Ming Liao

16.1k citations
511 papers · 10.5k · h-index 47

Impact in

Papers in

    • Influenza Virus Research Studies 147
    • Respiratory viral infections research 40
    • Viral gastroenteritis research and epidemiology 94

Ming Liao

488 papers receiving 10.4k citations

Peers

Ming Liao
Comparison fields: 5 of 186
  • Infectious Diseases 2.5k
  • Animal Science and Zoology 1.5k
  • Agronomy and Crop Science 1.4k
  • Epidemiology 3.1k
  • Microbiology 573
Replace Raj Kumar Singh with:
Raj Kumar Singh India
Ruchi Tiwari India
Qi Jin China
Vincent Chow Singapore
Yuhai Bi China
Yan Li China
Michael Heß Austria
Yashpal Singh Malik India
Li‐Min Huang Taiwan
Kelvin Kai‐Wang To Hong Kong
Ming Liao relative to Raj Kumar Singh India Raj Kumar Singh's profile →
Citations per field
00.5×2.9×
Raj Kumar Singh · 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 511 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007334
2 2018287
3 2018275
4
The RET/PTC3 oncogene: metastatic solid-type papillary carcinomas in murine thyroids.
1998206
5 2012168
6 2010142
7 2019141
8 2020137
9 2003133
10 2018125
11 2016120
12 2013117
13 2013104
14 2004104
15 2020104
16 201194
17 200685
18 201285
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 511 papers that have together received 10.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (147 papers), Animal Disease Management and Epidemiology (109 papers), Viral gastroenteritis research and epidemiology (94 papers), Animal Virus Infections Studies (87 papers), interferon and immune responses (46 papers), Respiratory viral infections research (40 papers), Biosensors and Analytical Detection (34 papers) and Immune Response and Inflammation (33 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Animal Science and Zoology (1.5k citations), Agronomy and Crop Science (1.4k citations), Epidemiology (3.1k citations) and Microbiology (573 citations). Ming Liao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Peirong Jiao, Yanbin Li, Brooke Aggarwal, Jianhan Lin, Wenbao Qi, Siyuan Wang, Hung‐Jen Liu, Chenggang Xu, Lori Mosca and Lingyan Zheng. 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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