Liam C. Lee

527 total citations
11 papers, 355 citations indexed

About

Liam C. Lee is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Liam C. Lee has authored 11 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Genetics. Recurrent topics in Liam C. Lee's work include PARP inhibition in cancer therapy (4 papers), DNA Repair Mechanisms (3 papers) and BRCA gene mutations in cancer (3 papers). Liam C. Lee is often cited by papers focused on PARP inhibition in cancer therapy (4 papers), DNA Repair Mechanisms (3 papers) and BRCA gene mutations in cancer (3 papers). Liam C. Lee collaborates with scholars based in United States, United Kingdom and Austria. Liam C. Lee's co-authors include Ji Luo, Chih-Shia Lee, Frank McCormick, Scott W. Lowe, Tina L. Yuan, Christof Fellmann, Dennis Hsu, Sirisha Chakka, Natasha J. Caplen and Vishal Thapar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and British Journal of Haematology.

In The Last Decade

Liam C. Lee

9 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liam C. Lee United States 6 279 128 85 67 60 11 355
Chih-Shia Lee United States 8 355 1.3× 139 1.1× 65 0.8× 39 0.6× 60 1.0× 10 421
Chunxu Yang China 10 254 0.9× 68 0.5× 104 1.2× 33 0.5× 88 1.5× 15 356
Mianen Sun United States 8 279 1.0× 108 0.8× 106 1.2× 46 0.7× 48 0.8× 17 357
Julien Parola France 6 105 0.4× 84 0.7× 59 0.7× 71 1.1× 36 0.6× 9 218
Gilles Rademaker Belgium 8 206 0.7× 87 0.7× 121 1.4× 79 1.2× 59 1.0× 14 346
Wai Wong United States 4 284 1.0× 71 0.6× 44 0.5× 58 0.9× 42 0.7× 5 365
Heidi M. Haikala Finland 7 212 0.8× 131 1.0× 64 0.8× 36 0.5× 29 0.5× 15 309
Irmina Diala United States 9 200 0.7× 147 1.1× 97 1.1× 168 2.5× 17 0.3× 21 373
Mike Berger United States 2 284 1.0× 53 0.4× 40 0.5× 44 0.7× 38 0.6× 3 344

Countries citing papers authored by Liam C. Lee

Since Specialization
Citations

This map shows the geographic impact of Liam C. Lee'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 C. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam C. Lee more than expected).

Fields of papers citing papers by Liam C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam C. Lee. 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 C. Lee. The network helps show where Liam C. Lee may publish in the future.

Co-authorship network of co-authors of Liam C. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Liam C. Lee. A scholar is included among the top collaborators of Liam C. Lee 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 Liam C. Lee. Liam C. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Alexander, Melissa, et al.. (2025). Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs. Diagnostics. 15(7). 794–794. 3 indexed citations
4.
Cai, Chen, Elisha J. Dettman, Wei Zhou, et al.. (2024). Prevalence of homologous recombination biomarkers in multiple tumor types: an observational study. Future Oncology. 20(31). 2357–2370.
5.
Shao, Changxia, Heng Zhou, Elisha J. Dettman, et al.. (2023). Association Between Homologous Recombination Repair Biomarkers and Survival in Patients With Solid Tumors. JCO Precision Oncology. 7(7). e2300195–e2300195. 1 indexed citations
6.
Matthews, Jamie D., Leila Jahangiri, Liam C. Lee, et al.. (2020). Paediatric Burkitt lymphoma patient‐derived xenografts capture disease characteristics over time and are a model for therapy. British Journal of Haematology. 192(2). 354–365. 5 indexed citations
7.
Lee, Chih-Shia, Liam C. Lee, Tina L. Yuan, et al.. (2019). MAP kinase and autophagy pathways cooperate to maintain RAS mutant cancer cell survival. Proceedings of the National Academy of Sciences. 116(10). 4508–4517. 98 indexed citations
8.
Smith, Jordan L., et al.. (2016). One-step immortalization of primary human airway epithelial cells capable of oncogenic transformation. Cell & Bioscience. 6(1). 57–57. 7 indexed citations
9.
Yu, Bing, Stephen Swatkoski, Liam C. Lee, et al.. (2015). Oncogenesis driven by the Ras/Raf pathway requires the SUMO E2 ligase Ubc9. Proceedings of the National Academy of Sciences. 112(14). E1724–33. 64 indexed citations
10.
Yuan, Tina L., Christof Fellmann, Chih-Shia Lee, et al.. (2014). Development of siRNA Payloads to Target KRAS -Mutant Cancer. Cancer Discovery. 4(10). 1182–1197. 93 indexed citations
11.
Raffeld, Mark, Yong Wha Moon, Liqiang Xi, et al.. (2014). CRIPTO1 expression in EGFR-mutant NSCLC elicits intrinsic EGFR-inhibitor resistance. Journal of Clinical Investigation. 124(7). 3003–3015. 83 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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