Tak-Ming Chan
- Molecular Biology top 10%
- Cancer Research top 5%
- Artificial Intelligence top 10%
- Health Information Management top 5%
- Cardiology and Cardiovascular Medicine
- Topics
- Genomics and Chromatin Dynamics (13 papers)RNA and protein synthesis mechanisms (7 papers)Machine Learning in Healthcare (5 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Tak-Ming Chan
23 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 720
- Cancer Research 477
- Artificial Intelligence 134
- Health Information Management 59
- Cardiology and Cardiovascular Medicine 41
Countries citing papers authored by Tak-Ming Chan
This map shows the geographic impact of Tak-Ming 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 Tak-Ming Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak-Ming Chan more than expected).
Fields of papers citing papers by Tak-Ming Chan
This network shows the impact of papers produced by Tak-Ming 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 Tak-Ming Chan. The network helps show where Tak-Ming Chan may publish in the future.
Co-authorship network of co-authors of Tak-Ming Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Tak-Ming Chan. A scholar is included among the top collaborators of Tak-Ming 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 Tak-Ming Chan. Tak-Ming 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 | 7 | |
| 2 | 47 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 39 | |
| 7 | 34 | |
| 8 | 26 | |
| 9 | 23 | |
| 10 | The Landscape of MicroRNA, Piwi-Interacting RNA, and Circular RNA in Human Salivabreakdown → | 539 |
| 11 | 42 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 11 | |
| 16 | 40 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 10 | |
| 20 | 48 |
About Tak-Ming Chan
Tak-Ming Chan is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology, having authored 23 papers that have together received 955 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Cancer Research (477 citations), Health Information Management (59 citations) and Health Informatics (16 citations). Tak-Ming Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Xinshu Xiao, Jae Hoon Bahn, Xianzhi Lin, Feng Li, David T. Wong, Yong Kim, Qing Zhang, Kin-Hong Lee, Kwong‐Sak Leung and Ka‐Chun Wong. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Genome 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.