Ying Liao

3.2k total citations
90 papers, 2.3k citations indexed

About

Ying Liao is a scholar working on Molecular Biology, Animal Science and Zoology and Infectious Diseases. According to data from OpenAlex, Ying Liao has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 37 papers in Animal Science and Zoology and 36 papers in Infectious Diseases. Recurrent topics in Ying Liao's work include Animal Virus Infections Studies (37 papers), Virology and Viral Diseases (23 papers) and Viral gastroenteritis research and epidemiology (20 papers). Ying Liao is often cited by papers focused on Animal Virus Infections Studies (37 papers), Virology and Viral Diseases (23 papers) and Viral gastroenteritis research and epidemiology (20 papers). Ying Liao collaborates with scholars based in China, Singapore and United Kingdom. Ying Liao's co-authors include Ding Xiang Liu, Chan Ding, Yingjie Sun, Cuiping Song, Xusheng Qiu, Lei Tan, James P. Tam, Chunchun Meng, To Sing Fung and Jaume Torres and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ying Liao

85 papers receiving 2.3k citations

Peers

Ying Liao
Comparison fields: 5 of 100
  • Infectious Diseases 943
  • Molecular Biology 830
  • Animal Science and Zoology 676
  • Epidemiology 634
  • Immunology 489
Replace Yingjie Sun with:
Yingjie Sun China
Lei Tan China
Judith M. Ball United States
Bumseok Kim South Korea
Hongyan Chen China
Rachel Ulferts United Kingdom
Alessandra Scagliarini Italy
Shuo Shen China
Jeffrey Langland United States
Kjerstin Lanke Netherlands
Yingjie Sun China View profile →
Citations per field, relative to Ying Liao
Ying Liao · 1×
Citations per year, relative to Ying Liao
Ying Liao · 1×

Countries citing papers authored by Ying Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ying Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Liao. A scholar is included among the top collaborators of Ying 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 Ying Liao. Ying 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 8
6 2
7 1
8 5
9 7
10 30
11 8
12 5
13 22
14 15
15 14
16 17
17
Progress Research of Chemical Constituents and Effects of Invasive Plant Chenopodium ambrosioides L.
1
18 50
19 112
20 75

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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