Sik-Loo Tan

21 papers receiving 328 citations

Peers

Sik-Loo Tan
Comparison fields: 5 of 47
  • Orthopedics and Sports Medicine 94
  • Genetics 68
  • Rheumatology 46
  • Molecular Medicine 10
  • Biomedical Engineering 48
Replace Shengcan Li with:
Shengcan Li China
Mikihiko Morinobu Japan
Sarah L. Pownder United States
Hiroko Omi Japan
Hisatada Hiraoka Japan
Alexis C. Dang United States
Daqi Xu China
Fumitake Nakajima Japan
Tetsuya Nishikori Japan
Margaret E. Cooke United States
Sik-Loo Tan relative to Shengcan Li China Shengcan Li's profile →
Citations per field
00.5×2×4×6×8.7×
Shengcan Li · 1×
Citations per year

Countries citing papers authored by Sik-Loo Tan

Since Specialization
Citations

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

Fields of papers citing papers by Sik-Loo Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sik-Loo Tan. 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 Sik-Loo Tan. The network helps show where Sik-Loo Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201276
3 201531
4 200824
5 200924
6 202214
7 202013
8 202211
9
The NUH Memory Clinic. National University Hospital, Singapore.
199710
10 20089
11 20147
12 20205
13 20215
14 20245
15 20214
16 20203
17 20233
18
The effect of growth differentiation factor-5 (GDF-5) on the proliferation and tenogenic differentiation potential of human mesenchymal stem cells in vitro
20132
19 20162
20 20051

About Sik-Loo Tan

Sik-Loo Tan is a scholar working on Genetics, Orthopedics and Sports Medicine, Rheumatology, Rehabilitation and Clinical Psychology, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Tendon Structure and Treatment (4 papers), Grief, Bereavement, and Mental Health (3 papers), Death Anxiety and Social Exclusion (2 papers), Bone Tissue Engineering Materials (2 papers), Wound Healing and Treatments (2 papers) and Death, Funerary Practices, and Mourning (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (94 citations), Genetics (68 citations), Rheumatology (46 citations), Molecular Medicine (10 citations) and Biomedical Engineering (48 citations). Sik-Loo Tan has collaborated with scholars based in Malaysia, United Kingdom and United States. Frequent co-authors include Tunku Kamarul, Tunku Sara Ahmad, Lakshmi Selvaratnam, Azlina Amir Abbas, Azhar Mahmood Merican, Raja Elina Ahmad, Seow Hui Teo, Sofiah Sulaiman, Belinda Pingguan‐Murphy and Margaret M. Roebuck. Their work appears in journals such as OMEGA - Journal of Death and Dying, Tissue Engineering Part C Methods, Growth Factors, Cells Tissues Organs and Journal of Anatomy.

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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