Vi Chu
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- Genomics and Phylogenetic Studies
- Plant Science top 5%
- Chromosomal and Genetic Variations
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Genomics and Phylogenetic Studies 1
- Genetics 2
- Co-authors
- John V. Moran (1 shared paper)Maria C. Marchetto (1 shared paper)Wei Deng (1 shared paper)Fred H. Gage (1 shared paper)Alysson R. Muotri (1 shared paper)Anna Marie Pyle (3 shared papers)Philip S. Perlman (2 shared papers)Mircea Podar (2 shared papers)
- Journals
- Nature (2 papers)Cancer Research (1 paper)Stem Cell Research & Therapy (1 paper)Biochemical and Biophysical Research Communications (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Vi Chu
8 papers receiving 881 citations
Vi Chu's Hit Papers
Peers
Comparison fields: 5 of 71
- Molecular Biology 787
- Plant Science 421
- Developmental Neuroscience 40
- Genetics 208
- Aging 7
Countries citing papers authored by Vi Chu
This map shows the geographic impact of Vi Chu'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 Vi Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vi Chu more than expected).
Fields of papers citing papers by Vi Chu
This network shows the impact of papers produced by Vi Chu. 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 Vi Chu. The network helps show where Vi Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Vi Chu, 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 | Somatic mosaicism in neuronal precursor cells mediated by L1 retrotransposition Hit paper breakdown → | 2005 | 683 |
| 2 | 1998 | 76 | |
| 3 | 1998 | 51 | |
| 4 | 2000 | 47 | |
| 5 | 2014 | 28 | |
| 6 | 1994 | 6 | |
| 7 | 2020 | 1 | |
| 8 | 2015 | 1 |
About Vi Chu
Vi Chu is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Plant Science, having authored 8 papers that have together received 893 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Neurobiology and Insect Physiology Research (1 paper), Genomics and Phylogenetic Studies (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Molecular Biology (787 citations), Plant Science (421 citations), Developmental Neuroscience (40 citations), Genetics (208 citations) and Aging (7 citations). Vi Chu has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John V. Moran, Maria C. Marchetto, Wei Deng, Fred H. Gage, Alysson R. Muotri, Anna Marie Pyle, Philip S. Perlman, Mircea Podar, Eckhard Jankowsky and Marc Boudvillain. Their work appears in journals such as Nature, Cancer Research, Stem Cell Research & Therapy, Biochemical and Biophysical Research Communications and Methods in enzymology on CD-ROM/Methods in enzymology.
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.