Michael Liu

4.0k citations
82 papers · 2.0k · 1 hit paper · h-index 20

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
  • Virology top 5%
    • HIV Research and Treatment

Papers in

Michael Liu

72 papers receiving 1.9k citations

Michael Liu's Hit Papers

Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariants 2022 · 511 citations
5110+1+2Years since publication100200300400500

Peers

Michael Liu
Comparison fields: 5 of 128
  • Infectious Diseases 715
  • Virology 104
  • General Health Professions 289
  • Health 92
  • Modeling and Simulation 41
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Michael Liu relative to Elijah Paintsil United States Elijah Paintsil's profile →
Citations per field
00.5×3.9×
Elijah Paintsil · 1×
Citations per year

Countries citing papers authored by Michael Liu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariants
Hit paper breakdown →
2022511
2 2009136
3 201993
4 202092
5 202086
6 202184
7 202080
8 202176
9 201772
10 202259
11 201354
12 202148
13 201447
14 202042
15 202036
16 202123
17 201723
18 202322
19 200922
20 202320

About Michael Liu

Michael Liu is a scholar working on General Health Professions, Infectious Diseases, Physiology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Homelessness and Social Issues (15 papers), Smoking Behavior and Cessation (11 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Food Security and Health in Diverse Populations (4 papers), Healthcare Policy and Management (3 papers), LGBTQ Health, Identity, and Policy (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Infectious Diseases (715 citations), Virology (104 citations), General Health Professions (289 citations), Health (92 citations) and Modeling and Simulation (41 citations). Michael Liu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen W. Hwang, Qian Wang, Yicheng Guo, Sho Iketani, David D. Ho, Zhiteng Li, Zizhang Sheng, Lihong Liu, Jian Yu and Aubree Gordon. Their work appears in journals such as JAMA, JAMA Internal Medicine, Circulation, PLoS ONE and Annals of Internal Medicine.

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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