Joe M. O’Sullivan

24.5k total citations · 4 hit papers
258 papers, 8.3k citations indexed

About

Joe M. O’Sullivan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Joe M. O’Sullivan has authored 258 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Pulmonary and Respiratory Medicine, 126 papers in Radiology, Nuclear Medicine and Imaging and 67 papers in Oncology. Recurrent topics in Joe M. O’Sullivan's work include Prostate Cancer Treatment and Research (108 papers), Radiopharmaceutical Chemistry and Applications (78 papers) and Advanced Radiotherapy Techniques (57 papers). Joe M. O’Sullivan is often cited by papers focused on Prostate Cancer Treatment and Research (108 papers), Radiopharmaceutical Chemistry and Applications (78 papers) and Advanced Radiotherapy Techniques (57 papers). Joe M. O’Sullivan collaborates with scholars based in United Kingdom, United States and Ireland. Joe M. O’Sullivan's co-authors include Kevin M. Prise, Suneil Jain, D G Hirst, Alan R. Hounsell, Karl T. Butterworth, Stephen J. McMahon, Sten Nilsson, Conor K. McGarry, Oliver Sartor and Jonathan A. Coulter and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Nature reviews. Cancer.

In The Last Decade

Joe M. O’Sullivan

250 papers receiving 8.1k citations

Hit Papers

Gold nanoparticles as nov... 2009 2026 2014 2020 2012 2009 2010 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Joe M. O’Sullivan 4.6k 3.4k 2.2k 1.5k 1.2k 258 8.3k
Heiko Schöder 4.9k 1.1× 7.7k 2.3× 3.0k 1.4× 1.6k 1.0× 1.0k 0.9× 342 14.8k
Paul Okunieff 3.7k 0.8× 3.4k 1.0× 2.1k 1.0× 2.0k 1.3× 2.4k 2.1× 233 11.3k
Volker Budach 4.6k 1.0× 2.3k 0.7× 3.5k 1.6× 2.1k 1.4× 1.5k 1.3× 395 12.3k
Øyvind S. Bruland 4.1k 0.9× 3.6k 1.1× 2.9k 1.3× 654 0.4× 1.4k 1.2× 238 8.2k
Shankar Siva 4.6k 1.0× 2.7k 0.8× 1.9k 0.9× 1.7k 1.1× 1.2k 1.0× 313 7.3k
Wilson Roa 3.3k 0.7× 1.2k 0.4× 1.1k 0.5× 1.1k 0.7× 1.3k 1.2× 158 7.0k
Sunil Krishnan 2.9k 0.6× 1.2k 0.4× 3.7k 1.7× 977 0.6× 1.8k 1.6× 197 9.1k
Theodore L. DeWeese 4.1k 0.9× 1.5k 0.4× 2.7k 1.2× 1.3k 0.9× 3.1k 2.7× 226 10.0k
Pat Zanzonico 1.9k 0.4× 4.7k 1.4× 2.2k 1.0× 867 0.6× 2.9k 2.5× 269 11.6k
Michael G. Stabin 2.5k 0.6× 7.1k 2.1× 1.6k 0.7× 1.9k 1.2× 820 0.7× 213 9.8k

Countries citing papers authored by Joe M. O’Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Joe M. O’Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe M. O’Sullivan. 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 Joe M. O’Sullivan. The network helps show where Joe M. O’Sullivan may publish in the future.

Co-authorship network of co-authors of Joe M. O’Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Joe M. O’Sullivan. A scholar is included among the top collaborators of Joe M. O’Sullivan 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 Joe M. O’Sullivan. Joe M. O’Sullivan 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
2.
O’Sullivan, Joe M., Daniel Heinrich, Elena Castro, et al.. (2025). Alkaline phosphatase decline and pain response as predictors of overall survival benefit in patients treated with radium-223: a post hoc analysis of the REASSURE study. British Journal of Cancer. 132(4). 354–360.
4.
Harding, Thomas, Richard M. Martin, Samuel WD Merriel, et al.. (2024). Optimising the use of the prostate- specific antigen blood test in asymptomatic men for early prostate cancer detection in primary care: report from a UK clinical consensus. British Journal of General Practice. 74(745). e534–e543. 4 indexed citations
5.
Jain, Suneil, Aidan Cole, Glaxy Grey, et al.. (2021). Toxicity and Efficacy of Concurrent Androgen Deprivation Therapy, Pelvic Radiotherapy, and Radium-223 in Patients with De Novo Metastatic Hormone-Sensitive Prostate Cancer. Clinical Cancer Research. 27(16). 4549–4556. 7 indexed citations
6.
Cardwell, Chris R., et al.. (2021). Hormone therapy use and the risk of acute kidney injury in patients with prostate cancer: a population-based cohort study. Prostate Cancer and Prostatic Diseases. 24(4). 1055–1062. 6 indexed citations
7.
O’Sullivan, Joe M., et al.. (2020). Targeted Alpha Therapy: Current Clinical Applications. Cancer Biotherapy and Radiopharmaceuticals. 35(6). 404–417. 73 indexed citations
8.
Cerdeira, Ana Sofia, Joe M. O’Sullivan, Eric O. Ohuma, et al.. (2019). Randomized Interventional Study on Prediction of Preeclampsia/Eclampsia in Women With Suspected Preeclampsia. Hypertension. 74(4). 983–990. 98 indexed citations
10.
Osman, Sarah, Ralph T. H. Leijenaar, Aidan Cole, et al.. (2019). Computed Tomography-based Radiomics for Risk Stratification in Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 105(2). 448–456. 39 indexed citations
11.
O’Sullivan, Joe M., Sonia Águila, Soracha E. Ward, et al.. (2016). N‐linked glycan truncation causes enhanced clearance of plasma‐derived von Willebrand factor. Journal of Thrombosis and Haemostasis. 14(12). 2446–2457. 30 indexed citations
13.
14.
O’Sullivan, Joe M., Dag Clement Johannessen, Anders Widmark, et al.. (2013). Hematologic safety of radium-223 dichloride (Ra-223) in the phase 3 ALSYMPCA trial in castration-resistant prostate cancer (CRPC) patients with bone metastases : baseline prognostic factor subgroup analysis. European Journal of Cancer. 49. 3 indexed citations
15.
Maxwell, Pamela, Roberta Mazzucchelli, Rodolfo Montironi, et al.. (2012). Elevation of c-FLIP in Castrate-Resistant Prostate Cancer Antagonizes Therapeutic Response to Androgen Receptor–Targeted Therapy. Clinical Cancer Research. 18(14). 3822–3833. 51 indexed citations
16.
Chittenden, Sarah, et al.. (2007). Tumor Dosimetry on SPECT 186 Re-HEDP Scans: Variations in the Results from the Reconstruction Methods Used. Cancer Biotherapy and Radiopharmaceuticals. 22(1). 121–124. 2 indexed citations
17.
Markos, F., et al.. (2002). Reverse arterial wall shear stress causes nitric oxide-dependent vasodilatation in the anaesthetised dog. Pflügers Archiv - European Journal of Physiology. 445(1). 51–54. 10 indexed citations
18.
McCready, V. R., Joe M. O’Sullivan, David P. Dearnaley, & J. Treleaven. (2001). Quantitative analysis of bone scans to determine if the dose to individual metastases from high activity Re186HEDP therapy depends upon the number of metastases. Radiology. 221. 344–344. 1 indexed citations
19.
McCready, V. R., Joe M. O’Sullivan, Francesca M. Buffa, et al.. (2001). The relationship between skeletal metastatic load and therapeutic activity requirement in prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 28. 1054–1054. 2 indexed citations
20.
Elledge, Richard, Daniel R. Ciocca, R Pugh, et al.. (1998). HER-2 expression and response to tamoxifen in estrogen receptor-positive breast cancer: a Southwest Oncology Group Study.. PubMed. 4(1). 7–12. 203 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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