Tim Akhurst

6.4k citations
67 papers · 4.1k indexed · 2 hit papers · h-index 29

Tim Akhurst

65 papers receiving 4.1k citations

Hit Papers

Dosimetry of 177Lu-PSMA-617 in Metastatic Castration-Resi...3392018202620202023250500750

Peers

Tim Akhurst
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Pulmonary and Respiratory Medicine 2.4k
  • Cancer Research 754
  • Oncology 1.3k
  • Otorhinolaryngology 111
Replace Andrei Iagaru with:
Andrei Iagaru United States
Paolo Castellucci Italy
Martin Allen-Auerbach United States
Kathryn Beal United States
Robert Ford United States
Françoise Kraeber‐Bodéré France
Charles Ferté France
Guido Lammering Netherlands
Maria Picchio Italy
Flavio Crippa Italy
Tim Akhurst relative to Andrei Iagaru United States Andrei Iagaru's profile →
Citations per field
00.5×1.5×1.9×
Andrei Iagaru · 1×
Citations per year

Countries citing papers authored by Tim Akhurst

Since Specialization
Citations

This map shows the geographic impact of Tim 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 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 Akhurst more than expected).

Fields of papers citing papers by Tim Akhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tim Akhurst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Akhurst Line = papers co-authored together Tim Akhurst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202215
3 202117
4 20212
5 2020115
6 202049
7 201940
8 20196
9
[177Lu]-PSMA-617 radionuclide treatment in patients with metastatic castration-resistant prostate cancer (LuPSMA trial): a single-centre, single-arm, phase 2 studybreakdown →
2018815
10 201818
11
Dosimetry of 177Lu-PSMA-617 in Metastatic Castration-Resistant Prostate Cancer: Correlations Between Pretherapeutic Imaging and Whole-Body Tumor Dosimetry with Treatment Outcomesbreakdown →
2018339
12 2018129
13 201740
14 2016126
15 20156
16 200742
17 2006115
18 200351
19 200176
20 199946

About Tim Akhurst

Tim Akhurst is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 67 papers that have together received 4.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Lung Cancer Diagnosis and Treatment (13 papers), Radiopharmaceutical Chemistry and Applications (12 papers), Neuroendocrine Tumor Research Advances (9 papers), Neuroblastoma Research and Treatments (9 papers), Lung Cancer Research Studies (8 papers) and Prostate Cancer Treatment and Research (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Pulmonary and Respiratory Medicine (2.4k citations) and Cancer Research (754 citations). Tim Akhurst has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Rodney J. Hicks, Michael S. Hofman, Grace Kong, Amir Iravani, Shahneen Sandhu, Aravind Ravi Kumar, Declan G. Murphy, John Violet, Scott Williams and Sue Ping Thang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Clinical Oncology, Journal of Thoracic Oncology, Journal of Nuclear Medicine 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.

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