Chun‐Che Liao

735 citations
20 papers · 319 indexed · h-index 12
Topics
SARS-CoV-2 and COVID-19 Research (7 papers)Viral Infections and Immunology Research (6 papers)Viral gastroenteritis research and epidemiology (4 papers)

In The Last Decade

Chun‐Che Liao

20 papers receiving 315 citations

Peers

Chun‐Che Liao
Comparison fields: 5 of 67
  • Infectious Diseases 155
  • Cardiology and Cardiovascular Medicine 117
  • Molecular Biology 96
  • Epidemiology 43
  • Immunology 42
Replace Shilin Yuan with:
Shilin Yuan China
Wenfang Tang Taiwan
Hela Jaïdane Tunisia
Sayuri Uehara Japan
Ya‐Shu Chang Taiwan
Xiaolan Yang China
Xiaoen He China
Shubhada Bopegamage Slovakia
Jang‐Hoon Choi South Korea
Chun‐Che Liao relative to Shilin Yuan China Shilin Yuan's profile →
Citations per field
00.5×1.5×
Shilin Yuan · 1×
Citations per year

Countries citing papers authored by Chun‐Che Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Che Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Che 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 Chun‐Che Liao. The network helps show where Chun‐Che Liao may publish in the future.

Co-authorship network of co-authors of Chun‐Che Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Che Liao. A scholar is included among the top collaborators of Chun‐Che Liao 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 Chun‐Che Liao. Chun‐Che Liao 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 2
2 12
3 3
4 3
5 1
6 3
7 16
8 7
9 18
10 3
11 11
12 18
13
Epithelial-mesenchymal transition induced by SARS-CoV-2 required transcriptional upregulation of Snail.
24
14
Hyperglycosylated spike of SARS-CoV-2 gamma variant induces breast cancer metastasis.
14
15 59
16 9
17 14
18 34
19 31
20 37

About Chun‐Che Liao

Chun‐Che Liao is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Immunology Research (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (155 citations), Cardiology and Cardiovascular Medicine (117 citations) and Pharmacology (19 citations). Chun‐Che Liao has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Chiaho Shih, Ya‐Shu Chang, Yi‐Ling Lin, Jian‐Jong Liang, Ya‐Yen Yu, Chi‐Yung Lin, Pang‐Hsien Tu, Chien‐Kuo Lee, John T. Kung and Yi‐Chang Su. Their work appears in journals such as PLoS ONE, Journal of Virology and Scientific Reports.

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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