Albert Cheong
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Genetics 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Chronic Lymphocytic Leukemia Research 2
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- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Stefan Hart (3 shared papers)Veronica Novotny‐Diermayr (3 shared papers)Karuna Sampath (3 shared papers)Patrick C. Gilligan (3 shared papers)Aniket V. Gore (2 shared papers)Eric S. Weinberg (1 shared paper)S. Maegawa (1 shared paper)Ramesh Jayaraman (2 shared papers)
- Journals
- Nature (2 papers)Blood Cancer Journal (2 papers)Gene (1 paper)Nucleic Acids Research (1 paper)The Prostate (1 paper)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Albert Cheong
11 papers receiving 592 citations
Peers
Comparison fields: 5 of 61
- Hematology 116
- Genetics 107
- Oncology 146
- Molecular Biology 366
- Cancer Research 56
Countries citing papers authored by Albert Cheong
This map shows the geographic impact of Albert Cheong'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 Albert Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Cheong more than expected).
Fields of papers citing papers by Albert Cheong
This network shows the impact of papers produced by Albert Cheong. 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 Albert Cheong. The network helps show where Albert Cheong may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Cheong, 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 | 2011 | 114 | |
| 2 | 2005 | 106 | |
| 3 | 2011 | 96 | |
| 4 | 2012 | 92 | |
| 5 | 2012 | 61 | |
| 6 | 2002 | 40 | |
| 7 | 2004 | 34 | |
| 8 | 2009 | 25 | |
| 9 | 2010 | 20 | |
| 10 | 2007 | 8 | |
| 11 | 2003 | 8 |
About Albert Cheong
Albert Cheong is a scholar working on Genetics, Hematology, Pulmonary and Respiratory Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 604 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Developmental Biology and Gene Regulation (2 papers), Prostate Cancer Treatment and Research (2 papers), 14-3-3 protein interactions (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Hematology (116 citations), Genetics (107 citations), Oncology (146 citations), Molecular Biology (366 citations) and Cancer Research (56 citations). Albert Cheong has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Stefan Hart, Veronica Novotny‐Diermayr, Karuna Sampath, Patrick C. Gilligan, Aniket V. Gore, Eric S. Weinberg, S. Maegawa, Ramesh Jayaraman, Kantharaj Ethirajulu and Yuxin Tan. Their work appears in journals such as Nature, Blood Cancer Journal, Gene, Nucleic Acids Research and The Prostate.
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.