S. J. Yeo

518 total citations
11 papers, 414 citations indexed

About

S. J. Yeo is a scholar working on Surgery, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, S. J. Yeo has authored 11 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 2 papers in Sociology and Political Science and 2 papers in Economics and Econometrics. Recurrent topics in S. J. Yeo's work include Total Knee Arthroplasty Outcomes (8 papers), Orthopaedic implants and arthroplasty (7 papers) and Orthopedic Infections and Treatments (3 papers). S. J. Yeo is often cited by papers focused on Total Knee Arthroplasty Outcomes (8 papers), Orthopaedic implants and arthroplasty (7 papers) and Orthopedic Infections and Treatments (3 papers). S. J. Yeo collaborates with scholars based in Singapore, United Kingdom and Sweden. S. J. Yeo's co-authors include K.-Y. Yang, Ngai Nung Lo, Hwei‐Chi Chong, Shi‐Lu Chia, Hee Nee Pang, Darren Keng Jin Tay, Julian Thumboo, William Yeo, Feng Xie and Kok‐Yong Fong and has published in prestigious journals such as Osteoarthritis and Cartilage, The Journal of Arthroplasty and npj Digital Medicine.

In The Last Decade

S. J. Yeo

11 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. J. Yeo Singapore 9 319 86 40 34 31 11 414
Kuang-Ying Yang Singapore 8 315 1.0× 115 1.3× 26 0.7× 42 1.2× 38 1.2× 10 439
Jose F. Guzman United States 4 291 0.9× 34 0.4× 55 1.4× 12 0.4× 9 0.3× 5 385
Zeiad Alshameeri United Kingdom 9 176 0.6× 23 0.3× 37 0.9× 11 0.3× 15 0.5× 17 297
Daniel Grits United States 12 324 1.0× 19 0.2× 27 0.7× 19 0.6× 9 0.3× 39 440
Neil Olmscheid United States 6 273 0.9× 22 0.3× 16 0.4× 74 2.2× 13 0.4× 9 337
Carlos A. Higuera United States 14 387 1.2× 25 0.3× 8 0.2× 8 0.2× 13 0.4× 28 435
Pedro J. Rullán United States 12 278 0.9× 16 0.2× 15 0.4× 14 0.4× 11 0.4× 40 387
Christian Skovgaard Nielsen Denmark 14 493 1.5× 21 0.2× 12 0.3× 8 0.2× 12 0.4× 24 562
Jeffrey G. Mokris United States 9 416 1.3× 12 0.1× 14 0.3× 7 0.2× 10 0.3× 10 452
Julian F. Maempel United Kingdom 11 346 1.1× 40 0.5× 5 0.1× 9 0.3× 13 0.4× 26 390

Countries citing papers authored by S. J. Yeo

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Yeo. 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 S. J. Yeo. The network helps show where S. J. Yeo may publish in the future.

Co-authorship network of co-authors of S. J. Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Yeo. A scholar is included among the top collaborators of S. J. Yeo 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 S. J. Yeo. S. J. Yeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Soh, Chai Rick, D. J. N. Wong, Daniel Shu Wei Ting, et al.. (2025). Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial. npj Digital Medicine. 8(1). 462–462. 1 indexed citations
2.
Ngo, Hanh, et al.. (2024). An overview of Hospital‐at‐home versus other models of care. Journal of General and Family Medicine. 26(1). 19–26. 1 indexed citations
3.
Leung, Ying Ying, Qiao Fan, Vikki Wylde, et al.. (2018). Pre-operative pressure pain thresholds do not meaningfully explain satisfaction or improvement in pain after knee replacement: a cohort study. Osteoarthritis and Cartilage. 27(1). 49–58. 13 indexed citations
4.
Xu, Sheng, Shi‐Lu Chia, Darren Keng Jin Tay, et al.. (2018). The influence of obesity on functional outcome and quality of life after total knee arthroplasty. The Bone & Joint Journal. 100-B(5). 579–583. 43 indexed citations
6.
Lo, Ngai Nung, Hwei‐Chi Chong, Hamid Rahmatullah Bin Abd Razak, et al.. (2016). The influence of body mass index on functional outcome and quality of life after total knee arthroplasty. The Bone & Joint Journal. 98-B(6). 780–785. 65 indexed citations
7.
Chen, Jerry Yongqiang, Ngai Nung Lo, Hwei‐Chi Chong, et al.. (2013). Simultaneousversusstaged bilateral unicompartmental knee replacement. The Bone & Joint Journal. 95-B(6). 788–792. 28 indexed citations
8.
Xie, Feng, Shu‐Chuen Li, Nan Luo, et al.. (2007). Comparison of the EuroQol and short form 6D in Singapore multiethnic asian knee osteoarthritis patients scheduled for total knee replacement. Arthritis Care & Research. 57(6). 1043–1049. 43 indexed citations
9.
Xie, Feng, Ewa M. Roos, Kok‐Yong Fong, et al.. (2006). Cross-cultural adaptation and validation of Singapore English and Chinese versions of the Knee injury and Osteoarthritis Outcome Score (KOOS) in Asians with knee osteoarthritis in Singapore. Osteoarthritis and Cartilage. 14(11). 1098–1103. 92 indexed citations
10.
Yang, K.-Y., et al.. (2001). Total knee arthroplasty in diabetic patients. The Journal of Arthroplasty. 16(1). 102–106. 84 indexed citations
11.
Poopalalingam, Ruban, et al.. (2000). Deep Vein Thrombosis after Total Knee Replacement. Annals of the Academy of Medicine Singapore. 29(4). 428–428. 18 indexed citations

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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