Ying Luu
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 1
- vaccines and immunoinformatics approaches 1
- Pluripotent Stem Cells Research 1
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- Galectins and Cancer Biology 2
- Co-authors
- Samuel B. Ho (4 shared papers)Anne Dell (2 shared papers)Stuart M. Haslam (2 shared papers)Jamey D. Marth (2 shared papers)Seung Ho Lee (2 shared papers)Minoru Fukuda (2 shared papers)Erica Lyn Stone (2 shared papers)Mohd Nazri Ismail (2 shared papers)
- Journals
- Glycobiology (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Cell stem cell (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ying Luu
8 papers receiving 1.2k citations
Ying Luu's Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 1.0k
- Aging 20
- Immunology 159
- Genetics 136
- Cancer Research 58
Countries citing papers authored by Ying Luu
This map shows the geographic impact of Ying 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 Ying Luu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Luu more than expected).
Fields of papers citing papers by Ying Luu
This network shows the impact of papers produced by Ying 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 Ying Luu. The network helps show where Ying Luu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 | Distinct Epigenomic Landscapes of Pluripotent and Lineage-Committed Human Cells Hit paper breakdown → | 2010 | 645 |
| 2 | 2010 | 328 | |
| 3 | 2009 | 101 | |
| 4 | 2013 | 76 | |
| 5 | 2010 | 45 | |
| 6 | 2010 | 31 | |
| 7 | 2010 | 17 | |
| 8 | 2012 | 2 |
About Ying Luu
Ying Luu is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Insect Science and Genetics, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (1 paper), Cell Adhesion Molecules Research (1 paper), vaccines and immunoinformatics approaches (1 paper), Pluripotent Stem Cells Research (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Aging (20 citations), Immunology (159 citations), Genetics (136 citations) and Cancer Research (58 citations). Ying Luu has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Samuel B. Ho, Anne Dell, Stuart M. Haslam, Jamey D. Marth, Seung Ho Lee, Minoru Fukuda, Erica Lyn Stone, Mohd Nazri Ismail, Kevin Ramirez and R. David Hawkins. Their work appears in journals such as Glycobiology, The International Journal of Biochemistry & Cell Biology, Cell stem cell, Biochimica et Biophysica Acta (BBA) - General Subjects and Molecular and Cellular Biology.
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.