Chong Boon Teo

1.3k total citations · 1 hit paper
26 papers, 780 citations indexed

About

Chong Boon Teo is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Chong Boon Teo has authored 26 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Chong Boon Teo's work include Cancer Immunotherapy and Biomarkers (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer Treatment and Pharmacology (3 papers). Chong Boon Teo is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer Treatment and Pharmacology (3 papers). Chong Boon Teo collaborates with scholars based in Singapore, Australia and Germany. Chong Boon Teo's co-authors include Benjamin Kye Jyn Tan, Raghav Sundar, Yiong Huak Chan, Yu Yang Soon, Soo Chin Lee, Sen Hee Tay, Ainsley Ryan Yan Bin Lee, Mark Muthiah, Shi Yin Wong and Louis Yi Ann Chai and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Chong Boon Teo

21 papers receiving 776 citations

Hit Papers

Efficacy of covid-19 vaccines in immunocompromised patien... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Chong Boon Teo
Comparison fields: 5 of 91
  • Infectious Diseases 361
  • Oncology 234
  • Pulmonary and Respiratory Medicine 177
  • Surgery 125
  • Neurology 106
Maria Prendecki United Kingdom
Ziying Lei China
Yaacov Goykhman Israel
Douglas Tremblay United States
Wegene Borena Austria
Roni Baruch Israel
Junli Fan China
Wenxiong Xu China
Kathrin Hauptmann Germany
Maria Prendecki United Kingdom View profile →
Citations per field, relative to Chong Boon Teo
Chong Boon Teo · 1×
Citations per year, relative to Chong Boon Teo
Chong Boon Teo · 1×

Countries citing papers authored by Chong Boon Teo

Since Specialization
Citations

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

Fields of papers citing papers by Chong Boon Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Boon Teo

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Boon Teo. A scholar is included among the top collaborators of Chong Boon Teo 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 Chong Boon Teo. Chong Boon Teo 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
# Work Indexed citations
1 4
2 0
3 0
4 3
5 1
6 1
7 12
8 9
9 10
10 67
11 13
12 4
13 16
14 18
15 4
16
Efficacy of covid-19 vaccines in immunocompromised patients: systematic review and meta-analysis breakdown →
284
17 21
18 112
19 25
20 39

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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