug Use, Sexual Risk 10
-
- Opioid Use Disorder Treatment 6
- Co-authors
- Evan Wood (8 shared papers)Julio Montaner (7 shared papers)Thomas Kerr (8 shared papers)Kathy Li (3 shared papers)Steffanie A. Strathdee (3 shared papers)Will Small (1 shared paper)Edward J. Mills (1 shared paper)Brandon D. L. Marshall (1 shared paper)
- Journals
- Canadian Medical Association Journal (2 papers)Drug and Alcohol Dependence (2 papers)Journal of Adolescent Health (1 paper)Journal of Public Health Policy (1 paper)European Addiction Research (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daniel Werb
15 papers receiving 416 citations
Peers
Comparison fields: 5 of 61
- Toxicology 38
- Epidemiology 320
- Virology 36
- Infectious Diseases 113
- Public Health, Environmental and Occupational Health 138
Countries citing papers authored by Daniel Werb
This map shows the geographic impact of Daniel Werb'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 Daniel Werb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Werb more than expected).
Fields of papers citing papers by Daniel Werb
This network shows the impact of papers produced by Daniel Werb. 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 Daniel Werb. The network helps show where Daniel Werb may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Werb, 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 | 2007 | 130 | |
| 2 | 2010 | 61 | |
| 3 | 2009 | 43 | |
| 4 | 2008 | 39 | |
| 5 | 2008 | 32 | |
| 6 | 2009 | 24 | |
| 7 | 2008 | 23 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 19 | |
| 10 | Drug treatment courts in Canada: an evidence-based review. | 2007 | 17 |
| 11 | 2021 | 15 | |
| 12 | 2008 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2016 | 1 | |
| 15 | 2022 | 1 |
About Daniel Werb
Daniel Werb is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, General Health Professions, Sociology and Political Science and Pharmacology, having authored 15 papers that have together received 431 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (10 papers), Opioid Use Disorder Treatment (6 papers), Crime, Illicit Activities, and Governance (4 papers), Homelessness and Social Issues (4 papers), Cannabis and Cannabinoid Research (3 papers), HIV/AIDS Research and Interventions (2 papers), Psychedelics and Drug Studies (1 paper) and Architecture and Computational Design (1 paper). The work is most often cited by research in Toxicology (38 citations), Epidemiology (320 citations), Virology (36 citations), Infectious Diseases (113 citations) and Public Health, Environmental and Occupational Health (138 citations). Daniel Werb has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Evan Wood, Julio Montaner, Thomas Kerr, Kathy Li, Steffanie A. Strathdee, Will Small, Edward J. Mills, Brandon D. L. Marshall, Calvin Lai and Kanna Hayashi. Their work appears in journals such as Canadian Medical Association Journal, Drug and Alcohol Dependence, Journal of Adolescent Health, Journal of Public Health Policy and European Addiction Research.
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.