Dale J. Hu

7.8k citations
126 papers · 5.9k indexed · 1 hit paper · h-index 46
  • Virology top 0.1%
    • HIV Research and Treatment 58
    • HIV/AIDS Research and Interventions 50
    • HIV/AIDS drug development and treatment 35
  • Hepatology top 0.5%
    • Hepatitis C virus research 26
    • Hepatitis Viruses Studies and Epidemiology 17
    • Hepatitis B Virus Studies 21
    • HIV, Drug Use, Sexual Risk 19
  • Immunology top 5%
    • vaccines and immunoinformatics approaches 7

Dale J. Hu

126 papers receiving 5.7k citations

Hit Papers

Randomized, Double‐Blind, Placebo‐Controlled Efficacy Tri...5692006202620122019100200300400500

Peers

Dale J. Hu
Comparison fields: 5 of 146
  • Virology 2.8k
  • Infectious Diseases 3.5k
  • Hepatology 1.3k
  • Epidemiology 2.4k
  • Immunology 539
Replace R A Coutinho with:
R A Coutinho Netherlands
John Parry United Kingdom
Stefan Z. Wiktor United States
Marina B. Klein Canada
Roel A. Coutinho Netherlands
Anna María Geretti United Kingdom
Hoosen Coovadia South Africa
Marc Bulterys United States
Jonathan E. Kaplan United States
Athena P. Kourtis United States
Dale J. Hu relative to R A Coutinho Netherlands R A Coutinho's profile →
Citations per field
00.5×3.5×
R A Coutinho · 1×
Citations per year

Countries citing papers authored by Dale J. Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dale J. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dale J. Hu. 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 Dale J. Hu. The network helps show where Dale J. Hu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 201612
3 20159
4 20127
5 201243
6 201122
7 201083
8 20109
9 201050
10 20094
11 200435
12 200360
13 200326
14 200316
15 200360
16 200312
17 20008
18 200030
19 200046
20 199545

About Dale J. Hu

Dale J. Hu is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 126 papers that have together received 5.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (58 papers), HIV/AIDS Research and Interventions (50 papers), HIV/AIDS drug development and treatment (35 papers), Hepatitis C virus research (26 papers), Hepatitis B Virus Studies (21 papers), HIV, Drug Use, Sexual Risk (19 papers), Hepatitis Viruses Studies and Epidemiology (17 papers) and vaccines and immunoinformatics approaches (7 papers). The work is most often cited by research in Virology (2.8k citations), Infectious Diseases (3.5k citations) and Hepatology (1.3k citations). Dale J. Hu has collaborated with scholars based in United States, Thailand and Uganda. Frequent co-authors include Kachit Choopanya, Timothy D. Mastro, Eyasu H. Teshale, Jordan W. Tappero, Suphak Vanichseni, Nancy L. Young, Bharat Parekh, Scott D. Holmberg, William L. Heyward and Marc Gurwith. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.

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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