Ming Liao

15.8k citations
514 papers · 10.3k · h-index 46

Impact in

Papers in

    • Influenza Virus Research Studies 148
    • Respiratory viral infections research 41
    • Herpesvirus Infections and Treatments 36
    • Viral gastroenteritis research and epidemiology 99

Ming Liao

490 papers receiving 10.1k citations

Peers

Ming Liao
Comparison fields: 5 of 189
  • Animal Science and Zoology 1.5k
  • Agronomy and Crop Science 1.5k
  • Infectious Diseases 2.6k
  • Microbiology 577
  • Epidemiology 3.2k
Replace Ruchi Tiwari with:
Ruchi Tiwari India
Raj Kumar Singh India
Vincent Chow Singapore
Qi Jin China
Yan Li China
Yuhai Bi China
Kelvin Kai‐Wang To Hong Kong
Li‐Min Huang Taiwan
Yashpal Singh Malik India
Michael Heß Austria
Ming Liao relative to Ruchi Tiwari India Ruchi Tiwari's profile →
Citations per field
00.5×1.5×2.3×
Ruchi Tiwari · 1×
Citations per year

Countries citing papers authored by Ming Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 514 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007329
2 2018276
3 2018266
4
The RET/PTC3 oncogene: metastatic solid-type papillary carcinomas in murine thyroids.
1998204
5 2012166
6 2010142
7 2019139
8 2020136
9 2003132
10 2018123
11 2016119
12 2013115
13 2020104
14 2004103
15 2013102
16 201194
17 201286
18 200685
19 201181
20 201479

About Ming Liao

Ming Liao is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Molecular Biology and Animal Science and Zoology, having authored 514 papers that have together received 10.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (148 papers), Animal Disease Management and Epidemiology (114 papers), Viral gastroenteritis research and epidemiology (99 papers), Animal Virus Infections Studies (93 papers), interferon and immune responses (48 papers), Respiratory viral infections research (41 papers), Biosensors and Analytical Detection (36 papers) and Herpesvirus Infections and Treatments (36 papers). The work is most often cited by research in Animal Science and Zoology (1.5k citations), Agronomy and Crop Science (1.5k citations), Infectious Diseases (2.6k citations), Microbiology (577 citations) and Epidemiology (3.2k citations). Ming Liao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Peirong Jiao, Qi Chen, Yanbin Li, Brooke Aggarwal, Jianhan Lin, Wenbao Qi, Chenggang Xu, Hung‐Jen Liu, Siyuan Wang and Lori Mosca. Their work appears in journals such as Frontiers in Microbiology, Veterinary Microbiology, Poultry Science, Journal of Virology and Transboundary and Emerging 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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