Kae Sian Tay

500 citations
36 papers · 329 indexed · h-index 10

Kae Sian Tay

32 papers receiving 323 citations

Peers

Kae Sian Tay
Comparison fields: 5 of 46
  • Orthopedics and Sports Medicine 137
  • Surgery 208
  • Pathology and Forensic Medicine 59
  • Rheumatology 28
  • Hepatology 8
Replace Suzanne S. Long with:
Suzanne S. Long United States
Jason T. Hamamoto United States
Jörn Bengt Seeger Germany
Michael S. Schallmo United States
Bailey J. Ross United States
Qaiser Shafiq United States
Nicholas Eng Meng Yeo Singapore
John D. Higgins United States
Trichy Rajagopal United Kingdom
Adam Farber United States
Kae Sian Tay relative to Suzanne S. Long United States Suzanne S. Long's profile →
Citations per field
00.5×
Suzanne S. Long · 1×
Citations per year

Countries citing papers authored by Kae Sian Tay

Since Specialization
Citations

This map shows the geographic impact of Kae Sian 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 Sian 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 Sian Tay more than expected).

Fields of papers citing papers by Kae Sian Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20245
3 20240
4 20240
5 20234
6 20231
7 20229
8 20222
9 20220
10 20213
11 20206
12 202031
13 202020
14 20206
15 20206
16 20191
17 201743
18 201530
19 201229
20 20098

About Kae Sian Tay

Kae Sian Tay is a scholar working on Orthopedics and Sports Medicine, Surgery, Rheumatology, Gastroenterology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 329 indexed citations. Recurring topics across this work include Foot and Ankle Surgery (16 papers), Tendon Structure and Treatment (14 papers), Lower Extremity Biomechanics and Pathologies (7 papers), Orthopedic Infections and Treatments (6 papers), Sports injuries and prevention (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Orthopedic Surgery and Rehabilitation (4 papers) and Orthopaedic implants and arthroplasty (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (137 citations), Surgery (208 citations), Pathology and Forensic Medicine (59 citations), Rheumatology (28 citations) and Hepatology (8 citations). Kae Sian Tay has collaborated with scholars based in Singapore, United Kingdom and Australia. Frequent co-authors include Nicholas Eng Meng Yeo, Tet Sen Howe, William Yeo, Seang Beng Tan, Andrew Hwee Chye Tan, Joyce Suang Bee Koh, Karen Zhang, Wai Mun Yue, Andrew Arjun Sayampanathan and Kevin Koo. Their work appears in journals such as Foot and Ankle Surgery, Foot & Ankle International, The Journal of Foot & Ankle Surgery, The Spine Journal and Geriatric Orthopaedic Surgery & Rehabilitation.

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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