Michelle Chan‐Seng‐Yue
- Molecular Biology
- Cancer Research top 10%
- Hematology top 10%
- Oncology
- Immunology
- Co-authors
- Paul C. BoutrosJohn E. DickAndy G.X. ZengMark D. MindenClaude PreudhommeJan Willem VonckenBradly G. WoutersAmanda Mitchell
- Topics
- Cancer Genomics and Diagnostics (6 papers)Epigenetics and DNA Methylation (4 papers)Hematopoietic Stem Cell Transplantation (4 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaBlood
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Michelle Chan‐Seng‐Yue
16 papers receiving 431 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Biology 262
- Cancer Research 167
- Hematology 128
- Oncology 102
- Immunology 76
Countries citing papers authored by Michelle Chan‐Seng‐Yue
This map shows the geographic impact of Michelle Chan‐Seng‐Yue'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 Michelle Chan‐Seng‐Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Chan‐Seng‐Yue more than expected).
Fields of papers citing papers by Michelle Chan‐Seng‐Yue
This network shows the impact of papers produced by Michelle Chan‐Seng‐Yue. 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 Michelle Chan‐Seng‐Yue. The network helps show where Michelle Chan‐Seng‐Yue may publish in the future.
Co-authorship network of co-authors of Michelle Chan‐Seng‐Yue
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Chan‐Seng‐Yue. A scholar is included among the top collaborators of Michelle Chan‐Seng‐Yue 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 Michelle Chan‐Seng‐Yue. Michelle Chan‐Seng‐Yue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemiabreakdown → | 150 |
| 3 | 7 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 62 | |
| 10 | 10 | |
| 11 | 34 | |
| 12 | 8 | |
| 13 | 25 | |
| 14 | 54 | |
| 15 | 5 | |
| 16 | 29 |
About Michelle Chan‐Seng‐Yue
Michelle Chan‐Seng‐Yue is a scholar working on Cancer Research, Hematology and Otorhinolaryngology, having authored 16 papers that have together received 434 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Epigenetics and DNA Methylation (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Hematology (128 citations), Cancer Research (167 citations) and Molecular Biology (262 citations). Michelle Chan‐Seng‐Yue has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Paul C. Boutros, John E. Dick, Andy G.X. Zeng, Mark D. Minden, Claude Preudhomme, Jan Willem Voncken, Bradly G. Wouters, Amanda Mitchell, Twan van den Beucken and Chris T. Evelo. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.
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.