Li‐Tzy Wu

11.4k total citations · 1 hit paper
215 papers, 8.3k citations indexed

About

Li‐Tzy Wu is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Li‐Tzy Wu has authored 215 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Epidemiology, 83 papers in Public Health, Environmental and Occupational Health and 51 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Li‐Tzy Wu's work include Substance Abuse Treatment and Outcomes (112 papers), Opioid Use Disorder Treatment (69 papers) and Prenatal Substance Exposure Effects (48 papers). Li‐Tzy Wu is often cited by papers focused on Substance Abuse Treatment and Outcomes (112 papers), Opioid Use Disorder Treatment (69 papers) and Prenatal Substance Exposure Effects (48 papers). Li‐Tzy Wu collaborates with scholars based in United States, China and Japan. Li‐Tzy Wu's 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 and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Li‐Tzy Wu

205 papers receiving 8.0k citations

Hit Papers

Treatment utilization among persons with opioid use disor... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Li‐Tzy Wu
Comparison fields: 5 of 154
  • Epidemiology 3.7k
  • Public Health, Environmental and Occupational Health 2.5k
  • Clinical Psychology 1.9k
  • General Health Professions 1.7k
  • Pediatrics, Perinatology and Child Health 1.3k
Replace Robert Ali with:
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John Marsden United Kingdom
Sílvia S. Martins United States
Beth Han United States
Richard Saitz United States
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Robert Ali Australia View profile →
Citations per field, relative to Li‐Tzy Wu
Li‐Tzy Wu · 1×
Citations per year, relative to Li‐Tzy Wu
Li‐Tzy Wu · 1×

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-authorship network of co-authors of Li‐Tzy Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Tzy Wu. A scholar is included among the top collaborators of Li‐Tzy Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Tzy Wu. Li‐Tzy Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 0
6 8
7 27
8
Trends in Drug Use–Associated Infective Endocarditis and Heart Valve Surgery, 2007 to 2017
8
9 116
10 7
11 29
12 8
13 10
14 21
15 54
16 35
17 8
18 76
19 65
20 98

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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