Shan-Hai Ou

493 citations
15 papers · 406 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Cervical Cancer and HPV Research

Papers in

    • Hepatitis Viruses Studies and Epidemiology 6
    • SARS-CoV-2 and COVID-19 Research 2
    • Parvovirus B19 Infection Studies 1

Shan-Hai Ou

15 papers receiving 388 citations

Peers

Shan-Hai Ou
Comparison fields: 5 of 15
  • Hepatology 228
  • Epidemiology 77
  • Infectious Diseases 19
  • Immunology 14
  • Management of Technology and Innovation 3
Replace Lekey Khandu with:
Lekey Khandu Bhutan
Rama Kapoor United States
S M Shahriar Rizvi Bangladesh
Vasiliki Lygoura Greece
Natalia Tamayo Antabak South Africa
Freya Van Houtte Belgium
Ahmed Al Tawil United States
María Cubero Spain
Carmine Minichini Italy
Fredrik Sund Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Shan-Hai Ou

Since Specialization
Citations

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

Fields of papers citing papers by Shan-Hai Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan-Hai Ou. 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 Shan-Hai Ou. The network helps show where Shan-Hai Ou may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004210
2 200966
3 201823
4 200421
5 200721
6 200819
7 202210
8 20219
9 20197
10
[Detection of hepatitis E virus on a blood donor and its infectivity to rhesus monkey].
20046
11 20166
12 20195
13
Immune response induced by recombinant particulate hepatitis E virus vaccine in mice
20051
14 20151
15 20231

About Shan-Hai Ou

Shan-Hai Ou is a scholar working on Hepatology, Infectious Diseases, Immunology, Epidemiology and Nuclear Energy and Engineering, having authored 15 papers that have together received 406 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (6 papers), Hepatitis B Virus Studies (3 papers), T-cell and Retrovirus Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Hepatology (228 citations), Epidemiology (77 citations), Infectious Diseases (19 citations), Immunology (14 citations) and Management of Technology and Innovation (3 citations). Shan-Hai Ou has collaborated with scholars based in China. Frequent co-authors include Ningshao Xia, Jun Zhang, Shengxiang Ge, Mun Hon Ng, Zhiqing He, Quan Yuan, James Wai Kuo Shih, Qiang Yan, Chenghao Huang and Ting Wu. Their work appears in journals such as Emerging Microbes & Infections, Retrovirology, Frontiers in Immunology, Vaccine and Human Vaccines & Immunotherapeutics.

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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