Liam F. Spurr

3.5k total citations
28 papers, 515 citations indexed

About

Liam F. Spurr is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Liam F. Spurr has authored 28 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 11 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Liam F. Spurr's work include Cancer Genomics and Diagnostics (15 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Liam F. Spurr is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Liam F. Spurr collaborates with scholars based in United States, United Kingdom and China. Liam F. Spurr's co-authors include Andrew D. Cherniack, Mark M. Awad, Lynette M. Sholl, Biagio Ricciuti, Mizuki Nishino, Yvonne Y. Li, Giuseppe Lamberti, Sean P. Pitroda, Gonzalo Recondo and Michael L. Cheng and has published in prestigious journals such as Nature, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Liam F. Spurr

27 papers receiving 514 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 F. Spurr United States 11 286 238 161 158 81 28 515
Jen-Wei Tsai Taiwan 13 184 0.6× 283 1.2× 251 1.6× 110 0.7× 75 0.9× 13 588
Gian Luca Rampioni Vinciguerra Italy 12 181 0.6× 238 1.0× 134 0.8× 107 0.7× 41 0.5× 26 452
Yuji Shimoda Japan 10 210 0.7× 133 0.6× 132 0.8× 229 1.4× 99 1.2× 26 410
Mirella Giordano Italy 13 196 0.7× 143 0.6× 89 0.6× 128 0.8× 77 1.0× 43 462
Vera Kloten Germany 13 180 0.6× 326 1.4× 73 0.5× 241 1.5× 63 0.8× 16 502
Dianke Chen China 13 186 0.7× 299 1.3× 76 0.5× 257 1.6× 59 0.7× 25 519
Jeffrey C. Francis United Kingdom 10 190 0.7× 423 1.8× 141 0.9× 104 0.7× 120 1.5× 14 561
Betül T. Yesilyurt Belgium 8 194 0.7× 184 0.8× 89 0.6× 140 0.9× 71 0.9× 9 452
Sarita Agte United States 9 379 1.3× 191 0.8× 227 1.4× 213 1.3× 39 0.5× 22 564

Countries citing papers authored by Liam F. Spurr

Since Specialization
Citations

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

Fields of papers citing papers by Liam F. Spurr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liam F. Spurr

This figure shows the co-authorship network connecting the top 25 collaborators of Liam F. Spurr. A scholar is included among the top collaborators of Liam F. Spurr 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 F. Spurr. Liam F. Spurr 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.
Huang, Daniel, Liam F. Spurr, Ralph R. Weichselbaum, & Sean P. Pitroda. (2025). Tumor aneuploidy as a prognostic and predictive biomarker in immune checkpoint blockade. Nature Genetics. 57(8). 1802–1811. 1 indexed citations
2.
Spurr, Liam F. & Sean P. Pitroda. (2024). Clinical and molecular correlates of tumor aneuploidy in metastatic non-small cell lung cancer. Scientific Reports. 14(1). 19375–19375. 2 indexed citations
3.
Spurr, Liam F. & Sean P. Pitroda. (2024). Exploiting tumor aneuploidy as a biomarker and therapeutic target in patients treated with immune checkpoint blockade. npj Precision Oncology. 8(1). 1–1. 27 indexed citations
4.
Federico, Alessandro Di, Stephanie Alden, James W. Smithy, et al.. (2024). Intrapatient variation in PD-L1 expression and tumor mutational burden and the impact on outcomes to immune checkpoint inhibitor therapy in patients with non-small-cell lung cancer. Annals of Oncology. 35(10). 902–913. 24 indexed citations
5.
Spurr, Liam F., Carlos Alberto Martínez, Woojin Kang, et al.. (2023). Concurrent Radiation and Immunotherapy Augments Local Immunity and Improves Survival in Aneuploid NSCLC. International Journal of Radiation Oncology*Biology*Physics. 117(2). S23–S23. 1 indexed citations
6.
Spurr, Liam F., et al.. (2023). Emergency Department Preparedness to Care for Sexual Assault Survivors: A Nationwide Study. Western Journal of Emergency Medicine. 24(3). 629–636. 1 indexed citations
7.
8.
Shih, Juliann, Shahab Sarmashghi, Shu Zhang, et al.. (2023). Cancer aneuploidies are shaped primarily by effects on tumour fitness. Nature. 619(7971). 793–800. 46 indexed citations
9.
Spurr, Liam F., Carlos A. Martinez, Rohan Katipally, et al.. (2022). A proliferative subtype of colorectal liver metastases exhibits hypersensitivity to cytotoxic chemotherapy. npj Precision Oncology. 6(1). 72–72. 5 indexed citations
10.
Gurjao, Carino, Rong Zhong, Koichiro Haruki, et al.. (2021). Discovery and Features of an Alkylating Signature in Colorectal Cancer. Cancer Discovery. 11(10). 2446–2455. 42 indexed citations
11.
Liu, Hongyu, Liam F. Spurr, Pavlos Bousounis, et al.. (2021). scReQTL: an approach to correlate SNVs to gene expression from individual scRNA-seq datasets. BMC Genomics. 22(1). 40–40. 10 indexed citations
12.
Ricciuti, Biagio, Gonzalo Recondo, Liam F. Spurr, et al.. (2020). Impact of DNA Damage Response and Repair (DDR) Gene Mutations on Efficacy of PD-(L)1 Immune Checkpoint Inhibition in Non–Small Cell Lung Cancer. Clinical Cancer Research. 26(15). 4135–4142. 102 indexed citations
13.
Liu, Hongyu, et al.. (2020). Estimating the Allele-Specific Expression of SNVs From 10× Genomics Single-Cell RNA-Sequencing Data. Genes. 11(3). 240–240. 16 indexed citations
14.
Alessi, Joao V., Carolyn Glass, Biagio Ricciuti, et al.. (2020). Clinicopathologic characteristics and immunotherapy outcomes in SMARCA4-mutant (mut) non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 38(15_suppl). 9577–9577. 4 indexed citations
15.
Lamberti, Giuseppe, Liam F. Spurr, Y. Li, et al.. (2020). Clinicopathological and genomic correlates of programmed cell death ligand 1 (PD-L1) expression in nonsquamous non-small-cell lung cancer. Annals of Oncology. 31(6). 807–814. 66 indexed citations
16.
Cleary, James M., Srivatsan Raghavan, Yvonne Y. Li, et al.. (2020). Therapeutic targeting of extracellular FGFR2 activating deletions in intrahepatic cholangiocarcinoma.. Journal of Clinical Oncology. 38(4_suppl). 567–567. 1 indexed citations
17.
Lamberti, Giuseppe, Y. Li, Liam F. Spurr, et al.. (2019). P2.04-32 Comparison of Clinicopathological and Genomic Characteristics Between NSCLCs with a PD-L1 Tumor Proportion Score of ≥90% vs <1%. Journal of Thoracic Oncology. 14(10). S720–S721. 2 indexed citations
18.
Spurr, Liam F., Pavlos Bousounis, Hongyu Liu, et al.. (2019). ReQTL: identifying correlations between expressed SNVs and gene expression using RNA-sequencing data. Bioinformatics. 36(5). 1351–1359. 8 indexed citations
19.
Spurr, Liam F., Muzi Li, Qianqian Zhang, et al.. (2018). Systematic pan-cancer analysis of somatic allele frequency. Scientific Reports. 8(1). 7735–7735. 17 indexed citations
20.
Restrepo, Paula, Mercedeh Movassagh, Muzi Li, et al.. (2017). Overexpressed somatic alleles are enriched in functional elements in Breast Cancer. Scientific Reports. 7(1). 8287–8287. 2 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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