Shuo Liu

9.8k citations
71 papers · 3.5k indexed · 3 hit papers · h-index 20
Topics
SARS-CoV-2 and COVID-19 Research (29 papers)COVID-19 Clinical Research Studies (10 papers)SARS-CoV-2 detection and testing (9 papers)
Journals
CellSHILAP Revista de lepidopterologíaBlood

In The Last Decade

Shuo Liu

67 papers receiving 3.5k citations

Hit Papers

The experiences of health-care providers during the COVID...20202026202220242020202020212505007501000

Peers

Shuo Liu
Comparison fields: 5 of 168
  • Infectious Diseases 1.4k
  • Clinical Psychology 843
  • Molecular Biology 607
  • General Health Professions 544
  • Oncology 350
Replace Elizabeth Spencer with:
Elizabeth Spencer United Kingdom
Jing Yang China
Jacqui Wise
Viroj Wiwanitkit Thailand
Ahmed Hossain Bangladesh
Yuping Wang China
Eliana Ferroni Italy
Chi‐Hong Tseng United States
Jennifer Abbasi United States
Mengying Li China
Shuo Liu relative to Elizabeth Spencer United Kingdom Elizabeth Spencer's profile →
Citations per field
00.5×1.5×2.4×
Elizabeth Spencer · 1×
Citations per year

Countries citing papers authored by Shuo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Liu. A scholar is included among the top collaborators of Shuo Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuo Liu. Shuo Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 10
6 3
7 4
8 7
9 8
10 8
11
The significant immune escape of pseudotyped SARS-CoV-2 variant Omicronbreakdown →
248
12 53
13 19
14
The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicitybreakdown →
957
15
The experiences of health-care providers during the COVID-19 crisis in China: a qualitative studybreakdown →
1101
16 33
17 7
18 121
19 16
20 153

About Shuo Liu

Shuo Liu is a scholar working on Infectious Diseases, Geriatrics and Gerontology and Animal Science and Zoology, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (29 papers), COVID-19 Clinical Research Studies (10 papers) and SARS-CoV-2 detection and testing (9 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Clinical Psychology (843 citations) and Modeling and Simulation (167 citations). Shuo Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bing Xiang Yang, Dan Luo, Joan E. Haase, Qiaohong Guo, Jiong Yang, Zhongchun Liu, Xiao Qin Wang, Qian Liu, Lin Xia and Weijin Huang. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología 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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