Lin Tai
Impact in
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
Papers in
-
- Cell death mechanisms and regulation 8
- Ubiquitin and proteasome pathways 3
- RNA Interference and Gene Delivery 3
- Oncology 16
- Cancer-related Molecular Pathways 7
- CAR-T cell therapy research 6
- Co-authors
- Andreas Strasser (21 shared papers)Marco J. Herold (18 shared papers)Gemma L. Kelly (7 shared papers)Margs S. Brennan (3 shared papers)Philippe Bouillet (4 shared papers)Andrew J. Kueh (8 shared papers)Brandon J. Aubrey (5 shared papers)Stephen Wilcox (3 shared papers)
- Journals
- Cell Death and Differentiation (7 papers)Blood (3 papers)Cell (2 papers)EMBO Reports (2 papers)Blood Advances (1 paper)
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Lin Tai
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Immunology 402
- Oncology 409
- Molecular Biology 1.1k
- Cancer Research 166
- Hematology 100
Countries citing papers authored by Lin Tai
This map shows the geographic impact of Lin Tai'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 Lin Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Tai more than expected).
Fields of papers citing papers by Lin Tai
This network shows the impact of papers produced by Lin Tai. 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 Lin Tai. The network helps show where Lin Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Tai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 304 | |
| 2 | 2015 | 281 | |
| 3 | 2007 | 159 | |
| 4 | 2014 | 128 | |
| 5 | 2009 | 127 | |
| 6 | 2018 | 123 | |
| 7 | 2012 | 89 | |
| 8 | 2018 | 67 | |
| 9 | 2017 | 51 | |
| 10 | 2013 | 26 | |
| 11 | 2020 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 2020 | 16 | |
| 14 | 1985 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2007 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2019 | 3 |
About Lin Tai
Lin Tai is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Genetics, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (4 papers), Ubiquitin and proteasome pathways (3 papers), RNA Interference and Gene Delivery (3 papers), interferon and immune responses (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Immunology (402 citations), Oncology (409 citations), Molecular Biology (1.1k citations), Cancer Research (166 citations) and Hematology (100 citations). Lin Tai has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Andreas Strasser, Marco J. Herold, Gemma L. Kelly, Margs S. Brennan, Philippe Bouillet, Andrew J. Kueh, Brandon J. Aubrey, Stephen Wilcox, Liz Milla and Liam O’Connor. Their work appears in journals such as Cell Death and Differentiation, Blood, Cell, EMBO Reports and Blood Advances.
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.