Yang Liao
- Molecular Biology top 0.2%
- Immunology top 0.5%
- Plant Science top 0.5%
- Cancer Research top 0.5%
- Genetics top 0.5%
- Co-authors
- Wei ShiGordon K. SmythStephen L. NuttAxel KalliesJulie TellierSimon N. WillisRenee GlouryDavid M. Tarlinton
- Topics
- Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (10 papers)RNA modifications and cancer (8 papers)
- Cited by
- AgingImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yang Liao
61 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 12.0k
- Immunology 3.7k
- Plant Science 3.3k
- Cancer Research 2.6k
- Genetics 2.3k
Countries citing papers authored by Yang Liao
This map shows the geographic impact of Yang 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 Yang Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Liao more than expected).
Fields of papers citing papers by Yang Liao
This network shows the impact of papers produced by Yang 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 Yang Liao. The network helps show where Yang Liao may publish in the future.
Co-authorship network of co-authors of Yang Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Liao. A scholar is included among the top collaborators of Yang 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 Yang Liao. Yang Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 21 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 126 | |
| 18 | 13 | |
| 19 | featureCounts: an efficient general purpose program for assigning sequence reads to genomic featuresbreakdown → | 15434 |
| 20 | Decentralisation of Score Finder: A Framework for Credibility Management on User-Generated Contents | 0 |
About Yang Liao
Yang Liao is a scholar working on Immunology, Hematology and Cancer Research, having authored 71 papers that have together received 20.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Aging (323 citations), Immunology (3.7k citations) and Molecular Biology (12.0k citations). Yang Liao has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Wei Shi, Gordon K. Smyth, Stephen L. Nutt, Axel Kallies, Julie Tellier, Simon N. Willis, Renee Gloury, David M. Tarlinton, Lynn M. Corcoran and Simon Preston. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.