Michael Vu
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Protein Structure and Dynamics
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- Nanoparticle-Based Drug Delivery
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Genomics and Phylogenetic Studies 2
- Heat shock proteins research 2
- Protein Degradation and Inhibitors 1
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- Nanoplatforms for cancer theranostics 1
- Co-authors
- Susan A. Martinis (3 shared papers)Tommie L. Lincecum (1 shared paper)S. Cusack (1 shared paper)Andrés Palencia (1 shared paper)Thibaut Crépin (1 shared paper)Michal T. Boniecki (1 shared paper)Gregory B. Gloor (2 shared papers)Jean M. Macklaim (1 shared paper)
- Journals
- Biomaterials (1 paper)Bioprinting (1 paper)Nucleic Acids Research (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Michael Vu
13 papers receiving 413 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 299
- Biomaterials 44
- Molecular Medicine 8
- Biomedical Engineering 62
- Genetics 36
Countries citing papers authored by Michael Vu
This map shows the geographic impact of Michael Vu'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 Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Vu more than expected).
Fields of papers citing papers by Michael Vu
This network shows the impact of papers produced by Michael Vu. 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 Vu. The network helps show where Michael Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Vu, 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 | 2012 | 124 | |
| 2 | 2008 | 63 | |
| 3 | 2016 | 41 | |
| 4 | 2020 | 37 | |
| 5 | 2014 | 33 | |
| 6 | 2015 | 32 | |
| 7 | 2016 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2011 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2007 | 9 | |
| 12 | 2019 | 6 | |
| 13 | 2017 | 3 |
About Michael Vu
Michael Vu is a scholar working on Molecular Biology, Biomedical Engineering, Artificial Intelligence, Automotive Engineering and Pharmacology, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Genomics and Phylogenetic Studies (2 papers), Heat shock proteins research (2 papers), Protein Degradation and Inhibitors (1 paper), Nanoplatforms for cancer theranostics (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Molecular Biology (299 citations), Biomaterials (44 citations), Molecular Medicine (8 citations), Biomedical Engineering (62 citations) and Genetics (36 citations). Michael Vu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Susan A. Martinis, Tommie L. Lincecum, S. Cusack, Andrés Palencia, Thibaut Crépin, Michal T. Boniecki, Gregory B. Gloor, Jean M. Macklaim, Andrew D. Fernandes and Kai Xiao. Their work appears in journals such as Biomaterials, Bioprinting, Nucleic Acids Research, Bioorganic & Medicinal Chemistry and Nature Structural & Molecular 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.