Steven M. Chan
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 55
- Acute Myeloid Leukemia Research 50
- Chronic Myeloid Leukemia Treatments 14
- Genetics 15
- Myeloproliferative Neoplasms: Diagnosis and Treatment 10
- Co-authors
- Ravindra MajetiPaul J. UtzM. Ryan CorcesBruno C. MedeirosScott V. BratmanDavid W. CesconLillian L. SiuDanièl Thomas
- Journals
- Blood (32 papers)Leukemia (4 papers)Nature Medicine (2 papers)British Journal of Haematology (2 papers)Nature Communications (2 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Steven M. Chan
83 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hematology 1.4k
- Cancer Research 840
- Genetics 376
- Molecular Biology 2.4k
- Immunology 558
Countries citing papers authored by Steven M. Chan
This map shows the geographic impact of Steven M. 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 Steven M. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Chan more than expected).
Fields of papers citing papers by Steven M. Chan
This network shows the impact of papers produced by Steven M. 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 Steven M. Chan. The network helps show where Steven M. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven M. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 2 | |
| 10 | Circulating tumor DNA and liquid biopsy in oncology Hit paper breakdown → | 2020 | 382 |
| 11 | 2019 | 60 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 89 | |
| 14 | 2017 | 2 | |
| 15 | 2014 | 11 | |
| 16 | 2013 | 28 | |
| 17 | 2006 | 5 | |
| 18 | 2005 | 72 | |
| 19 | 2004 | 159 | |
| 20 | 2004 | 55 |
About Steven M. Chan
Steven M. Chan is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 94 papers that have together received 3.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (50 papers), Acute Lymphoblastic Leukemia research (19 papers), Chronic Myeloid Leukemia Treatments (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Cancer Genomics and Diagnostics (10 papers), Epigenetics and DNA Methylation (10 papers), Protein Degradation and Inhibitors (8 papers) and Histone Deacetylase Inhibitors Research (8 papers). The work is most often cited by research in Hematology (1.4k citations), Cancer Research (840 citations), Genetics (376 citations), Molecular Biology (2.4k citations) and Immunology (558 citations). Steven M. Chan has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Ravindra Majeti, Paul J. Utz, M. Ryan Corces, Bruno C. Medeiros, Scott V. Bratman, David W. Cescon, Lillian L. Siu, Danièl Thomas, Julie L. Koenig and Jason D. Buenrostro. Their work appears in journals such as Blood, Leukemia, Nature Medicine, British Journal of Haematology and Nature Communications.
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.