Hui Ting Ong
- Cell Biology top 5%
- Biomedical Engineering
- Molecular Biology
- Oncology
- Aging top 5%
- Co-authors
- Yusuke ToyamaRonen Zaidel‐BarAndrea RavasioBenoît LadouxAnup PadmanabhanTianchi ChenAgustí BruguésXavier Trepat
- Topics
- Cellular Mechanics and Interactions (14 papers)3D Printing in Biomedical Research (7 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)
- Cited by
- AgingCell BiologyBiophysics
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Cell Biology
- Partner nations
- SingaporeUnited StatesFrance
In The Last Decade
Hui Ting Ong
25 papers receiving 607 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 388
- Biomedical Engineering 236
- Molecular Biology 191
- Oncology 61
- Aging 56
Countries citing papers authored by Hui Ting Ong
This map shows the geographic impact of Hui Ting Ong'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 Hui Ting Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ting Ong more than expected).
Fields of papers citing papers by Hui Ting Ong
This network shows the impact of papers produced by Hui Ting Ong. 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 Hui Ting Ong. The network helps show where Hui Ting Ong may publish in the future.
Co-authorship network of co-authors of Hui Ting Ong
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Ting Ong. A scholar is included among the top collaborators of Hui Ting Ong 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 Hui Ting Ong. Hui Ting Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 23 | |
| 5 | Genetically engineered human umbilical cord-derived mesenchymal stem cells expressing human interleukin-12 and in vitro growth inhibition against lung adenocarcinoma cells. | 1 |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 75 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 69 | |
| 15 | 61 | |
| 16 | 32 | |
| 17 | 31 | |
| 18 | 115 | |
| 19 | 46 | |
| 20 | 3 |
About Hui Ting Ong
Hui Ting Ong is a scholar working on Aging, Cell Biology and Biophysics, having authored 25 papers that have together received 610 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (14 papers), 3D Printing in Biomedical Research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (56 citations), Cell Biology (388 citations) and Biophysics (50 citations). Hui Ting Ong has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include Yusuke Toyama, Ronen Zaidel‐Bar, Andrea Ravasio, Benoît Ladoux, Anup Padmanabhan, Tianchi Chen, Agustí Brugués, Xavier Trepat, Cristina Bertocchi and Nir S. Gov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.
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.