Stephane Wong
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 14
- Chronic Myeloid Leukemia Treatments 14
- Multiple Myeloma Research and Treatments 2
- Acute Myeloid Leukemia Research 2
- Genetics 10
- Chronic Lymphocytic Leukemia Research 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Owen N. Witte (8 shared papers)Naomi Rosenberg (2 shared papers)Jami McLaughlin (3 shared papers)John Colicelli (2 shared papers)Donghui Cheng (2 shared papers)Michael G. Kharas (1 shared paper)Jonathan A. Deane (1 shared paper)Daniel Afar (1 shared paper)
- Journals
- Blood (5 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Cell (1 paper)Annual Review of Immunology (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Stephane Wong
15 papers receiving 780 citations
Peers
Comparison fields: 5 of 62
- Hematology 495
- Genetics 339
- Rheumatology 179
- Oncology 139
- Molecular Biology 349
Countries citing papers authored by Stephane Wong
This map shows the geographic impact of Stephane Wong'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 Stephane Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephane Wong more than expected).
Fields of papers citing papers by Stephane Wong
This network shows the impact of papers produced by Stephane Wong. 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 Stephane Wong. The network helps show where Stephane Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephane Wong, 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 | 2004 | 294 | |
| 2 | 2018 | 95 | |
| 3 | 2004 | 73 | |
| 4 | 1997 | 67 | |
| 5 | 2001 | 53 | |
| 6 | 2012 | 42 | |
| 7 | 2002 | 37 | |
| 8 | 2011 | 37 | |
| 9 | 2000 | 37 | |
| 10 | 2003 | 34 | |
| 11 | 2003 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2003 | 9 | |
| 14 | 2015 | 2 | |
| 15 | 2012 | 1 |
About Stephane Wong
Stephane Wong is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Rheumatology, having authored 15 papers that have together received 802 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Eosinophilic Disorders and Syndromes (3 papers), CAR-T cell therapy research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (495 citations), Genetics (339 citations), Rheumatology (179 citations), Oncology (139 citations) and Molecular Biology (349 citations). Stephane Wong has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Owen N. Witte, Naomi Rosenberg, Jami McLaughlin, John Colicelli, Donghui Cheng, Michael G. Kharas, Jonathan A. Deane, Daniel Afar, Limin Han and Kalindi Parmar. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Cancer Cell, Annual Review of Immunology and Annals of Internal Medicine.
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.