Kae Jack Tay

2.1k citations
100 papers · 1.2k indexed · 1 hit paper · h-index 18

Kae Jack Tay

94 papers receiving 1.1k citations

Hit Papers

Head-to-head Comparison of the Diagnostic Accuracy of Pro...852023202620242025255075

Peers

Kae Jack Tay
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 956
  • Rheumatology 288
  • Urology 75
  • Radiology, Nuclear Medicine and Imaging 207
  • Cancer Research 97
Replace Abhinav Sidana with:
Abhinav Sidana United States
Simpa S. Salami United States
Cristian Udovicich Australia
David Josephson United States
Leonard P. Bokhorst Netherlands
Ganesh Bakshi India
Izak Faiena United States
Tineke Wolters Netherlands
Damian Greene United Kingdom
Mufaddal Mamawala United States
Kae Jack Tay relative to Abhinav Sidana United States Abhinav Sidana's profile →
Citations per field
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Abhinav Sidana · 1×
Citations per year

Countries citing papers authored by Kae Jack Tay

Since Specialization
Citations

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

Fields of papers citing papers by Kae Jack Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kae Jack Tay. 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 Kae Jack Tay. The network helps show where Kae Jack Tay may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3
Head-to-head Comparison of the Diagnostic Accuracy of Prostate-specific Membrane Antigen Positron Emission Tomography and Conventional Imaging Modalities for Initial Staging of Intermediate- to High-risk Prostate Cancer: A Systematic Review and Meta-analysisbreakdown →
202385
4 20234
5 20231
6 20239
7 20231
8 202220
9 202119
10 20211
11 20201
12 202011
13 20195
14 20191
15 201913
16 20182
17 201861
18 20179
19 201729
20 20161

About Kae Jack Tay

Kae Jack Tay is a scholar working on Pulmonary and Respiratory Medicine, Urology and Rheumatology, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (72 papers), Prostate Cancer Treatment and Research (67 papers), Urologic and reproductive health conditions (24 papers), Bladder and Urothelial Cancer Treatments (20 papers), MRI in cancer diagnosis (8 papers), Urological Disorders and Treatments (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (956 citations), Rheumatology (288 citations) and Urology (75 citations). Kae Jack Tay has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Thomas J. Polascik, Judd W. Moul, Rajan T. Gupta, Kenneth Chen, Rachel Kloss Silverman, Sun‐Kuie Tay, J. Stephen Jones, Christopher Cheng, Alvin Lee and Ariel Schulman. Their work appears in journals such as Urologic Oncology Seminars and Original Investigations, British Journal of Urology, Journal of Endourology, International Journal of Urology and Prostate Cancer and Prostatic Diseases.

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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