Liam Town
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Genetics 5
- Cleft Lip and Palate Research 2
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- Vibrio bacteria research studies 2
- Co-authors
- Mark John Smyth (3 shared papers)Fernando Souza-Fonseca-Guimarães (2 shared papers)Daniel Mark Andrews (1 shared paper)Christopher J. Chan (1 shared paper)Marco Colonna (1 shared paper)Ludovic Martinet (1 shared paper)Susan Gilfillan (1 shared paper)Melvyn T. Chow (1 shared paper)
- Journals
- Developmental Biology (2 papers)Infection and Immunity (2 papers)Developmental Dynamics (2 papers)Nature Immunology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Liam Town
13 papers receiving 1.3k citations
Liam Town's Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 779
- Oncology 422
- Oral Surgery 48
- Physiology 30
- Molecular Biology 380
Countries citing papers authored by Liam Town
This map shows the geographic impact of Liam Town'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 Liam Town with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Town more than expected).
Fields of papers citing papers by Liam Town
This network shows the impact of papers produced by Liam Town. 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 Liam Town. The network helps show where Liam Town may publish in the future.
Co-authors
The 25 scholars most cited alongside Liam Town, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TGF-β inhibits the activation and functions of NK cells by repressing the mTOR pathway Hit paper breakdown → | 2016 | 550 |
| 2 | 2014 | 403 | |
| 3 | 2008 | 88 | |
| 4 | 2010 | 79 | |
| 5 | 2012 | 69 | |
| 6 | 2003 | 34 | |
| 7 | 2010 | 28 | |
| 8 | 2008 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2009 | 14 | |
| 11 | 2011 | 8 | |
| 12 | 2007 | 1 | |
| 13 | 2003 | 1 |
About Liam Town
Liam Town is a scholar working on Genetics, Endocrinology, Oral Surgery, Molecular Biology and Immunology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), dental development and anomalies (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Oral and Maxillofacial Pathology (2 papers), Vibrio bacteria research studies (2 papers), Cleft Lip and Palate Research (2 papers) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (779 citations), Oncology (422 citations), Oral Surgery (48 citations), Physiology (30 citations) and Molecular Biology (380 citations). Liam Town has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Mark John Smyth, Fernando Souza-Fonseca-Guimarães, Daniel Mark Andrews, Christopher J. Chan, Marco Colonna, Ludovic Martinet, Susan Gilfillan, Melvyn T. Chow, Jacques Bienvenu and David K. Finlay. Their work appears in journals such as Developmental Biology, Infection and Immunity, Developmental Dynamics, Nature Immunology 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.