Ken To
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Rheumatology 10
- Osteoarthritis Treatment and Mechanisms 9
- Genetics 5
- Mesenchymal stem cell research 4
- Co-authors
- Wasim Sardar Khan (22 shared papers)Nikhil Agarwal (4 shared papers)Stephen McDonnell (1 shared paper)Vivek V. Sharma (1 shared paper)Rhidian Morgan‐Jones (1 shared paper)Angelos Assiotis (2 shared papers)Ioannis P. Pengas (2 shared papers)Matthew K.T. Seah (2 shared papers)
- Journals
- Nature (4 papers)Frontiers in Bioengineering and Biotechnology (2 papers)European Journal of Orthopaedic Surgery & Traumatology (2 papers)International Journal of Obesity (1 paper)International Journal of Clinical Practice (1 paper)
- Partner nations
- United KingdomAustraliaHong Kong
In The Last Decade
Ken To
28 papers receiving 823 citations
Peers
Comparison fields: 5 of 84
- Rheumatology 149
- Genetics 94
- Surgery 320
- Urology 33
- Rehabilitation 30
Countries citing papers authored by Ken To
This map shows the geographic impact of Ken To'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 Ken To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken To more than expected).
Fields of papers citing papers by Ken To
This network shows the impact of papers produced by Ken To. 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 Ken To. The network helps show where Ken To may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken To, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2022 | 62 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 54 | |
| 5 | 2019 | 52 | |
| 6 | 2024 | 49 | |
| 7 | 2024 | 48 | |
| 8 | 2020 | 47 | |
| 9 | 2021 | 45 | |
| 10 | 2024 | 37 | |
| 11 | 2019 | 36 | |
| 12 | 2025 | 29 | |
| 13 | 2020 | 25 | |
| 14 | 2020 | 22 | |
| 15 | 2020 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2020 | 13 |
About Ken To
Ken To is a scholar working on Rheumatology, Genetics, Surgery, Rehabilitation and Orthopedics and Sports Medicine, having authored 31 papers that have together received 835 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (9 papers), Total Knee Arthroplasty Outcomes (5 papers), Single-cell and spatial transcriptomics (4 papers), Mesenchymal stem cell research (4 papers), Orthopaedic implants and arthroplasty (3 papers), Bone and Joint Diseases (2 papers), Orthopedic Infections and Treatments (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Rheumatology (149 citations), Genetics (94 citations), Surgery (320 citations), Urology (33 citations) and Rehabilitation (30 citations). Ken To has collaborated with scholars based in United Kingdom, Australia and Hong Kong. Frequent co-authors include Wasim Sardar Khan, Nikhil Agarwal, Stephen McDonnell, Vivek V. Sharma, Rhidian Morgan‐Jones, Angelos Assiotis, Ioannis P. Pengas, Matthew K.T. Seah, Charles M. Malata and FRANCES M. D. HENSON. Their work appears in journals such as Nature, Frontiers in Bioengineering and Biotechnology, European Journal of Orthopaedic Surgery & Traumatology, International Journal of Obesity and International Journal of Clinical Practice.
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.