K. Aitken

1.1k total citations
35 papers, 581 citations indexed

About

K. Aitken is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, K. Aitken has authored 35 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiation, 15 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in K. Aitken's work include Advanced Radiotherapy Techniques (16 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). K. Aitken is often cited by papers focused on Advanced Radiotherapy Techniques (16 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). K. Aitken collaborates with scholars based in United Kingdom, United States and Netherlands. K. Aitken's co-authors include M. Hawkins, Gerard G. Hanna, Merina Ahmed, Vincent Khoo, Alison Tree, William A. Hall, Eugene J. Koay, Bradley A. Erickson, K. Franks and David Eaton and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

K. Aitken

29 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Aitken United Kingdom 13 303 288 233 190 135 35 581
Kimberly M. Creach United States 12 472 1.6× 259 0.9× 316 1.4× 149 0.8× 135 1.0× 19 759
Gaia Piperno Italy 15 334 1.1× 153 0.5× 182 0.8× 172 0.9× 106 0.8× 57 648
Alessia Surgo Italy 15 446 1.5× 203 0.7× 287 1.2× 146 0.8× 147 1.1× 38 792
Athanasios Colonias United States 15 554 1.8× 260 0.9× 192 0.8× 205 1.1× 124 0.9× 61 762
Tamara LaCouture United States 13 308 1.0× 306 1.1× 193 0.8× 72 0.4× 113 0.8× 28 519
Darby Erler Canada 17 421 1.4× 318 1.1× 229 1.0× 235 1.2× 284 2.1× 61 738
Brandon M. Barney United States 14 339 1.1× 250 0.9× 187 0.8× 145 0.8× 371 2.7× 25 899
Shintaro Shiba Japan 16 331 1.1× 237 0.8× 151 0.6× 129 0.7× 111 0.8× 77 576
Wolfgang W. Baus Germany 11 408 1.3× 438 1.5× 341 1.5× 73 0.4× 125 0.9× 23 691
A. Miyakawa Japan 14 517 1.7× 302 1.0× 179 0.8× 106 0.6× 57 0.4× 51 615

Countries citing papers authored by K. Aitken

Since Specialization
Citations

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

Fields of papers citing papers by K. Aitken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Aitken

This figure shows the co-authorship network connecting the top 25 collaborators of K. Aitken. A scholar is included among the top collaborators of K. Aitken 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 K. Aitken. K. Aitken 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
1.
Aitken, K., Tom Crosby, Ganesh Radhakrishna, et al.. (2025). Radiotherapy for Oesophageal Cancer in the United Kingdom: Patterns of Practice and Quality Indicators. Clinical Oncology. 49. 103978–103978.
2.
Khan, Asadullah, Diana Tait, Irene Chong, et al.. (2025). Clinical outcomes of adjuvant chemoradiotherapy in pancreatic adenocarcinoma with R1 resection.. Journal of Clinical Oncology. 43(4_suppl). 731–731.
3.
Yeung, Kai Tai Derek, Joseph Doyle, Sacheen Kumar, et al.. (2024). Complete Primary Pathological Response Following Neoadjuvant Treatment and Radical Resection for Pancreatic Ductal Adenocarcinoma. Cancers. 16(2). 452–452.
4.
Aitken, K., Pètra M. Braam, Lois A. Daamen, et al.. (2023). Outcomes of Tolerability, Acute Toxicity and Quality of Life from MR-Guided Radiation Therapy (1.5T MR-Linac) for Liver Metastases in the MOMENTUM Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e156–e156. 1 indexed citations
5.
Gough, Jessica, et al.. (2022). Technical Radiotherapy Advances – The Role of Magnetic Resonance Imaging-Guided Radiation in the Delivery of Hypofractionation. Clinical Oncology. 34(5). 301–312. 5 indexed citations
6.
Slevin, Finbar, Matthew Beasley, R. Speight, et al.. (2021). Evaluation of the impact of teaching on delineation variation during a virtual stereotactic ablative radiotherapy contouring workshop. Journal of Radiotherapy in Practice. 22.
7.
Hall, William A., Christina Small, E.S. Paulson, et al.. (2021). Magnetic Resonance Guided Radiation Therapy for Pancreatic Adenocarcinoma, Advantages, Challenges, Current Approaches, and Future Directions. Frontiers in Oncology. 11. 628155–628155. 29 indexed citations
8.
Aitken, K., Jane Holmes, Mark Harrison, et al.. (2021). A multicentre retrospective review of SABR reirradiation in rectal cancer recurrence. Radiotherapy and Oncology. 162. 1–6. 10 indexed citations
9.
Aitken, K., J. Good, M. Hawkins, et al.. (2020). Liver Stereotactic Ablative Radiotherapy: an Effective and Feasible Alternative to Surgery during the COVID-19 Pandemic. Clinical Oncology. 32(7). 477–477. 4 indexed citations
10.
Dhont, Jennifer, et al.. (2020). Image-guided Radiotherapy to Manage Respiratory Motion: Lung and Liver. Clinical Oncology. 32(12). 792–804. 41 indexed citations
11.
Koay, Eugene J., Alexander N. Hanania, William A. Hall, et al.. (2020). Dose-Escalated Radiation Therapy for Pancreatic Cancer: A Simultaneous Integrated Boost Approach. Practical Radiation Oncology. 10(6). e495–e507. 47 indexed citations
12.
Kousi, Evanthia, et al.. (2018). An evaluation of systematic errors on marker-based registration of computed tomography and magnetic resonance images of the liver. Physics and Imaging in Radiation Oncology. 7. 27–31. 2 indexed citations
13.
Watkins, David, Kabir Mohammed, Ian Chau, et al.. (2018). Cisplatin Substitution with Carboplatin During Radical Chemoradiotherapy for Oesophagogastric Carcinoma: Outcomes from a Tertiary Centre. Anticancer Research. 38(10). 5943–5949. 2 indexed citations
14.
Hanna, Gerard G., Louise Murray, R. Patel, et al.. (2017). UK Consensus on Normal Tissue Dose Constraints for Stereotactic Radiotherapy. Clinical Oncology. 30(1). 5–14. 170 indexed citations
15.
Heerkens, H.D., William A. Hall, Paul Knechtges, et al.. (2016). Recommendations for MRI-based contouring of gross tumor volume and organs at risk for radiation therapy of pancreatic cancer. Practical Radiation Oncology. 7(2). 126–136. 41 indexed citations
16.
Aitken, K. & M. Hawkins. (2015). Stereotactic Body Radiotherapy for Liver Metastases. Clinical Oncology. 27(5). 307–315. 46 indexed citations
17.
Aitken, K., Alison Tree, Karen Thomas, et al.. (2015). Initial UK Experience of Stereotactic Body Radiotherapy for Extracranial Oligometastases: Can We Change the Therapeutic Paradigm?. Clinical Oncology. 27(7). 411–419. 30 indexed citations
18.
Aitken, K. & M. Hawkins. (2014). The Role of Radiotherapy and Chemoradiation in the Management of Primary Liver Tumours. Clinical Oncology. 26(9). 569–580. 14 indexed citations
19.
20.
Hawkins, M. & K. Aitken. (2012). Image-guided radiotherapy for esophageal cancer. Imaging in Medicine. 4(5). 515–525. 1 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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