Eugene Teoh

1.3k citations
28 papers · 702 indexed · h-index 12
Topics
Medical Imaging Techniques and Applications (17 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Prostate Cancer Treatment and Research (8 papers)

In The Last Decade

Eugene Teoh

27 papers receiving 694 citations

Peers

Eugene Teoh
Comparison fields: 5 of 52
  • Radiology, Nuclear Medicine and Imaging 487
  • Pulmonary and Respiratory Medicine 218
  • Biomedical Engineering 192
  • Cancer Research 99
  • Molecular Biology 96
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Citations per field
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Funmilayo Tade · 1×
Citations per year

Countries citing papers authored by Eugene Teoh

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Teoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Teoh

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Teoh. A scholar is included among the top collaborators of Eugene Teoh 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 Eugene Teoh. Eugene Teoh 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
#WorkIndexed citations
1 4
2
2
3 8
4 6
5 13
6 105
7 38
8 36
9 18
10 5
11 20
12 40
13 17
14
Decision theory and cost-benefit analysis of re-staging oesophageal cancer after neoadjuvant chemotherapy with PET-CT rather than CT
2
15 181
16 68
17 77
18
SUVmax assessment of mediastinal nodes in non-small cell lung cancer using a novel penalised likelihood PET reconstruction
1
19
Improvement Using a New Bayesian Penalised Likelihood Reconstruction (QClear) on Contrast Recovery and Background Variability in the NEMA Image Quality Phantom and Patients
1
20 7

About Eugene Teoh

Eugene Teoh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics, having authored 28 papers that have together received 702 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Prostate Cancer Treatment and Research (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (487 citations), Radiation (66 citations) and Pulmonary and Respiratory Medicine (218 citations). Eugene Teoh has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kevin M. Bradley, Fergus Gleeson, Daniel R. McGowan, Ruth E. Macpherson, Edward Black, Elizabeth Belcher, James Franklin, Nassim Parvizi, Maria Tsakok and David M. Schuster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

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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