Mamie Yu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Genomics and Chromatin Dynamics 2
- Circular RNAs in diseases 2
- Nuclear Structure and Function 1
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Scott R. VandenBerg (4 shared papers)John Hodgson (4 shared papers)C. David James (4 shared papers)David G. Ginzinger (4 shared papers)Joachim Silber (3 shared papers)Anders I. Persson (1 shared paper)J Costello (1 shared paper)Arturo Álvarez-Buylla (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Neuro-Oncology (2 papers)Cancer Research (2 papers)Cancer Discovery (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Mamie Yu
12 papers receiving 1.7k citations
Mamie Yu's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 1.1k
- Genetics 252
- Molecular Biology 1.3k
- Developmental Neuroscience 45
- Oncology 193
Countries citing papers authored by Mamie Yu
This map shows the geographic impact of Mamie Yu'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 Mamie Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamie Yu more than expected).
Fields of papers citing papers by Mamie Yu
This network shows the impact of papers produced by Mamie Yu. 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 Mamie Yu. The network helps show where Mamie Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mamie Yu, 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 | miR-124 and miR-137 inhibit proliferation of glioblastoma multiforme cells and induce differentiation of brain tumor stem cells Hit paper breakdown → | 2008 | 781 |
| 2 | 2007 | 295 | |
| 3 | 2010 | 185 | |
| 4 | 2015 | 143 | |
| 5 | 2009 | 113 | |
| 6 | 2012 | 56 | |
| 7 | 2019 | 54 | |
| 8 | 2020 | 37 | |
| 9 | 2015 | 30 | |
| 10 | 2003 | 11 | |
| 11 | 2006 | 8 | |
| 12 | 2018 | 1 |
About Mamie Yu
Mamie Yu is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Cell Biology, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Genomics and Chromatin Dynamics (2 papers), Circular RNAs in diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), Glioma Diagnosis and Treatment (2 papers), Cell Image Analysis Techniques (1 paper), Computational Drug Discovery Methods (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Genetics (252 citations), Molecular Biology (1.3k citations), Developmental Neuroscience (45 citations) and Oncology (193 citations). Mamie Yu has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Scott R. VandenBerg, John Hodgson, C. David James, David G. Ginzinger, Joachim Silber, Anders I. Persson, J Costello, Arturo Álvarez-Buylla, Daniel A. Lim and William A. Weiss. Their work appears in journals such as Clinical Cancer Research, Neuro-Oncology, Cancer Research, Cancer Discovery and Genes Chromosomes and Cancer.
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.