Yang Liao
Impact in
- Aging top 0.5%
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- RNA modifications and cancer 5
- Immunology 16
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 6
- Co-authors
- Wei Shi (30 shared papers)Gordon K. Smyth (11 shared papers)Stephen L. Nutt (13 shared papers)Axel Kallies (9 shared papers)Julie Tellier (7 shared papers)Simon N. Willis (7 shared papers)Renee Gloury (6 shared papers)David M. Tarlinton (6 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Nature Immunology (3 papers)Cell Reports (3 papers)Immunology and Cell Biology (2 papers)Blood (2 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Yang Liao
52 papers receiving 21.6k citations
Yang Liao's Hit Papers
Peers
Comparison fields: 5 of 167
- Aging 323
- Immunology 3.5k
- Cancer Research 2.3k
- Molecular Biology 11.2k
- Plant Science 3.2k
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-authors
The 25 scholars most cited alongside Yang Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | featureCounts: an efficient general purpose program for assigning sequence reads to genomic features Hit paper breakdown → | 2013 | 16197 |
| 2 | The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote Hit paper breakdown → | 2013 | 1959 |
| 3 | The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads Hit paper breakdown → | 2019 | 1645 |
| 4 | 2017 | 332 | |
| 5 | 2015 | 284 | |
| 6 | 2016 | 264 | |
| 7 | 2016 | 127 | |
| 8 | 2017 | 71 | |
| 9 | 2017 | 70 | |
| 10 | 2020 | 67 | |
| 11 | 2014 | 65 | |
| 12 | 2018 | 65 | |
| 13 | 2019 | 56 | |
| 14 | 2016 | 45 | |
| 15 | 2019 | 36 | |
| 16 | 2018 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2020 | 27 | |
| 19 | 2022 | 26 | |
| 20 | 2020 | 23 |
About Yang Liao
Yang Liao is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Hematology, having authored 59 papers that have together received 21.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (6 papers), RNA modifications and cancer (5 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer-related Molecular Pathways (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Aging (323 citations), Immunology (3.5k citations), Cancer Research (2.3k citations), Molecular Biology (11.2k citations) and Plant Science (3.2k citations). Yang Liao has collaborated with scholars based in Australia, United States and China. 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 Marc Pellegrini. Their work appears in journals such as Nucleic Acids Research, Nature Immunology, Cell Reports, Immunology and Cell Biology and Blood.
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.