K. Aitken

1.1k citations
35 papers · 581 · h-index 13

Impact in

  • Radiation top 2%
    • Advanced Radiotherapy Techniques
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

K. Aitken

29 papers receiving 577 citations

Peers

K. Aitken
Comparison fields: 5 of 51
  • Radiation 288
  • Hepatology 87
  • Radiology, Nuclear Medicine and Imaging 233
  • Pulmonary and Respiratory Medicine 303
  • Oncology 190
Replace Kimberly M. Creach with:
Kimberly M. Creach United States
Gaia Piperno Italy
Athanasios Colonias United States
Darby Erler Canada
Wolfgang W. Baus Germany
Shintaro Shiba Japan
Brandon M. Barney United States
Tamara LaCouture United States
I. Fumagalli France
A. Miyakawa Japan
K. Aitken relative to Kimberly M. Creach United States Kimberly M. Creach's profile →
Citations per field
00.5×3.2×
Kimberly M. Creach · 1×
Citations per year

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-authors

The 25 scholars most cited alongside K. Aitken, 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 K. Aitken Line = papers co-authored together K. Aitken links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017170
2 202047
3 201546
4 202041
5 201641
6 201234
7 201530
8 202129
9 199429
10 202017
11 201414
12 201714
13 201612
14 202110
15 20148
16 20197
17 20225
18 20225
19 20204
20 20224

About K. Aitken

K. Aitken is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 35 papers that have together received 581 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (16 papers), Pancreatic and Hepatic Oncology Research (8 papers), Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Colorectal and Anal Carcinomas (4 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Radiation (288 citations), Hepatology (87 citations), Radiology, Nuclear Medicine and Imaging (233 citations), Pulmonary and Respiratory Medicine (303 citations) and Oncology (190 citations). K. Aitken has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include M. Hawkins, Gerard G. Hanna, Vincent Khoo, Merina Ahmed, Alison Tree, William A. Hall, Bradley A. Erickson, Eugene J. Koay, Stephen Harrow and David Landau. Their work appears in journals such as Clinical Oncology, Practical Radiation Oncology, International Journal of Radiation Oncology*Biology*Physics, British Journal of Cancer and Radiotherapy and Oncology.

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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