Michael Liew
- Hematology top 10%
- Blood groups and transfusion 3
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- Molecular Biology Techniques and Applications 6
- RNA Research and Splicing 3
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- Chronic Lymphocytic Leukemia Research 2
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 2
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- Sarcoma Diagnosis and Treatment 4
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- Lymphoma Diagnosis and Treatment 4
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- CAR-T cell therapy research 2
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Carl T. WittwerElaine LyonRobert PalaisMaria EraliCindy MeadowsRobert J. PryorKarl V. VoelkerdingRobert M. Graham
- Cited by
- HematologyMolecular BiologyGenetics
- Journals
- Journal of Clinical Microbiology (2 papers)Cytometry Part B Clinical Cytometry (2 papers)Clinical Chemistry (2 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Michael Liew
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Hematology 94
- Molecular Biology 554
- Genetics 75
- Genetics 190
- Neurology 92
Countries citing papers authored by Michael Liew
This map shows the geographic impact of Michael Liew'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 Michael Liew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Liew more than expected).
Fields of papers citing papers by Michael Liew
This network shows the impact of papers produced by Michael Liew. 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 Michael Liew. The network helps show where Michael Liew may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Liew, 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 | 2019 | 20 | |
| 2 | 2019 | 4 | |
| 3 | 2018 | 3 | |
| 4 | 2016 | 12 | |
| 5 | 2015 | 8 | |
| 6 | 2015 | 4 | |
| 7 | 2015 | 3 | |
| 8 | 2014 | 17 | |
| 9 | 2007 | 69 | |
| 10 | 2007 | 1 | |
| 11 | 2007 | 45 | |
| 12 | 2007 | 50 | |
| 13 | 2006 | 46 | |
| 14 | 2005 | 91 | |
| 15 | 2005 | 96 | |
| 16 | 2004 | 12 | |
| 17 | 2004 | 27 | |
| 18 | 2003 | 84 | |
| 19 | 2002 | 8 | |
| 20 | 2000 | 2 |
About Michael Liew
Michael Liew is a scholar working on Hematology, Pathology and Forensic Medicine and Genetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (6 papers), Sarcoma Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Blood groups and transfusion (3 papers), RNA Research and Splicing (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hematology (94 citations), Molecular Biology (554 citations) and Genetics (75 citations). Michael Liew has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Carl T. Wittwer, Elaine Lyon, Robert Palais, Maria Erali, Cindy Meadows, Robert J. Pryor, Karl V. Voelkerding, Robert M. Graham, Sherrie L. Perkins and Rebecca L. Margraf. Their work appears in journals such as Journal of Clinical Microbiology, Cytometry Part B Clinical Cytometry, Clinical Chemistry, American Journal of Clinical Pathology and Journal of Molecular Diagnostics.
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.