Weiyong Liu

5.9k citations
72 papers · 2.7k indexed · 2 hit papers · h-index 24
Topics
Tuberculosis Research and Epidemiology (8 papers)Immune Cell Function and Interaction (7 papers)COVID-19 Clinical Research Studies (7 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Weiyong Liu

69 papers receiving 2.7k citations

Hit Papers

Cardiac Involvement in Patients Recovered From COVID-2019...202020262022202420202020100200300

Peers

Weiyong Liu
Comparison fields: 5 of 140
  • Infectious Diseases 1.1k
  • Obstetrics and Gynecology 440
  • Immunology 434
  • Molecular Biology 426
  • Neurology 366
Replace Ombretta Turriziani with:
Ombretta Turriziani Italy
Yanfang Zhang China
Miyuki Kawase Japan
Yong Cao China
Daniele Focosi Italy
Yingying Guo China
Chengliang Zhu China
Chek Meng Poh Singapore
Weiyong Liu relative to Ombretta Turriziani Italy Ombretta Turriziani's profile →
Citations per field
00.5×
Ombretta Turriziani · 1×
Citations per year

Countries citing papers authored by Weiyong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weiyong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyong Liu. A scholar is included among the top collaborators of Weiyong 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 Weiyong Liu. Weiyong 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 6
3 18
4 0
5 154
6 6
7 17
8 9
9 1
10 6
11 63
12 71
13
Cardiac Involvement in Patients Recovered From COVID-2019 Identified Using Magnetic Resonance Imagingbreakdown →
394
14 15
15 14
16 19
17 32
18
Tectonic Reconstruction and Mineralization Models of the Indian Ocean:Insights from SWIR
2
19
Morphotectonics and Tectonic Processes of the Southwest Indian Ocean
2
20 32

About Weiyong Liu

Weiyong Liu is a scholar working on Infectious Diseases, Endocrinology and Immunology, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Immune Cell Function and Interaction (7 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Obstetrics and Gynecology (440 citations) and Neurology (366 citations). Weiyong Liu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ling Feng, Shaoshuai Wang, Ziyong Sun, Yong Cao, Lili Guo, Ling Chen, Liming Xia, Tong Zhu, Dazhong Tang and Chenao Zhan. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and Clinical Infectious Diseases.

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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