Winghing Wong
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
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- Cancer Genomics and Diagnostics 6
-
- Acute Myeloid Leukemia Research 4
- Co-authors
- Rudolf Meier (4 shared papers)Todd E. Druley (8 shared papers)Andrew L. Young (2 shared papers)Jamie R. Blundell (2 shared papers)Amrita Srivathsan (1 shared paper)Daniel S. Fisher (1 shared paper)Caroline J. Watson (1 shared paper)Maosheng Foo (1 shared paper)
- Journals
- Science (2 papers)eLife (1 paper)Molecular Ecology Resources (1 paper)Science Translational Medicine (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Winghing Wong
14 papers receiving 757 citations
Winghing Wong's Hit Papers
Peers
Comparison fields: 5 of 80
- Hematology 219
- Genetics 107
- Cancer Research 127
- Ecology 222
- Insect Science 103
Countries citing papers authored by Winghing Wong
This map shows the geographic impact of Winghing 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 Winghing Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winghing Wong more than expected).
Fields of papers citing papers by Winghing Wong
This network shows the impact of papers produced by Winghing 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 Winghing Wong. The network helps show where Winghing Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Winghing 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 | The evolutionary dynamics and fitness landscape of clonal hematopoiesis Hit paper breakdown → | 2020 | 281 |
| 2 | 2015 | 139 | |
| 3 | 2016 | 93 | |
| 4 | 2014 | 60 | |
| 5 | 2020 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2019 | 33 | |
| 8 | 2023 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2013 | 14 | |
| 11 | 2021 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2017 | 4 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Winghing Wong
Winghing Wong is a scholar working on Cancer Research, Hematology, Genetics, Ecology and Molecular Biology, having authored 16 papers that have together received 767 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Acute Myeloid Leukemia Research (4 papers), Environmental DNA in Biodiversity Studies (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Genetic diversity and population structure (2 papers), Identification and Quantification in Food (2 papers), Genomics and Rare Diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (219 citations), Genetics (107 citations), Cancer Research (127 citations), Ecology (222 citations) and Insect Science (103 citations). Winghing Wong has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Rudolf Meier, Todd E. Druley, Andrew L. Young, Jamie R. Blundell, Amrita Srivathsan, Daniel S. Fisher, Caroline J. Watson, Maosheng Foo, Peter S. Cranston and Darren C. J. Yeo. Their work appears in journals such as Science, eLife, Molecular Ecology Resources, Science Translational Medicine 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.