Will Liao
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- FOXO transcription factor regulation 4
- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 4
- Cancer-related gene regulation 2
- RNA Research and Splicing 2
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- Ming O. Li (6 shared papers)Myoungjoo V. Kim (3 shared papers)Kang Liu (1 shared paper)Ruth A. Franklin (1 shared paper)Abira Sarkar (1 shared paper)Eric G. Pamer (1 shared paper)Michael Q. Zhang (4 shared papers)Weiming Ouyang (3 shared papers)
- Journals
- Molecular Psychiatry (2 papers)Nature (2 papers)Immunity (2 papers)Nature Communications (2 papers)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Will Liao
21 papers receiving 2.7k citations
Will Liao's Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 1.7k
- Oncology 651
- Cancer Research 303
- Aging 26
- Molecular Biology 953
Countries citing papers authored by Will Liao
This map shows the geographic impact of Will 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 Will Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Liao more than expected).
Fields of papers citing papers by Will Liao
This network shows the impact of papers produced by Will 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 Will Liao. The network helps show where Will Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Will 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The cellular and molecular origin of tumor-associated macrophages Hit paper breakdown → | 2014 | 1095 |
| 2 | 2012 | 371 | |
| 3 | 2012 | 344 | |
| 4 | 2017 | 169 | |
| 5 | 2013 | 168 | |
| 6 | 2016 | 158 | |
| 7 | 2013 | 119 | |
| 8 | 2018 | 66 | |
| 9 | 2017 | 64 | |
| 10 | 2013 | 39 | |
| 11 | 2012 | 37 | |
| 12 | 2019 | 26 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2009 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2012 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2012 | 3 |
About Will Liao
Will Liao is a scholar working on Molecular Biology, Immunology, Cancer Research, Electrical and Electronic Engineering and Pharmacology, having authored 22 papers that have together received 2.7k indexed citations. Recurring topics across this work include FOXO transcription factor regulation (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers), 3D IC and TSV technologies (3 papers), Cancer-related gene regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (651 citations), Cancer Research (303 citations), Aging (26 citations) and Molecular Biology (953 citations). Will Liao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ming O. Li, Myoungjoo V. Kim, Kang Liu, Ruth A. Franklin, Abira Sarkar, Eric G. Pamer, Michael Q. Zhang, Weiming Ouyang, Chong Luo and Alexander Y. Rudensky. Their work appears in journals such as Molecular Psychiatry, Nature, Immunity, Nature Communications and The International Journal of Biochemistry & Cell Biology.
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.