Julia Wu
Impact in
Papers in
- Virology 7
- HIV Research and Treatment 7
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- HIV/AIDS Research and Interventions 3
- HIV/AIDS drug development and treatment 3
- Co-authors
- Emily A. Harrison (1 shared paper)Oluwasefunmi Akeju (3 shared papers)Daniel J. Escudero (2 shared papers)Sonia Hernández–Dı́az (2 shared papers)Malia Skjefte (2 shared papers)Diego F. Wyszynski (2 shared papers)Ronald J. Ellis (2 shared papers)Kevin R. Robertson (1 shared paper)
- Journals
- AIDS (4 papers)European Journal of Epidemiology (3 papers)Alzheimer s & Dementia (2 papers)Alcohol (1 paper)The Pediatric Infectious Disease Journal (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Julia Wu
27 papers receiving 1.9k citations
Julia Wu's Hit Papers
Peers
Comparison fields: 5 of 123
- Virology 548
- Health 472
- Obstetrics and Gynecology 299
- Emergency Medicine 277
- Infectious Diseases 527
Countries citing papers authored by Julia Wu
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
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.
All Works
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 Hit paper breakdown → | 2007 | 508 |
| 2 | COVID-19 vaccine acceptance among pregnant women and mothers of young children: results of a survey in 16 countries Hit paper breakdown → | 2021 | 390 |
| 3 | 2020 | 324 | |
| 4 | 2015 | 89 | |
| 5 | 2017 | 88 | |
| 6 | 2003 | 80 | |
| 7 | 2021 | 67 | |
| 8 | 2007 | 61 | |
| 9 | 2009 | 50 | |
| 10 | 2009 | 47 | |
| 11 | 2021 | 34 | |
| 12 | 2009 | 30 | |
| 13 | 2017 | 24 | |
| 14 | 2010 | 20 | |
| 15 | 2005 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2015 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2009 | 11 | |
| 20 | 2015 | 10 |
About Julia Wu
Julia Wu is a scholar working on Virology, Infectious Diseases, Epidemiology, Emergency Medicine and Molecular Biology, 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-related health complications and treatments (5 papers), HIV/AIDS Research and Interventions (3 papers), HIV/AIDS drug development and treatment (3 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 Impact on Reproduction (2 papers), Global Maternal and Child Health (2 papers) and Housing Market and Economics (2 papers). The work is most often cited by research in Virology (548 citations), Health (472 citations), Obstetrics and Gynecology (299 citations), Emergency Medicine (277 citations) and Infectious Diseases (527 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, Kevin R. Robertson, Kunling Wu and Justin C. McArthur. Their work appears in journals such as AIDS, European Journal of Epidemiology, Alzheimer s & Dementia, Alcohol and The Pediatric Infectious Disease Journal.
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.