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
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 1
- Pluripotent Stem Cells Research 1
- Genetics 2
- Animal Genetics and Reproduction 1
- Co-authors
- John V. Moran (1 shared paper)Maria C. Marchetto (1 shared paper)Fred H. Gage (1 shared paper)Wei Deng (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
- Cancer Research (2 papers)Nature (2 papers)RNA (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Vi Chu
8 papers receiving 930 citations
Vi Chu's Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 799
- Plant Science 430
- Developmental Neuroscience 42
- Genetics 213
- 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 24 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 | 719 |
| 2 | 1998 | 82 | |
| 3 | 1998 | 58 | |
| 4 | 2000 | 48 | |
| 5 | 2014 | 31 | |
| 6 | 1994 | 6 | |
| 7 | 2015 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2017 | 0 |
About Vi Chu
Vi Chu is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Oncology, having authored 9 papers that have together received 946 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Neuropeptides and Animal Physiology (1 paper), Molecular Biology Techniques and Applications (1 paper), Animal Genetics and Reproduction (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Molecular Biology (799 citations), Plant Science (430 citations), Developmental Neuroscience (42 citations), Genetics (213 citations) and Aging (7 citations). Vi Chu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include John V. Moran, Maria C. Marchetto, Fred H. Gage, Wei Deng, Alysson R. Muotri, Anna Marie Pyle, Philip S. Perlman, Mircea Podar, Eckhard Jankowsky and Min Lu. Their work appears in journals such as Cancer Research, Nature, RNA, Frontiers in Cell and Developmental Biology and Stem Cell Research & Therapy.
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.