Johnson M. Liu
- Hematology top 1%
- Acute Myeloid Leukemia Research 9
- Molecular Biology top 5%
- DNA Repair Mechanisms 16
- RNA modifications and cancer 10
- Retinoids in leukemia and cellular processes 7
- Epigenetics and DNA Methylation 6
- Cancer-related gene regulation 5
- Genetics top 5%
- Blood disorders and treatments 10
- Genetics top 5%
- Blood disorders and treatments 10
- Cancer Research top 10%
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- Immunodeficiency and Autoimmune Disorders 6
- Co-authors
- Jianxiang WangRobert L. RednerTaizo HoshinoSachiko KajigayaSteven R. EllisMakoto FutakiYogen SaunthararajahNeal S. Young
- Cited by
- HematologyMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Cell Biology (1 paper)Blood (17 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Johnson M. Liu
58 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 89
- Hematology 762
- Molecular Biology 1.9k
- Genetics 558
- Genetics 177
- Cancer Research 243
Countries citing papers authored by Johnson M. Liu
This map shows the geographic impact of Johnson M. Liu'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 Johnson M. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson M. Liu more than expected).
Fields of papers citing papers by Johnson M. Liu
This network shows the impact of papers produced by Johnson M. Liu. 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 Johnson M. Liu. The network helps show where Johnson M. Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johnson M. Liu, 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 | 2018 | 9 | |
| 2 | 2014 | 33 | |
| 3 | 2011 | 35 | |
| 4 | 2010 | 34 | |
| 5 | 2008 | 297 | |
| 6 | 2008 | 9 | |
| 7 | Antibody-dependent cell cytotoxicity to breast cancer targets despite inhibitory KIR signaling. | 2006 | 12 |
| 8 | 2004 | 12 | |
| 9 | 2003 | 3 | |
| 10 | 2003 | 4 | |
| 11 | 2003 | 15 | |
| 12 | 2002 | 8 | |
| 13 | 2002 | 13 | |
| 14 | 2002 | 19 | |
| 15 | 2001 | 19 | |
| 16 | Inhibitors of histone deacetylase relieve ETO-mediated repression and induce differentiation of AML1-ETO leukemia cells. | 1999 | 169 |
| 17 | 1999 | 54 | |
| 18 | 1998 | 8 | |
| 19 | 1993 | 12 | |
| 20 | 1991 | 14 |
About Johnson M. Liu
Johnson M. Liu is a scholar working on Hematology, Genetics and Molecular Biology, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (16 papers), Blood disorders and treatments (10 papers), RNA modifications and cancer (10 papers), Acute Myeloid Leukemia Research (9 papers), Retinoids in leukemia and cellular processes (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Epigenetics and DNA Methylation (6 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Hematology (762 citations), Molecular Biology (1.9k citations) and Genetics (558 citations). Johnson M. Liu has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jianxiang Wang, Robert L. Redner, Taizo Hoshino, Sachiko Kajigaya, Steven R. Ellis, Makoto Futaki, Yogen Saunthararajah, Neal S. Young, Hagop Youssoufian and Akiko Shimamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology 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.