Melody Wu

18 papers receiving 836 citations

Melody Wu's Hit Papers

Trends in U.S. Depression Prevalence From 2015 to 2020: The Widening Treatment Gap 2022 · 305 citations
3050+2+4Years since publication100200300

Peers

Melody Wu
Comparison fields: 5 of 107
  • Applied Psychology 46
  • Biological Psychiatry 19
  • Pharmacology 130
  • Clinical Psychology 139
  • Experimental and Cognitive Psychology 65
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Countries citing papers authored by Melody Wu

Since Specialization
Citations

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

Fields of papers citing papers by Melody Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trends in U.S. Depression Prevalence From 2015 to 2020: The Widening Treatment Gap
Hit paper breakdown →
2022305
2
Trends in anxiety among adults in the United States, 2008–2018: Rapid increases among young adults
Hit paper breakdown →
2020252
3 201865
4 201754
5 202137
6 202232
7 202032
8 201820
9 202214
10 202013
11 20236
12 20225
13 20215
14 20225
15 20203
16
Software project process management maturity and project performance: An examination of Taiwan's software companies
20023
17 20213
18 20211
19 20240
20 20240

About Melody Wu

Melody Wu is a scholar working on Pharmacology, General Health Professions, Epidemiology, Immunology and Infectious Diseases, having authored 21 papers that have together received 855 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (4 papers), Patient Satisfaction in Healthcare (2 papers), Substance Abuse Treatment and Outcomes (2 papers), Adolescent and Pediatric Healthcare (1 paper), Obesity, Physical Activity, Diet (1 paper), Patient Safety and Medication Errors (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Applied Psychology (46 citations), Biological Psychiatry (19 citations), Pharmacology (130 citations), Clinical Psychology (139 citations) and Experimental and Cognitive Psychology (65 citations). Melody Wu has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Renée D. Goodwin, Andrea H. Weinberger, Sandro Galea, June H. Kim, Lisa Dierker, Christina W. Hoven, Katarzyna Wyka, Mark A. Schuster, Sara L. Toomey and David J. Klein. Their work appears in journals such as Drug and Alcohol Dependence, PEDIATRICS, Addiction, Nicotine & Tobacco Research and BMC Gastroenterology.

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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