Clement T. Y. Chan
- Molecular Biology top 5%
- Cancer Research top 10%
- Genetics top 10%
- Molecular Medicine top 2%
- Oncology
- Co-authors
- Peter C. DedonThomas J. BegleyJames J. CollinsMadhu DyavaiahJeong Wook LeeI. Ramesh BabuMichael S. DeMottKoli Taghizadeh
- Topics
- RNA modifications and cancer (12 papers)RNA and protein synthesis mechanisms (11 papers)CRISPR and Genetic Engineering (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesSingaporeSouth Korea
In The Last Decade
Clement T. Y. Chan
29 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.3k
- Cancer Research 294
- Genetics 289
- Molecular Medicine 253
- Oncology 229
Countries citing papers authored by Clement T. Y. Chan
This map shows the geographic impact of Clement T. Y. Chan'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 Clement T. Y. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clement T. Y. Chan more than expected).
Fields of papers citing papers by Clement T. Y. Chan
This network shows the impact of papers produced by Clement T. Y. Chan. 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 Clement T. Y. Chan. The network helps show where Clement T. Y. Chan may publish in the future.
Co-authorship network of co-authors of Clement T. Y. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Clement T. Y. Chan. A scholar is included among the top collaborators of Clement T. Y. Chan 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 Clement T. Y. Chan. Clement T. Y. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 42 | |
| 7 | 15 | |
| 8 | 21 | |
| 9 | 191 | |
| 10 | 263 | |
| 11 | Antibiotics induce redox-related physiological alterations as part of their lethalitybreakdown → | 695 |
| 12 | Quantitative analysis of tRNA modifications by HPLC-coupled mass spectrometry | 1 |
| 13 | 218 | |
| 14 | 20 | |
| 15 | 83 | |
| 16 | 336 | |
| 17 | 1 | |
| 18 | 363 | |
| 19 | 175 | |
| 20 | 123 |
About Clement T. Y. Chan
Clement T. Y. Chan is a scholar working on Molecular Biology, Biotechnology and Pharmacology, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (11 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Molecular Medicine (253 citations), Molecular Biology (2.3k citations) and Cancer Research (294 citations). Clement T. Y. Chan has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Peter C. Dedon, Thomas J. Begley, James J. Collins, Madhu Dyavaiah, Jeong Wook Lee, I. Ramesh Babu, Michael S. DeMott, Koli Taghizadeh, Wenjun Deng and D. Ewen Cameron. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.