Devon J. Boyne

1.5k total citations · 1 hit paper
73 papers, 970 citations indexed

About

Devon J. Boyne is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Devon J. Boyne has authored 73 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Oncology, 35 papers in Pulmonary and Respiratory Medicine and 11 papers in Molecular Biology. Recurrent topics in Devon J. Boyne's work include Colorectal Cancer Screening and Detection (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Cancer survivorship and care (8 papers). Devon J. Boyne is often cited by papers focused on Colorectal Cancer Screening and Detection (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Cancer survivorship and care (8 papers). Devon J. Boyne collaborates with scholars based in Canada, United States and United Kingdom. Devon J. Boyne's co-authors include Darren R. Brenner, Paul Arora, Justin Slater, Winson Y. Cheung, Audrey Béliveau, Christine M. Friedenreich, Dylan E. O’Sullivan, Alind Gupta, Marek J. Drużdżel and Colleen Cuthbert and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Devon J. Boyne

71 papers receiving 959 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses

2019 213 citations Audrey Béliveau, Devon J. Boyne et al. BMC Medical Research Methodology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Devon J. Boyne Canada	18	367	223	152	121	106	73	970
Aya Mitani United States	20	336 0.9×	295 1.3×	270 1.8×	114 0.9×	92 0.9×	60	1.2k
Ronald J. Maggiore United States	21	532 1.4×	330 1.5×	149 1.0×	87 0.7×	183 1.7×	46	1.2k
Alice Fuller United Kingdom	15	395 1.1×	134 0.6×	119 0.8×	126 1.0×	99 0.9×	29	972
Charlie M. Wray United States	18	180 0.5×	333 1.5×	124 0.8×	131 1.1×	128 1.2×	58	1.1k
Fleur Delva France	14	319 0.9×	346 1.6×	175 1.2×	45 0.4×	154 1.5×	68	1.4k
Charlotte Moss United Kingdom	17	218 0.6×	123 0.6×	185 1.2×	124 1.0×	66 0.6×	57	1.3k
Helen E. Seaman United Kingdom	19	550 1.5×	296 1.3×	296 1.9×	113 0.9×	157 1.5×	30	1.8k
Maurizio Belfiglio Italy	23	275 0.7×	316 1.4×	184 1.2×	164 1.4×	185 1.7×	48	2.0k
Paul Celano United States	15	194 0.5×	233 1.0×	183 1.2×	136 1.1×	113 1.1×	24	1.2k
Frédéric Pamoukdjian France	14	285 0.8×	207 0.9×	132 0.9×	92 0.8×	42 0.4×	42	917

Countries citing papers authored by Devon J. Boyne

Since Specialization

Citations

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

Fields of papers citing papers by Devon J. Boyne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devon J. Boyne. 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 Devon J. Boyne. The network helps show where Devon J. Boyne may publish in the future.

Co-authorship network of co-authors of Devon J. Boyne

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kolinsky, Michael, et al.. (2024). A real-world observational study characterizing patients (pts) with metastatic castration-sensitive prostate cancer (mCSPC) treated with or without androgen receptor pathway inhibitors (ARPIs).. Journal of Clinical Oncology. 42(4_suppl). 59–59. 1 indexed citations

O’Sullivan, Dylan E., Devon J. Boyne, Jessica A. Inskip, et al.. (2024). Real-World Treatment Patterns, Clinical Outcomes, and Healthcare Resource Utilization in Early-Stage Non-Small-Cell Lung Cancer. Current Oncology. 31(1). 447–461. 1 indexed citations

Boyne, Devon J., Dylan E. O’Sullivan, Darren R. Brenner, et al.. (2024). Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data. BMC Medical Research Methodology. 24(1). 63–63. 1 indexed citations

Sutherland, Robert L., Devon J. Boyne, Darren R. Brenner, & Winson Y. Cheung. (2023). The Impact of BRAF Mutation Status on Survival Outcomes and Treatment Patterns among Metastatic Colorectal Cancer Patients in Alberta, Canada. Cancers. 15(24). 5748–5748. 2 indexed citations

Takemura, Kosuke, Devon J. Boyne, Matthew T. Warkentin, et al.. (2023). 1902P Comparison of cabozantinib (CABO) versus sunitinib (SUN) following first-line (1L) nivolumab plus ipilimumab (NIVO+IPI) for metastatic renal cell carcinoma (mRCC): A target trial emulation using real-world data from the International mRCC Database Consortium (IMDC). Annals of Oncology. 34. S1023–S1024. 2 indexed citations

Navani, Vishal, Daniel E. Meyers, Yibing Ruan, et al.. (2023). Lung Immune Therapy Evaluation (LITE) Risk, a Novel Prognostic Model for Patients With Advanced Non-Small Cell Lung Cancer Treated With Immune Checkpoint Blockade. Clinical Lung Cancer. 24(3). e152–e159. 2 indexed citations

Cuthbert, Colleen, Dylan E. O’Sullivan, Devon J. Boyne, Darren R. Brenner, & Winson Y. Cheung. (2023). Patient-Reported Symptom Burden and Supportive Care Needs of Patients With Stage II-III Colorectal Cancer During and After Adjuvant Systemic Treatment: A Real-World Evidence Study. JCO Oncology Practice. 19(3). e377–e388. 4 indexed citations

Stukalin, Igor, Vishal Navani, Yibing Ruan, et al.. (2023). Development and Validation of a Prognostic Risk Model for Patients with Advanced Melanoma Treated with Immune Checkpoint Inhibitors. The Oncologist. 28(9). 812–822. 6 indexed citations

Karim, Safiya, Dylan E. O’Sullivan, Christopher J.D. Wallis, et al.. (2023). A Real-World Evidence Study Using Alberta-Population-Based Data to Describe Treatment Patterns for Metastatic Castration-Sensitive Prostate Cancer Patients (AWARENESS). Current Oncology. 30(9). 8149–8158. 5 indexed citations

10.

O’Sullivan, Dylan E., Devon J. Boyne, Priyanka Gogna, Darren R. Brenner, & Winson Y. Cheung. (2023). Understanding Real-World Treatment Patterns and Clinical Outcomes among Metastatic Melanoma Patients in Alberta, Canada. Current Oncology. 30(4). 4166–4176. 4 indexed citations

11.

Boyne, Devon J., et al.. (2023). Comparative Effectiveness of Lurbinectedin for the Treatment of Relapsed Small Cell Lung Cancer in the Post-Platinum Setting: A Real-World Canadian Synthetic Control Arm Analysis. Targeted Oncology. 18(5). 697–705. 5 indexed citations

12.

Navani, Vishal, J. Connor Wells, Devon J. Boyne, et al.. (2022). CABOSEQ: The Effectiveness of Cabozantinib in Patients With Treatment Refractory Advanced Renal Cell Carcinoma: Results From the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC). Clinical Genitourinary Cancer. 21(1). 106.e1–106.e8. 12 indexed citations

13.

Weaver, Colin, Tyler Williamson, Kerry McBrien, et al.. (2022). Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review. JMIR Research Protocols. 11(3). e30956–e30956. 5 indexed citations

14.

Heer, Emily, Yibing Ruan, Teresa T. Nguyen, et al.. (2022). The efficacy of chemopreventive agents on the incidence of colorectal adenomas: A systematic review and network meta-analysis. Preventive Medicine. 162. 107169–107169. 13 indexed citations

15.

Gupta, Alind, Paul Arora, Darren R. Brenner, et al.. (2021). Risk Prediction Using Bayesian Networks: An Immunotherapy Case Study in Patients With Metastatic Renal Cell Carcinoma. JCO Clinical Cancer Informatics. 5(5). 326–337. 1 indexed citations

16.

Mazurek, Matthew, Alistair Murray, Steven J. Heitman, et al.. (2021). Association Between Endoscopist Specialty and Colonoscopy Quality: A Systematic Review and Meta-analysis. Clinical Gastroenterology and Hepatology. 20(9). 1931–1946. 22 indexed citations

17.

Boyne, Devon J., Darren R. Brenner, Tolulope T. Sajobi, et al.. (2020). Development of a Model for Predicting Early Discontinuation of Adjuvant Chemotherapy in Stage III Colon Cancer. JCO Clinical Cancer Informatics. 4(4). 972–984. 2 indexed citations

18.

Batra, Atul, Lin Yang, Devon J. Boyne, et al.. (2020). Symptom burden in patients with common cancers near end-of-life and its associations with clinical characteristics: a real-world study. Supportive Care in Cancer. 29(6). 3299–3309. 16 indexed citations

19.

Béliveau, Audrey, Devon J. Boyne, Justin Slater, Darren R. Brenner, & Paul Arora. (2019). BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses. BMC Medical Research Methodology. 19(1). 196–196. 213 indexed citations breakdown →

20.

Arora, Paul, Devon J. Boyne, Justin Slater, et al.. (2019). Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine. Value in Health. 22(4). 439–445. 114 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.

Explore authors with similar magnitude of impact