Sue Chow
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Biochemistry top 10%
- Sulfur Compounds in Biology
Papers in
-
- Single-cell and spatial transcriptomics 4
- Cell death mechanisms and regulation 4
- Epigenetics and DNA Methylation 3
-
- Acute Myeloid Leukemia Research 9
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- David W. Hedley (28 shared papers)Harshna Patel (1 shared paper)T. Vincent Shankey (5 shared papers)Mark D. Minden (7 shared papers)Aaron D. Schimmer (9 shared papers)Helios Murialdo (2 shared papers)Robert Magari (1 shared paper)James W. Jacobberger (1 shared paper)
- Journals
- Cytometry (5 papers)Blood (5 papers)Current Protocols in Cytometry (2 papers)Cytometry Part A (2 papers)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- CanadaUnited StatesTaiwan
In The Last Decade
Sue Chow
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Hematology 149
- Biochemistry 74
- Molecular Biology 700
- Immunology 189
- Oncology 227
Countries citing papers authored by Sue Chow
This map shows the geographic impact of Sue Chow'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 Sue Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Chow more than expected).
Fields of papers citing papers by Sue Chow
This network shows the impact of papers produced by Sue Chow. 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 Sue Chow. The network helps show where Sue Chow may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 214 | |
| 2 | 2001 | 152 | |
| 3 | 2005 | 100 | |
| 4 | 1992 | 82 | |
| 5 | 2006 | 60 | |
| 6 | 2011 | 60 | |
| 7 | 2006 | 58 | |
| 8 | 2005 | 54 | |
| 9 | 2008 | 44 | |
| 10 | 1987 | 41 | |
| 11 | 2006 | 38 | |
| 12 | 1996 | 31 | |
| 13 | 1997 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2012 | 26 | |
| 16 | 1990 | 25 | |
| 17 | 1987 | 21 | |
| 18 | 1994 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2008 | 13 |
About Sue Chow
Sue Chow is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Biochemistry, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer-related Molecular Pathways (5 papers), Single-cell and spatial transcriptomics (4 papers), Sulfur Compounds in Biology (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cell death mechanisms and regulation (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Hematology (149 citations), Biochemistry (74 citations), Molecular Biology (700 citations), Immunology (189 citations) and Oncology (227 citations). Sue Chow has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include David W. Hedley, Harshna Patel, T. Vincent Shankey, Mark D. Minden, Aaron D. Schimmer, Helios Murialdo, Robert Magari, James W. Jacobberger, Elisabeth Daub and Won‐Jae Lee. Their work appears in journals such as Cytometry, Blood, Current Protocols in Cytometry, Cytometry Part A and International Journal of Gynecological Cancer.
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.