Tim J. Akhurst
Impact in
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- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Pulmonary and Respiratory Medicine top 0.5%
- Prostate Cancer Treatment and Research
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
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- Prostate Cancer Treatment and Research 15
- Lung Cancer Diagnosis and Treatment 10
- Lung Cancer Treatments and Mutations 5
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- Radiopharmaceutical Chemistry and Applications 10
- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Rodney John Hicks (27 shared papers)Prof Michael S. Hofman (19 shared papers)Grace Kong (16 shared papers)Amir Iravani (17 shared papers)Shahneen Kaur Sandhu (8 shared papers)Aravind Ravi Kumar (6 shared papers)Scott Williams (6 shared papers)John A. Violet (6 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (13 papers)Journal of Nuclear Medicine (7 papers)The Lancet Oncology (6 papers)Journal of Thoracic Oncology (4 papers)Cancer Imaging (2 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Tim J. Akhurst
74 papers receiving 5.4k citations
Tim J. Akhurst's Hit Papers
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 2.1k
- Pulmonary and Respiratory Medicine 2.9k
- Cancer Research 909
- Oncology 1.2k
- Otorhinolaryngology 126
Countries citing papers authored by Tim J. Akhurst
This map shows the geographic impact of Tim J. Akhurst'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 Tim J. Akhurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim J. Akhurst more than expected).
Fields of papers citing papers by Tim J. Akhurst
This network shows the impact of papers produced by Tim J. Akhurst. 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 Tim J. Akhurst. The network helps show where Tim J. Akhurst may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim J. Akhurst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | [177Lu]-PSMA-617 radionuclide treatment in patients with metastatic castration-resistant prostate cancer (LuPSMA trial): a single-centre, single-arm, phase 2 study Hit paper breakdown → | 2018 | 927 |
| 2 | Dosimetry of 177 Lu-PSMA-617 in Metastatic Castration-Resistant Prostate Cancer: Correlations Between Pretherapeutic Imaging and Whole-Body Tumor Dosimetry with Treatment Outcomes Hit paper breakdown → | 2018 | 391 |
| 3 | 1999 | 318 | |
| 4 | 2007 | 255 | |
| 5 | 2003 | 253 | |
| 6 | 2003 | 247 | |
| 7 | 2019 | 242 | |
| 8 | 2001 | 211 | |
| 9 | PSMA and FDG-PET as predictive and prognostic biomarkers in patients given [177Lu]Lu-PSMA-617 versus cabazitaxel for metastatic castration-resistant prostate cancer (TheraP): a biomarker analysis from a randomised, open-label, phase 2 trial Hit paper breakdown → | 2022 | 205 |
| 10 | Overall survival with [177Lu]Lu-PSMA-617 versus cabazitaxel in metastatic castration-resistant prostate cancer (TheraP): secondary outcomes of a randomised, open-label, phase 2 trial Hit paper breakdown → | 2023 | 154 |
| 11 | 2018 | 151 | |
| 12 | 2000 | 143 | |
| 13 | 2016 | 139 | |
| 14 | 2002 | 137 | |
| 15 | 2020 | 136 | |
| 16 | 2002 | 128 | |
| 17 | Combined 18F-FDG and 11C-methionine PET scans in patients with newly progressive metastatic prostate cancer. | 2002 | 126 |
| 18 | 2006 | 122 | |
| 19 | 2019 | 95 | |
| 20 | 2001 | 80 |
About Tim J. Akhurst
Tim J. Akhurst is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Epidemiology, having authored 78 papers that have together received 5.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (15 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Lung Cancer Diagnosis and Treatment (10 papers), Medical Imaging Techniques and Applications (9 papers), Neuroendocrine Tumor Research Advances (6 papers), Lung Cancer Treatments and Mutations (5 papers), Breast Cancer Treatment Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Pulmonary and Respiratory Medicine (2.9k citations), Cancer Research (909 citations), Oncology (1.2k citations) and Otorhinolaryngology (126 citations). Tim J. Akhurst has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Rodney John Hicks, Prof Michael S. Hofman, Grace Kong, Amir Iravani, Shahneen Kaur Sandhu, Aravind Ravi Kumar, Scott Williams, John A. Violet, Declan G. Murphy and Sue Ping Thang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, The Lancet Oncology, Journal of Thoracic Oncology and Cancer Imaging.
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.