Phuc‐Loi Luu
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Cancer-related gene regulation
- Histone Deacetylase Inhibitors Research
- RNA Research and Splicing
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- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 4
- Pluripotent Stem Cells Research 2
- RNA Research and Splicing 2
- Genetics 3
- Co-authors
- Susan J. Clark (13 shared papers)Clare Stirzaker (9 shared papers)Qian Du (5 shared papers)Shalima S. Nair (5 shared papers)Cathryn M. Gould (4 shared papers)Elena Zotenko (2 shared papers)Wenjia Qu (5 shared papers)Hans R. Schöler (3 shared papers)
- Journals
- Clinical Epigenetics (3 papers)Nature Communications (3 papers)Bioinformatics (2 papers)Epigenetics & Chromatin (2 papers)Epigenomics (2 papers)
- Partner nations
- AustraliaVietnamUnited States
In The Last Decade
Phuc‐Loi Luu
18 papers receiving 861 citations
Phuc‐Loi Luu's Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 694
- Cancer Research 123
- Genetics 154
- Virology 9
- Immunology 38
Countries citing papers authored by Phuc‐Loi Luu
This map shows the geographic impact of Phuc‐Loi Luu'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 Phuc‐Loi Luu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phuc‐Loi Luu more than expected).
Fields of papers citing papers by Phuc‐Loi Luu
This network shows the impact of papers produced by Phuc‐Loi Luu. 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 Phuc‐Loi Luu. The network helps show where Phuc‐Loi Luu may publish in the future.
Co-authors
The 25 scholars most cited alongside Phuc‐Loi Luu, 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 | Methyl-CpG-Binding Domain Proteins: Readers of the Epigenome Hit paper breakdown → | 2015 | 380 |
| 2 | 2020 | 101 | |
| 3 | 2017 | 66 | |
| 4 | 2020 | 65 | |
| 5 | 2019 | 64 | |
| 6 | 2018 | 35 | |
| 7 | 2013 | 29 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2016 | 13 | |
| 13 | 2020 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2025 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 0 | |
| 20 | 2026 | 0 |
About Phuc‐Loi Luu
Phuc‐Loi Luu is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Hematology and Cancer Research, having authored 20 papers that have together received 868 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (4 papers), Acute Myeloid Leukemia Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Antifungal resistance and susceptibility (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Research and Splicing (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Molecular Biology (694 citations), Cancer Research (123 citations), Genetics (154 citations), Virology (9 citations) and Immunology (38 citations). Phuc‐Loi Luu has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include Susan J. Clark, Clare Stirzaker, Qian Du, Shalima S. Nair, Cathryn M. Gould, Elena Zotenko, Wenjia Qu, Hans R. Schöler, Marcos J. Araúzo‐Bravo and Joanna Achinger-Kawecka. Their work appears in journals such as Clinical Epigenetics, Nature Communications, Bioinformatics, Epigenetics & Chromatin and Epigenomics.
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.