Sai Lou

724 citations
22 papers · 597 · h-index 15

Impact in

Papers in

    • Parvovirus B19 Infection Studies 6
    • Viral Infections and Vectors 4
    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 2
    • Cytomegalovirus and herpesvirus research 2

Sai Lou

22 papers receiving 589 citations

Peers

Sai Lou
Comparison fields: 5 of 58
  • Infectious Diseases 276
  • Hepatology 83
  • Dermatology 67
  • Epidemiology 233
  • Animal Science and Zoology 62
Replace Kriangsak Ruchusatsawat with:
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Yufeng Yao China
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Rebecca Parr United States
F. A. Murphy United States
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G. Wood United States
R. E. Kirsch South Africa
Alexander Jordan United States
Ana C. Tuyama United States
Sai Lou relative to Kriangsak Ruchusatsawat Thailand Kriangsak Ruchusatsawat's profile →
Citations per field
00.5×7.3×
Kriangsak Ruchusatsawat · 1×
Citations per year

Countries citing papers authored by Sai Lou

Since Specialization
Citations

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

Fields of papers citing papers by Sai Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010103
2 201164
3 201059
4 200545
5 201241
6 201040
7 201031
8 201130
9 201127
10 200723
11 200921
12 201120
13 201116
14 200915
15 201315
16 200914
17 201010
18 20108
19 20095
20 20094

About Sai Lou

Sai Lou is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Immunology and Pharmacology, having authored 22 papers that have together received 597 indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (6 papers), Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (4 papers), Viral Infections and Vectors (4 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Infectious Diseases (276 citations), Hepatology (83 citations), Dermatology (67 citations), Epidemiology (233 citations) and Animal Science and Zoology (62 citations). Sai Lou has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhengwen Liu, Jianming Qiu, Qunying Han, Yong Luo, Aaron Yun Chen, Guoyu Zhang, Steve Kleiboeker, Fang Cheng, Eric Delwart and Na Li. Their work appears in journals such as Journal of Virology, Human Immunology, Virology, Clinical and Experimental Medicine and Archives of Virology.

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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