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 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Hedgehog Signaling Pathway Studies 7
- dental development and anomalies 3
- Genetics 5
- Cleft Lip and Palate Research 2
- Co-authors
- Mark J. Smyth (3 shared papers)Fernando Souza-Fonseca-Guimarães (2 shared papers)Christopher J. Chan (1 shared paper)Marco Colonna (1 shared paper)Susan Gilfillan (1 shared paper)Daniel M. Andrews (1 shared paper)Ludovic Martinet (1 shared paper)Melvyn T. Chow (1 shared paper)
- Journals
- Infection and Immunity (2 papers)Developmental Biology (2 papers)Developmental Dynamics (2 papers)The EMBO Journal (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Liam Town
13 papers receiving 1.2k citations
Liam Town's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 738
- Oncology 402
- Oral Surgery 47
- Physiology 29
- Molecular Biology 368
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 | 518 |
| 2 | 2014 | 381 | |
| 3 | 2008 | 87 | |
| 4 | 2010 | 76 | |
| 5 | 2012 | 66 | |
| 6 | 2003 | 33 | |
| 7 | 2010 | 26 | |
| 8 | 2008 | 17 | |
| 9 | 2016 | 14 | |
| 10 | 2009 | 12 | |
| 11 | 2011 | 8 | |
| 12 | 2007 | 1 | |
| 13 | 2003 | 1 |
About Liam Town
Liam Town is a scholar working on Molecular Biology, Genetics, Immunology, Endocrinology and Oral Surgery, having authored 13 papers that have together received 1.2k 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), Vibrio bacteria research studies (2 papers), T-cell and B-cell Immunology (2 papers), Cleft Lip and Palate Research (2 papers), Oral and Maxillofacial Pathology (2 papers) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (738 citations), Oncology (402 citations), Oral Surgery (47 citations), Physiology (29 citations) and Molecular Biology (368 citations). Liam Town has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Mark J. Smyth, Fernando Souza-Fonseca-Guimarães, Christopher J. Chan, Marco Colonna, Susan Gilfillan, Daniel M. Andrews, Ludovic Martinet, Melvyn T. Chow, Nicholas D. Huntington and Róisín M. Loftus. Their work appears in journals such as Infection and Immunity, Developmental Biology, Developmental Dynamics, The EMBO Journal and Human Molecular Genetics.
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.