Tai‐Ling Chao

1.1k citations
41 papers · 633 indexed · h-index 14
Topics
SARS-CoV-2 and COVID-19 Research (27 papers)COVID-19 Clinical Research Studies (12 papers)Animal Virus Infections Studies (8 papers)
Journals
The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaClinical Infectious Diseases

In The Last Decade

Tai‐Ling Chao

41 papers receiving 626 citations

Peers

Tai‐Ling Chao
Comparison fields: 5 of 90
  • Infectious Diseases 393
  • Molecular Biology 149
  • Epidemiology 103
  • Computational Theory and Mathematics 89
  • Immunology 83
Replace Cornelius Rohde with:
Cornelius Rohde Germany
Jiajia Xie China
Hannah Limburg Germany
Paula Monteiro Perin Germany
Adeyemi O. Adedeji United States
Aurélien Traversier France
Junwen Luan China
Thomas Julien France
Long V. Pham Denmark
Huiping Shuai Hong Kong
Tai‐Ling Chao relative to Cornelius Rohde Germany Cornelius Rohde's profile →
Citations per field
00.5×
Cornelius Rohde · 1×
Citations per year

Countries citing papers authored by Tai‐Ling Chao

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Ling Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Ling Chao. 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 Tai‐Ling Chao. The network helps show where Tai‐Ling Chao may publish in the future.

Co-authorship network of co-authors of Tai‐Ling Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Ling Chao. A scholar is included among the top collaborators of Tai‐Ling Chao 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 Tai‐Ling Chao. Tai‐Ling Chao 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 3
3 2
4 3
5 3
6 3
7 12
8 3
9 1
10 3
11 15
12 26
13 34
14 32
15 14
16 5
17 190
18 41
19 5
20 10

About Tai‐Ling Chao

Tai‐Ling Chao is a scholar working on Infectious Diseases, Animal Science and Zoology and Virology, having authored 41 papers that have together received 633 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (27 papers), COVID-19 Clinical Research Studies (12 papers) and Animal Virus Infections Studies (8 papers). The work is most often cited by research in Infectious Diseases (393 citations), Computational Theory and Mathematics (89 citations) and Animal Science and Zoology (49 citations). Tai‐Ling Chao has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Sui‐Yuan Chang, Pei‐Jer Chen, Ya‐Wen Cheng, Mi‐Hua Tao, Shiou-Hwei Yeh, Pan‐Chyr Yang, Ya‐Min Tsai, Lily Wang, Kuo‐Yen Huang and Pi‐Han Lin. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología 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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