Lin Tai

2.6k total citations
27 papers, 1.4k citations indexed

About

Lin Tai is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Lin Tai has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Lin Tai's work include Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (7 papers) and CAR-T cell therapy research (6 papers). Lin Tai is often cited by papers focused on Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (7 papers) and CAR-T cell therapy research (6 papers). Lin Tai collaborates with scholars based in Australia, United Kingdom and China. Lin Tai's co-authors include Andreas Strasser, Marco J. Herold, Gemma L. Kelly, Margs S. Brennan, Philippe Bouillet, Andrew J. Kueh, Brandon J. Aubrey, Liz Milla, Stephen Wilcox and Liam O’Connor and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Lin Tai

25 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lin Tai Australia 13 1.1k 428 418 174 121 27 1.4k
Christy C. Ong United States 9 1.3k 1.2× 510 1.2× 507 1.2× 195 1.1× 149 1.2× 12 1.8k
Shilpee Dutt India 21 902 0.8× 295 0.7× 269 0.6× 199 1.1× 83 0.7× 48 1.5k
Mariana Nacht United States 17 1.0k 0.9× 441 1.0× 268 0.6× 250 1.4× 94 0.8× 27 1.5k
Tom Kay Australia 7 932 0.9× 309 0.7× 710 1.7× 162 0.9× 131 1.1× 9 1.6k
Arianna Sabò Italy 19 1.5k 1.4× 430 1.0× 269 0.6× 300 1.7× 57 0.5× 25 1.9k
Venugopalan Cheriyath United States 20 868 0.8× 211 0.5× 364 0.9× 165 0.9× 112 0.9× 29 1.3k
Katrina Meeth United States 19 1.0k 0.9× 726 1.7× 642 1.5× 256 1.5× 80 0.7× 25 1.8k
Jan van Riggelen United States 17 1.3k 1.2× 483 1.1× 201 0.5× 333 1.9× 87 0.7× 20 1.7k
Sonia Minuzzo Italy 21 824 0.8× 397 0.9× 315 0.8× 325 1.9× 68 0.6× 49 1.5k
Abba Malina Canada 18 1.8k 1.7× 373 0.9× 206 0.5× 222 1.3× 88 0.7× 22 2.1k

Countries citing papers authored by Lin Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lin Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Tai. A scholar is included among the top collaborators of Lin Tai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Tai. Lin Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kueh, Andrew J., Martin Pál, Lin Tai, et al.. (2025). Transcriptomic changes including p53 dysregulation prime DNMT3A mutant cells for transformation. EMBO Reports. 26(11). 2855–2882.
2.
Lieschke, Elizabeth, Andrew J. Kueh, Georgia K. Atkin‐Smith, et al.. (2024). Mouse models to investigate in situ cell fate decisions induced by p53. The EMBO Journal. 43(19). 4406–4436. 1 indexed citations
3.
Mizutani, Shinsuke, Alexandra L. Garnham, Connie S.N. Li Wai Suen, et al.. (2023). Deletion of the transcriptional regulator TFAP4 accelerates c-MYC-driven lymphomagenesis. Cell Death and Differentiation. 30(6). 1447–1456. 2 indexed citations
4.
Aubrey, Brandon J., Catherine Chang, Zilu Wang, et al.. (2023). Genome-wide CRISPR screening identifies a role for ARRDC3 in TRP53-mediated responses. Cell Death and Differentiation. 31(2). 150–158. 5 indexed citations
5.
Gangoda, Lahiru, Robyn L. Schenk, Lin Tai, et al.. (2022). Removal of BFL-1 sensitises some melanoma cells to killing by BH3 mimetic drugs. Cell Death and Disease. 13(4). 301–301. 3 indexed citations
6.
Fedele, Pasquale L., Yang Liao, Jianan Gong, et al.. (2020). The transcription factor IRF4 represses proapoptotic BMF and BIM to licence multiple myeloma survival. Leukemia. 35(7). 2114–2118. 21 indexed citations
7.
Zhao, Yichuan, et al.. (2019). Systematic identification of dysregulated lncRNAs associated with platinum-based chemotherapy response across 11 cancer types. Genomics. 112(2). 1214–1222. 10 indexed citations
8.
Gangoda, Lahiru, Charis E. Teh, Michael A. Dengler, et al.. (2019). Characterization of a novel human BFL-1-specific monoclonal antibody. Cell Death and Differentiation. 27(2). 826–828. 3 indexed citations
9.
Brennan, Margs S., Catherine Chang, Lin Tai, et al.. (2018). Humanized Mcl-1 mice enable accurate preclinical evaluation of MCL-1 inhibitors destined for clinical use. Blood. 132(15). 1573–1583. 66 indexed citations
10.
Janic, Ana, Liz J. Valente, Matthew J. Wakefield, et al.. (2018). DNA repair processes are critical mediators of p53-dependent tumor suppression. Nature Medicine. 24(7). 947–953. 119 indexed citations
11.
Schenk, Robyn L., Selma Tuzlak, Emma M. Carrington, et al.. (2017). Characterisation of mice lacking all functional isoforms of the pro-survival BCL-2 family member A1 reveals minor defects in the haematopoietic compartment. Cell Death and Differentiation. 24(3). 534–545. 51 indexed citations
12.
Aubrey, Brandon J., Gemma L. Kelly, Andrew J. Kueh, et al.. (2015). An Inducible Lentiviral Guide RNA Platform Enables the Identification of Tumor-Essential Genes and Tumor-Promoting Mutations In Vivo. Cell Reports. 10(8). 1422–1432. 272 indexed citations
13.
Kelly, Gemma L., Stephanie Grabow, Stefan Glaser, et al.. (2014). Targeting of MCL-1 kills MYC-driven mouse and human lymphomas even when they bear mutations in p53. Genes & Development. 28(1). 58–70. 126 indexed citations
14.
Herold, Marco J., Leona Rohrbeck, Raelene J. Grumont, et al.. (2013). Foxo‐mediated Bim transcription is dispensable for the apoptosis of hematopoietic cells that is mediated by this BH3‐only protein. EMBO Reports. 14(11). 992–998. 26 indexed citations
15.
Tai, Lin, Lily Lee, Elizabeth Kruse, et al.. (2009). Membrane-bound Fas ligand only is essential for Fas-induced apoptosis. Nature. 461(7264). 659–663. 300 indexed citations
16.
Michalak, Ewa M., Elisa S. Jansen, Lina Happo, et al.. (2009). Puma and to a lesser extent Noxa are suppressors of Myc-induced lymphomagenesis. Cell Death and Differentiation. 16(5). 684–696. 126 indexed citations
17.
Kaufmann, Thomas, Lin Tai, Paul G. Ekert, et al.. (2007). The BH3-Only Protein Bid Is Dispensable for DNA Damage- and Replicative Stress-Induced Apoptosis or Cell-Cycle Arrest. Cell. 129(2). 423–433. 159 indexed citations
18.
Wu, Xia, et al.. (2005). Modal extension rule. Progress in Natural Science Materials International. 15(6). 550–558. 3 indexed citations
19.
Hojo, Hiroshi, Lin Tai, Noritsugu Mukai, Takashi Masuko, & Yoshiyuki Hashimoto. (1992). An Enzyme Immunoassay for Cell Proliferation Using Monoclonal Antibodies Directed against a Cell Proliferation-Associated Antigen.. Journal of Pharmacobio-Dynamics. 15(10). 567–572. 1 indexed citations
20.
Augusteyn, Robert C., et al.. (1985). Monoclonal antibodies to bovine a-crystallin. Current Eye Research. 4(1). 13–20. 11 indexed citations

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.

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