Laura E. Liao

497 citations
13 papers · 277 · h-index 10

Impact in

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 3
    • Hepatitis B Virus Studies 2
    • Immune Cell Function and Interaction 4

Laura E. Liao

13 papers receiving 276 citations

Peers

Laura E. Liao
Comparison fields: 5 of 48
  • Modeling and Simulation 76
  • Virology 60
  • Infectious Diseases 75
  • Epidemiology 118
  • Immunology 68
Replace Yoshiki Koizumi with:
Yoshiki Koizumi Japan
Matteo Bosso Germany
Amy Ransier United States
Annemarie Laumaea Canada
Sreedhar Chinnaswamy India
Xintao Hu United States
Vanessa M. Cowton United Kingdom
Yan Zhi United States
Clement Asiedu United States
E. G. M. Berkhoff Netherlands
Laura E. Liao relative to Yoshiki Koizumi Japan Yoshiki Koizumi's profile →
Citations per field
00.5×1.5×
Yoshiki Koizumi · 1×
Citations per year

Countries citing papers authored by Laura E. Liao

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Liao. 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 Laura E. Liao. The network helps show where Laura E. Liao may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202049
2 201147
3 201935
4 201834
5 201128
6 202120
7 201615
8 201714
9 201511
10 202010
11 20159
12 20244
13 20131

About Laura E. Liao

Laura E. Liao is a scholar working on Epidemiology, Immunology, Infectious Diseases, Virology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 277 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (4 papers), Respiratory viral infections research (3 papers), HIV Research and Treatment (3 papers), Hepatitis B Virus Studies (2 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Outbreaks Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Virology (60 citations), Infectious Diseases (75 citations), Epidemiology (118 citations) and Immunology (68 citations). Laura E. Liao has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Catherine A. A. Beauchemin, Alan S. Perelson, Benjamin P. Holder, Guy Boivin, Ashish Goyal, Philippe Simon, Andreas Handel, Yacine Abed, Xavier Bouhy and Shingo Iwami. Their work appears in journals such as Current Opinion in Systems Biology, PLoS ONE, Journal of Virology, Molecular Biology of the Cell and PLoS Computational Biology.

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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