Brian Kwok
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Blood disorders and treatments
Papers in
-
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 2
-
- RNA modifications and cancer 3
- Co-authors
- Mohammed A. Qadir (4 shared papers)Marcel B. Bally (3 shared papers)Wieslawa H. Dragowska (2 shared papers)Sharon M. Gorski (1 shared paper)Bashar Dabbas (5 shared papers)Jeff Hall (2 shared papers)Yin Xu (3 shared papers)Rafael Bejar (1 shared paper)
- Journals
- Blood (5 papers)PLoS ONE (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Breast Cancer Research and Treatment (1 paper)Clinical Immunology (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Brian Kwok
15 papers receiving 514 citations
Peers
Comparison fields: 5 of 57
- Hematology 222
- Genetics 103
- Cancer Research 94
- Physiology 28
- Geriatrics and Gerontology 19
Countries citing papers authored by Brian Kwok
This map shows the geographic impact of Brian Kwok'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 Brian Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Kwok more than expected).
Fields of papers citing papers by Brian Kwok
This network shows the impact of papers produced by Brian Kwok. 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 Brian Kwok. The network helps show where Brian Kwok may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Kwok, 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 | 2015 | 217 | |
| 2 | 2008 | 201 | |
| 3 | 2014 | 21 | |
| 4 | 2012 | 21 | |
| 5 | 2015 | 19 | |
| 6 | 2016 | 12 | |
| 7 | 2010 | 8 | |
| 8 | 2005 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2014 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2015 | 1 |
About Brian Kwok
Brian Kwok is a scholar working on Hematology, Molecular Biology, Genetics, Epidemiology and Immunology, having authored 15 papers that have together received 522 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Immune Cell Function and Interaction (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (222 citations), Genetics (103 citations), Cancer Research (94 citations), Physiology (28 citations) and Geriatrics and Gerontology (19 citations). Brian Kwok has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Mohammed A. Qadir, Marcel B. Bally, Wieslawa H. Dragowska, Sharon M. Gorski, Bashar Dabbas, Jeff Hall, Yin Xu, Rafael Bejar, Carlos Hader and Christine Vaupel. Their work appears in journals such as Blood, PLoS ONE, Diagnostic Microbiology and Infectious Disease, Breast Cancer Research and Treatment and Clinical Immunology.
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.