Matthew Labriola

669 total citations
23 papers, 238 citations indexed

About

Matthew Labriola is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Matthew Labriola has authored 23 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Matthew Labriola's work include Renal cell carcinoma treatment (11 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Ferroptosis and cancer prognosis (7 papers). Matthew Labriola is often cited by papers focused on Renal cell carcinoma treatment (11 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Ferroptosis and cancer prognosis (7 papers). Matthew Labriola collaborates with scholars based in United States, United Kingdom and Canada. Matthew Labriola's co-authors include Jason Zhu, Tian Zhang, Rajan T. Gupta, Daniel J. George, Andrew J. Armstrong, Michael R. Harrison, Daniel J. George, Shannon J. McCall, Jennifer Jackson and Rhonda L. Bitting and has published in prestigious journals such as Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer and Future Oncology.

In The Last Decade

Matthew Labriola

18 papers receiving 234 citations

Peers

Matthew Labriola
Catrin Cox United Kingdom
Roby Thomas United States
Nusayba A. Bagegni United States
Tamara Snow United States
Elizabeth Liow Australia
Paz J. Vellanki United States
Catrin Cox United Kingdom
Matthew Labriola
Citations per year, relative to Matthew Labriola Matthew Labriola (= 1×) peers Catrin Cox

Countries citing papers authored by Matthew Labriola

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Labriola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Labriola. 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 Matthew Labriola. The network helps show where Matthew Labriola may publish in the future.

Co-authorship network of co-authors of Matthew Labriola

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Labriola. A scholar is included among the top collaborators of Matthew Labriola 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 Matthew Labriola. Matthew Labriola 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.
Morgan, Sarah, et al.. (2025). Grief Among Oncology Providers: Prevalence and Association with Burnout. Journal of Cancer Education. 40(6). 999–1006.
2.
Sutton, Linda, et al.. (2024). Patient engagement in designing and publishing research in prostate cancer: a scoping review. Future Oncology. 20(35). 2779–2790.
3.
4.
Labriola, Matthew, et al.. (2023). Foreign accent syndrome as a heralding manifestation of transformation to small cell neuroendocrine prostate cancer. BMJ Case Reports. 16(1). e251655–e251655. 3 indexed citations
5.
Galanos, Anthony N. & Matthew Labriola. (2022). How we manage grief.. PubMed. 20(9). 561–563. 1 indexed citations
6.
Brown, Landon C., Matthew D. Tucker, Ramy Sedhom, et al.. (2021). LRP1B mutations are associated with favorable outcomes to immune checkpoint inhibitors across multiple cancer types. Journal for ImmunoTherapy of Cancer. 9(3). e001792–e001792. 73 indexed citations
7.
Labriola, Matthew & Daniel J. George. (2021). Differences in Toxicity and Outcomes in Clinical Trial Participants From Minority Populations. American Society of Clinical Oncology Educational Book. 41(41). e128–e132. 4 indexed citations
8.
Labriola, Matthew, et al.. (2020). Management of men with metastatic castration-resistant prostate cancer following potent androgen receptor inhibition: a review of novel investigational therapies. Prostate Cancer and Prostatic Diseases. 24(2). 301–309. 24 indexed citations
9.
Brown, Landon C., Jason Zhu, Matthew Labriola, et al.. (2020). PD-L1 Assay Concordance in Metastatic Renal Cell Carcinoma and Metastatic Urothelial Carcinoma. Clinical Genitourinary Cancer. 18(6). 509–513. 1 indexed citations
10.
Brown, Landon C., Ramy Sedhom, Eric Schwartz, et al.. (2020). Association of LRP1B pathogenic genomic alterations with favorable outcomes with immune checkpoint inhibitors across multiple tumor types.. Journal of Clinical Oncology. 38(15_suppl). 3007–3007. 5 indexed citations
11.
Labriola, Matthew, Jason Zhu, Rajan T. Gupta, et al.. (2020). Characterization of tumor mutation burden, PD-L1 and DNA repair genes to assess relationship to immune checkpoint inhibitors response in metastatic renal cell carcinoma. Journal for ImmunoTherapy of Cancer. 8(1). e000319–e000319. 66 indexed citations
12.
Labriola, Matthew, Kristen A. Batich, Jason Zhu, et al.. (2019). Immunotherapy Is Changing First-Line Treatment of Metastatic Renal-Cell Carcinoma. Clinical Genitourinary Cancer. 17(3). e513–e521. 33 indexed citations
13.
Labriola, Matthew, Jason Zhu, Rajan T. Gupta, et al.. (2019). Characterization of tumor mutational burden (TMB), PD-L1, and DNA repair genes to assess correlation with immune checkpoint inhibitors (ICIs) response in metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 37(15_suppl). e16079–e16079. 4 indexed citations
14.
Zhu, Jason, Sarabjot Pabla, Matthew Labriola, et al.. (2019). Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor (ICI) response in metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 37(7_suppl). 607–607. 1 indexed citations
15.
Zhu, Jason, Sarabjot Pabla, Matthew Labriola, et al.. (2019). Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor (ICI) response in metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 37(8_suppl). 63–63.
16.
Zhu, Jason, Sarabjot Pabla, Matthew Labriola, et al.. (2019). Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor (ICI) response in metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 37(15_suppl). 2595–2595. 2 indexed citations
17.
Zhu, Jason, Matthew D. Tucker, Chester Kao, et al.. (2019). Immune checkpoint inhibitor response in tumors with LRP1B variants.. Journal of Clinical Oncology. 37(15_suppl). e14291–e14291. 2 indexed citations
18.
Glenn, Sean T., Sarabjot Pabla, Jason Zhu, et al.. (2019). Cell proliferation as a biomarker for response to immune checkpoint inhibitors in PD-L1 negative renal cell carcinoma.. Journal of Clinical Oncology. 37(8_suppl). 62–62. 4 indexed citations
19.
Labriola, Matthew, Wen‐Chi Foo, Daniel J. George, & Tian Zhang. (2018). Pazopanib in the Treatment of Bilateral Multifocal Renal Oncocytomas: A Case Report. Clinical Genitourinary Cancer. 16(3). e509–e512. 1 indexed citations
20.
Hardart, George E., Matthew Labriola, Kenneth Prager, & Marilyn C. Morris. (2017). Consent for organ donation after circulatory death at U.S. transplant centers. AJOB Empirical Bioethics. 8(3). 205–210. 5 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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