Ching‐Len Liao

5.7k citations
91 papers · 4.7k indexed · h-index 38

Impact in

Papers in

    • Viral Infections and Vectors 24
    • SARS-CoV-2 and COVID-19 Research 17
    • Viral gastroenteritis research and epidemiology 8
    • HIV Research and Treatment 12

Ching‐Len Liao

89 papers receiving 4.6k citations

Peers

Ching‐Len Liao
Comparison fields: 5 of 108
  • Infectious Diseases 2.4k
  • Public Health, Environmental and Occupational Health 2.5k
  • Virology 392
  • Immunology 1.1k
  • Animal Science and Zoology 461
Replace Andres Merits with:
Andres Merits Estonia
Rushika Perera United States
Rosa María del Ángel Mexico
Nicholas S. Heaton United States
Arno Müllbacher Australia
David A. Stein United States
Miguel A. Martín-Acebes Spain
Philip J. Kranzusch United States
Nigel Bourne United States
Eva Lee Australia
Ching‐Len Liao relative to Andres Merits Estonia Andres Merits's profile →
Citations per field
00.5×1.6×
Andres Merits · 1×
Citations per year

Countries citing papers authored by Ching‐Len Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Len Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20233
3 20236
4 20232
5 202222
6 202210
7 202130
8 202117
9 202017
10 201919
11 201518
12 2012226
13 201212
14 201126
15 2009148
16 200519
17 200182
18 199685
19 199529
20 199522

About Ching‐Len Liao

Ching‐Len Liao is a scholar working on Infectious Diseases, Virology, Public Health, Environmental and Occupational Health, Animal Science and Zoology and Immunology, having authored 91 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (48 papers), Viral Infections and Vectors (24 papers), SARS-CoV-2 and COVID-19 Research (17 papers), interferon and immune responses (12 papers), Animal Virus Infections Studies (12 papers), HIV Research and Treatment (12 papers), Viral gastroenteritis research and epidemiology (8 papers) and Malaria Research and Control (8 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Public Health, Environmental and Occupational Health (2.5k citations), Virology (392 citations), Immunology (1.1k citations) and Animal Science and Zoology (461 citations). Ching‐Len Liao has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yi‐Ling Lin, Chia-Yi Yu, Ren-Jye Lin, Hong‐Lin Su, M M Lai, Chia‐Tsui Yeh, Jian‐Jong Liang, Tsung-Hsien Chang, Yi-Ling Lee and Li‐Kuang Chen. Their work appears in journals such as Journal of Virology, Journal of Biomedical Science, Virology, Vaccine and Journal of Food and Drug Analysis.

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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