Boon-Keng Kevin Teo

1.1k citations
16 papers · 883 indexed · h-index 13

Boon-Keng Kevin Teo

16 papers receiving 868 citations

Peers

Boon-Keng Kevin Teo
Comparison fields: 5 of 100
  • Radiation 580
  • Radiology, Nuclear Medicine and Imaging 430
  • Pulmonary and Respiratory Medicine 512
  • Obstetrics and Gynecology 61
  • Genetics 47
Replace Yuichi Akino with:
Yuichi Akino Japan
Anne Vestergaard Denmark
L.B. Hysing Norway
Matthew B. Podgorsak United States
C.F. Behrens Denmark
Ellen M. Kerkhof Netherlands
Sasha H. Wahab United States
Valeria Casanova Borca Italy
Dongho Shin South Korea
Youngyih Han South Korea
Boon-Keng Kevin Teo relative to Yuichi Akino Japan Yuichi Akino's profile →
Citations per field
00.5×1.5×
Yuichi Akino · 1×
Citations per year

Countries citing papers authored by Boon-Keng Kevin Teo

Since Specialization
Citations

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

Fields of papers citing papers by Boon-Keng Kevin Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boon-Keng Kevin Teo. 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 Boon-Keng Kevin Teo. The network helps show where Boon-Keng Kevin Teo may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201978
2 201912
3 20184
4 2017129
5 201753
6 2016173
7 20163
8 201536
9 201535
10 201516
11 201323
12 201314
13 201338
14 201289
15 201142
16 2007138

About Boon-Keng Kevin Teo

Boon-Keng Kevin Teo is a scholar working on Radiation, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 883 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers), Medical Imaging Techniques and Applications (7 papers), Radiation Therapy and Dosimetry (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Radiation (580 citations), Radiology, Nuclear Medicine and Imaging (430 citations) and Pulmonary and Respiratory Medicine (512 citations). Boon-Keng Kevin Teo has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Lilie L. Lin, Charles B. Simone, Timothy D. Solberg, James E. McDonough, Ramesh Rengan, Lingshu Yin, Lucian Hotoiu, Guillaume Janssens, James M. Metz and Liyong Lin. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Practical Radiation Oncology, Frontiers in Oncology and Medical Physics.

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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