Julia Wu

26 papers receiving 1.8k citations

Hit Papers

COVID-19 vaccine acceptance among pregnant women and mothers of young children: results of a survey in 16 countries 2021 · 382 citations
3822007202620132019100200300400500

Peers

Julia Wu
Comparison fields: 5 of 126
  • Virology 609
  • Health 594
  • Obstetrics and Gynecology 355
  • Infectious Diseases 800
  • Emergency Medicine 406
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Peter Holck United States
Sarah Kulkarni United States
Wei‐Ti Chen United States
Michael Scanlon United States
Clíona Ní Cheallaigh Ireland
Xiuhong Li China
Damon J. Vidrine United States
Yifei Hu China
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Citations per year

Countries citing papers authored by Julia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Julia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The prevalence and incidence of neurocognitive impairment in the HAART era
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2007504
2
COVID-19 vaccine acceptance among pregnant women and mothers of young children: results of a survey in 16 countries
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2021382
3 2020319
4 201587
5 201785
6 200380
7 202163
8 200760
9 200950
10 200947
11 202132
12 200930
13 201724
14 201020
15 200518
16 202116
17 201515
18 202114
19 200911
20 20058

About Julia Wu

Julia Wu is a scholar working on Virology, Infectious Diseases, Aging, Emergency Medicine and Obstetrics and Gynecology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (6 papers), HIV-related health complications and treatments (5 papers), Vaccine Coverage and Hesitancy (3 papers), Sharing Economy and Platforms (2 papers), MicroRNA in disease regulation (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Virology (609 citations), Health (594 citations), Obstetrics and Gynecology (355 citations), Infectious Diseases (800 citations) and Emergency Medicine (406 citations). Julia Wu has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Emily A. Harrison, Oluwasefunmi Akeju, Daniel J. Escudero, Sonia Hernández–Dı́az, Malia Skjefte, Diego F. Wyszynski, Ronald J. Ellis, Ann C. Collier, Thomas D. Parsons and Scott Evans. Their work appears in journals such as AIDS, European Journal of Epidemiology, Alzheimer s & Dementia, Clinical Infectious Diseases and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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