Peter J. Selby

28.2k total citations · 4 hit papers
339 papers, 19.8k citations indexed

About

Peter J. Selby is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Peter J. Selby has authored 339 papers receiving a total of 19.8k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Oncology, 109 papers in Molecular Biology and 64 papers in Immunology. Recurrent topics in Peter J. Selby's work include Virus-based gene therapy research (47 papers), Cancer survivorship and care (44 papers) and Immunotherapy and Immune Responses (44 papers). Peter J. Selby is often cited by papers focused on Virus-based gene therapy research (47 papers), Cancer survivorship and care (44 papers) and Immunotherapy and Immune Responses (44 papers). Peter J. Selby collaborates with scholars based in United Kingdom, United States and Ireland. Peter J. Selby's co-authors include Rosamonde E. Banks, Galina Velikova, Julia Brown, Adam B. Smith, Jennifer Southgate, Patricia Harnden, Alan Melcher, Richard G. Vile, Penny Wright and Kevin J. Harrington and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Peter J. Selby

332 papers receiving 19.2k citations

Hit Papers

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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.

High-Dose Chemotherapy with Hematopoietic Stem-Cell Rescue for Multiple Myeloma

2003 1.3k citations Peter J. Selby et al. profile →
Measuring Quality of Life in Routine Oncology Practice Improves Communication and Patient Well-Being: A Randomized Controlled Trial

2004 1.1k citations Peter J. Selby et al. profile →
The prevalence and outcomes of frailty in older cancer patients: a systematic review

2014 683 citations Peter J. Selby et al. profile →
Detection of melanoma cells in peripheral blood by means of reverse transcriptase and polymerase chain reaction

1991 545 citations Peter J. Selby et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peter J. Selby	8.2k	7.1k	2.6k	2.6k	2.6k	339	19.8k
Keitaro Matsuo	6.4k 0.8×	5.5k 0.8×	4.3k 1.6×	1.6k 0.6×	2.8k 1.1×	736	21.4k
Alan Cantor	4.6k 0.6×	6.9k 1.0×	2.6k 1.0×	1.7k 0.7×	1.6k 0.6×	286	17.8k
Stephen M. Schwartz	4.7k 0.6×	9.3k 1.3×	3.0k 1.1×	2.7k 1.0×	1.9k 0.7×	407	30.5k
Philip S. Rosenberg	5.9k 0.7×	3.8k 0.5×	2.5k 0.9×	3.4k 1.3×	1.1k 0.4×	245	18.7k
James F. Holland	5.6k 0.7×	4.3k 0.6×	2.1k 0.8×	1.5k 0.6×	3.4k 1.3×	400	15.6k
Ulf‐Håkan Stenman	4.1k 0.5×	5.5k 0.8×	4.7k 1.8×	1.2k 0.5×	992 0.4×	608	20.1k
John A. Glaspy	10.9k 1.3×	5.1k 0.7×	2.3k 0.9×	3.0k 1.2×	4.8k 1.9×	338	21.4k
Dan L. Longo	6.4k 0.8×	7.5k 1.1×	1.8k 0.7×	1.8k 0.7×	1.9k 0.7×	365	25.3k
Steven Piantadosi	11.1k 1.4×	5.6k 0.8×	10.1k 3.8×	2.0k 0.8×	2.0k 0.8×	259	30.5k
Emile E. Voest	8.5k 1.0×	7.3k 1.0×	3.1k 1.2×	1.2k 0.5×	764 0.3×	370	18.8k

Countries citing papers authored by Peter J. Selby

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Selby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Selby

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

All Works

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20 of 20 papers shown

Nelson, David, Natália Calanzani, Katie Spencer, et al.. (2025). Invisible geographies - the rural and coastal blind spot in UK cancer policy: A content analysis. Journal of Cancer Policy. 46. 100650–100650.

Kane, Ros, et al.. (2025). Ensuring equitable and affordable access to clean water for people living with cancer in a rural and coastal setting. Journal of Cancer Policy. 44. 100572–100572.

Quaife, Samantha L., Lucy Mitchinson, Zara Pogson, et al.. (2024). Understanding the impact of distance and disadvantage on lung cancer care and outcomes: a study protocol. BMC Cancer. 24(1). 942–942. 2 indexed citations

Nelson, David, Peter J. Selby, Ros Kane, et al.. (2024). Implementing the European code of cancer practice in rural settings. Journal of Cancer Policy. 39. 100465–100465. 5 indexed citations

Selby, Peter J., et al.. (2023). Benefits of Mentoring in Oncology Education for Mentors and Mentees: Pre-Post Interventional Study of the British Oncology Network for Undergraduate Societies' National Oncology Mentorship Scheme. JMIR Medical Education. 9. e48263–e48263. 1 indexed citations

Nelson, David, et al.. (2023). Developing a ‘Living with Cancer’ programme in a rural and coastal setting: Experiences of collaborative and innovative co-production across an Integrated Health System. Journal of Cancer Policy. 38. 100452–100452. 3 indexed citations

Savage, Richard S., Richard D Neal, C. Johnston, et al.. (2022). Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study. BMJ Open. 12(4). e053590–e053590. 4 indexed citations

Lawler, Mark, et al.. (2021). Implementing the European Code of Cancer Practice to Improve Europe’s Cancer Outcomes. 17(1). 9–9.

Evgin, Laura, Amanda L. Huff, Timothy Kottke, et al.. (2019). Suboptimal T-cell Therapy Drives a Tumor Cell Mutator Phenotype That Promotes Escape from First-Line Treatment. Cancer Immunology Research. 7(5). 828–840. 13 indexed citations

10.

Wah, Tze Min, Steven Sourbron, Daniel J. Wilson, et al.. (2018). Renal Cell Carcinoma Perfusion before and after Radiofrequency Ablation Measured with Dynamic Contrast Enhanced MRI: A Pilot Study. Diagnostics. 8(1). 3–3. 6 indexed citations

11.

Minian, Nadia, et al.. (2016). Blogging to Quit Smoking: Sharing Stories from Women of Childbearing Years in Ontario. SHILAP Revista de lepidopterología.

12.

Collinson, Fiona, Rachel A. Craven, David A. Cairns, et al.. (2013). Predicting Response to Bevacizumab in Ovarian Cancer: A Panel of Potential Biomarkers Informing Treatment Selection. Clinical Cancer Research. 19(18). 5227–5239. 58 indexed citations

13.

McCormick, Robert, Christopher Blick, Jiannis Ragoussis, et al.. (2013). miR-210 is a target of hypoxia-inducible factors 1 and 2 in renal cancer, regulates ISCU and correlates with good prognosis. British Journal of Cancer. 108(5). 1133–1142. 136 indexed citations

14.

Kottke, Timothy, Geoff Hall, José S. Pulido, et al.. (2010). Antiangiogenic cancer therapy combined with oncolytic virotherapy leads to regression of established tumors in mice. Journal of Clinical Investigation. 120(5). 1551–1560. 68 indexed citations

15.

Craven, Rachel A., D. Cohen, Claire Taylor, et al.. (2009). Analysis of VHL Gene Alterations and their Relationship to Clinical Parameters in Sporadic Conventional Renal Cell Carcinoma. Clinical Cancer Research. 15(24). 7582–7592. 137 indexed citations

16.

Vasudev, Naveen, Janet E. Brown, Sarah Brown, et al.. (2008). Prognostic Factors in Renal Cell Carcinoma: Association of Preoperative Sodium Concentration with Survival. Clinical Cancer Research. 14(6). 1775–1781. 31 indexed citations

17.

Nirmalan, Niroshini, Patricia Harnden, Peter J. Selby, & Rosamonde E. Banks. (2008). Mining the archival formalin-fixed paraffin-embedded tissue proteome: opportunities and challenges. Molecular BioSystems. 4(7). 712–720. 67 indexed citations

18.

Errington‐Mais, Fiona, Charles L. White, Katie Twigger, et al.. (2008). Inflammatory tumour cell killing by oncolytic reovirus for the treatment of melanoma. Gene Therapy. 15(18). 1257–1270. 86 indexed citations

19.

Banks, Rosamonde E., Prasanna Tirukonda, Claire Taylor, et al.. (2006). Genetic and Epigenetic Analysis of von Hippel-Lindau ( VHL ) Gene Alterations and Relationship with Clinical Variables in Sporadic Renal Cancer. Cancer Research. 66(4). 2000–2011. 214 indexed citations

20.

Ferguson, Roisean E., Sharon M. Jackson, Anthea J. Stanley, et al.. (2005). Intrinsic chemotherapy resistance to the tubulin‐binding antimitotic agents in renal cell carcinoma. International Journal of Cancer. 115(1). 155–163. 25 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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