Craig Norton

1.8k total citations
11 papers, 370 citations indexed

About

Craig Norton is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Craig Norton has authored 11 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Craig Norton's work include Renal cell carcinoma treatment (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Genomics and Diagnostics (5 papers). Craig Norton is often cited by papers focused on Renal cell carcinoma treatment (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Genomics and Diagnostics (5 papers). Craig Norton collaborates with scholars based in United States, Spain and France. Craig Norton's co-authors include Toni K. Choueiri, Aly‐Khan A. Lalani, Dominick Bossé, Lauren C. Harshman, Katherine M. Krajewski, Dylan J. Martini, Bradley A. McGregor, John A. Steinharter, Eliezer M. Van Allen and Wanling Xie and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and British Journal of Cancer.

In The Last Decade

Craig Norton

11 papers receiving 367 citations

Peers

Craig Norton
Sarah Caulfield United States
Susie Bae Australia
M. Frueh Switzerland
Yvonne Ang Singapore
Craig Norton
Citations per year, relative to Craig Norton Craig Norton (= 1×) peers T-E. Ciuleanu

Countries citing papers authored by Craig Norton

Since Specialization
Citations

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

Fields of papers citing papers by Craig Norton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Norton

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Norton. A scholar is included among the top collaborators of Craig Norton 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 Craig Norton. Craig Norton 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
1.
Lalani, Aly‐Khan A., Wanling Xie, Dylan J. Martini, et al.. (2018). Change in neutrophil-to-lymphocyte ratio (NLR) in response to immune checkpoint blockade for metastatic renal cell carcinoma. Journal for ImmunoTherapy of Cancer. 6(1). 5–5. 197 indexed citations
2.
Velasco, Guillermo de, Stephanie A. Wankowicz, Russell W. Madison, et al.. (2018). Targeted genomic landscape of metastases compared to primary tumours in clear cell metastatic renal cell carcinoma. British Journal of Cancer. 118(9). 1238–1242. 26 indexed citations
3.
Martini, Dylan J., Lana Hamieh, Rana R. McKay, et al.. (2018). Durable Clinical Benefit in Metastatic Renal Cell Carcinoma Patients Who Discontinue PD-1/PD-L1 Therapy for Immune-Related Adverse Events. Cancer Immunology Research. 6(4). 402–408. 54 indexed citations
5.
Miao, Diana, Claire A. Margolis, Dylan J. Martini, et al.. (2017). Loss-of-function of PBRM1 to predict response to anti-PD-1/PD-L1 therapy in metastatic renal cell carcinoma.. Journal of Clinical Oncology. 35(15_suppl). 3016–3016. 3 indexed citations
6.
Miao, Diana, Guillermo de Velasco, Dennis O. Adeegbe, et al.. (2017). Abstract A18: Genomic and neoantigen evolution and resistance to immune checkpoint blockade in metastatic renal cell carcinoma. Cancer Immunology Research. 5(3_Supplement). A18–A18. 1 indexed citations
7.
Pignon, Jean‐Christophe, Opeyemi A. Jegede, Kathleen M. Mahoney, et al.. (2017). Impact of immune checkpoint protein expression in tumor cells and tumor infiltrating CD8+ T cells on clinical benefit from PD-1 blockade in metastatic clear cell renal cell carcinoma (mccRCC).. Journal of Clinical Oncology. 35(6_suppl). 477–477. 9 indexed citations
8.
McKay, Rana R., Dylan J. Martini, Raphael Brandão Moreira, et al.. (2017). Outcomes of PD-1/PD-L1 responders who discontinue therapy for immune-related adverse events (irAEs): Results of a cohort of patients (pts) with metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 35(6_suppl). 467–467. 7 indexed citations
9.
Wells, J. Connor, Igor Stukalin, Craig Norton, et al.. (2016). Third-line Targeted Therapy in Metastatic Renal Cell Carcinoma: Results from the International Metastatic Renal Cell Carcinoma Database Consortium. European Urology. 71(2). 204–209. 58 indexed citations
10.
Desotelle, Joshua A., Erika Héninger, Jennifer L. Schehr, et al.. (2016). Abstract 3159: Identification of circulating tumor cells from renal cell carcinoma patients by a multi-parameter flow cytometry assay. Cancer Research. 76(14_Supplement). 3159–3159. 1 indexed citations
11.
Mahoney, Kathleen M., Ritesh R. Kotecha, Marcella Callea, et al.. (2016). Association of higher PD-L1 expression in tumor cells of metastatic ccRCC lesions with worse overall survival.. Journal of Clinical Oncology. 34(15_suppl). e23221–e23221. 1 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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