Li‐Tzy Wu

205 papers receiving 8.0k citations

Li‐Tzy Wu's Hit Papers

Treatment utilization among persons with opioid use disorder in the United States 2016 · 274 citations
2740+3+6Years since publication50100150200250

Peers

Li‐Tzy Wu
Comparison fields: 5 of 154
  • Epidemiology 3.7k
  • Toxicology 353
  • Clinical Psychology 1.9k
  • Public Health, Environmental and Occupational Health 2.5k
  • Pharmacology 1.3k
Replace Beth Han with:
Beth Han United States
Linda B. Cottler United States
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Li‐Tzy Wu relative to Beth Han United States Beth Han's profile →
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Citations per year

Countries citing papers authored by Li‐Tzy Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Tzy Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Tzy Wu. 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 Li‐Tzy Wu. The network helps show where Li‐Tzy Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Treatment utilization among persons with opioid use disorder in the United States
Hit paper breakdown →
2016274
2 2014259
3 1999238
4 2009232
5 2006220
6 2016180
7 2011170
8 2018168
9 2010166
10 1999157
11 2009143
12 2016127
13 2012126
14 2007124
15 2007117
16 2017116
17 2006111
18 2013108
19 2002104
20 2018103

About Li‐Tzy Wu

Li‐Tzy Wu is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Pharmacology and General Health Professions, having authored 215 papers that have together received 8.3k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (112 papers), Opioid Use Disorder Treatment (69 papers), Prenatal Substance Exposure Effects (48 papers), Cannabis and Cannabinoid Research (26 papers), Mental Health Treatment and Access (25 papers), Homelessness and Social Issues (23 papers), Alcohol Consumption and Health Effects (21 papers) and Smoking Behavior and Cessation (18 papers). The work is most often cited by research in Epidemiology (3.7k citations), Toxicology (353 citations), Clinical Psychology (1.9k citations), Public Health, Environmental and Occupational Health (2.5k citations) and Pharmacology (1.3k citations). Li‐Tzy Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dan G. Blazer, Daniel J. Pilowsky, Shawna L. Carroll Chapman, He Zhu, William E. Schlenger, Marvin S. Swartz, James C. Anthony, Paolo Mannelli, William S. John and Ashwin A. Patkar. Their work appears in journals such as Drug and Alcohol Dependence, Journal of Psychiatric Research, Substance Use & Misuse, Psychiatric Services and Addictive Behaviors.

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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