Shiu‐Lok Hu

3.1k citations
58 papers · 2.0k indexed · 1 hit paper · h-index 22
  • Virology top 0.5%
    • HIV Research and Treatment 41
  • Immunology top 5%
    • Immune Cell Function and Interaction 8
    • HIV/AIDS drug development and treatment 8
    • HIV/AIDS Research and Interventions 5
    • Herpesvirus Infections and Treatments 22
    • Virology and Viral Diseases 6
    • Cytomegalovirus and herpesvirus research 6
  • Genetics top 5%
    • Virus-based gene therapy research 14

Shiu‐Lok Hu

58 papers receiving 2.0k citations

Hit Papers

Why primate models matter4142014202620182022100200300400

Peers

Shiu‐Lok Hu
Comparison fields: 5 of 119
  • Virology 1.1k
  • Immunology 613
  • Infectious Diseases 429
  • Epidemiology 523
  • Genetics 345
Replace Daniel C. Anderson with:
Daniel C. Anderson United States
Birgitte B. Simen United States
Andrew G. MacLean United States
Lakshmi Chennareddi United States
Mohammed Rafii‐El‐Idrissi Benhnia Spain
Christopher L. Parks United States
Nazira El‐Hage United States
Don R. Canfield United States
Ivanela Kondova Netherlands
Vasanthapuram Ravi India
Shiu‐Lok Hu relative to Daniel C. Anderson United States Daniel C. Anderson's profile →
Citations per field
00.5×2.8×
Daniel C. Anderson · 1×
Citations per year

Countries citing papers authored by Shiu‐Lok Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shiu‐Lok Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiu‐Lok 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 Shiu‐Lok Hu. The network helps show where Shiu‐Lok Hu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202212
3 202011
4 20179
5 201721
6 201645
7 201210
8 200923
9 200819
10 200140
11 200024
12 199744
13 199614
14 19949
15 199365
16 199214
17 199153
18 199127
19 19906
20 199012

About Shiu‐Lok Hu

Shiu‐Lok Hu is a scholar working on Virology, Epidemiology and Infectious Diseases, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (41 papers), Herpesvirus Infections and Treatments (22 papers), Virus-based gene therapy research (14 papers), Immune Cell Function and Interaction (8 papers), HIV/AIDS drug development and treatment (8 papers), Virology and Viral Diseases (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and HIV/AIDS Research and Interventions (5 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (613 citations) and Infectious Diseases (429 citations). Shiu‐Lok Hu has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include William R. Morton, Patricia Polacino, Bert A. ‘t Hart, William D. Hopkins, Lisa A. Miller, Kimberley A. Phillips, Carol A. Shively, Jeffrey Rogers, Paul W. Czoty and Karen L. Bales. Their work appears in journals such as Nature, Nucleic Acids Research and Blood.

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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