Grace E. Peng
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- Plant Science top 5%
- Chromosomal and Genetic Variations
Papers in
-
- Cellular Mechanics and Interactions 2
- Cellular transport and secretion 2
- Co-authors
- Nicole G. Coufal (3 shared papers)Fred H. Gage (3 shared papers)Gene Wei-Ming Yeo (2 shared papers)John V. Moran (2 shared papers)Yangling Mu (2 shared papers)Jose Luis Garcia-Perez (2 shared papers)Tiffany Y Liang (1 shared paper)Xiang‐Dong Fu (1 shared paper)
- Journals
- Nature Structural & Molecular Biology (1 paper)Nature (1 paper)Nature Chemical Biology (1 paper)Journal of Biological Chemistry (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Grace E. Peng
7 papers receiving 1.5k citations
Grace E. Peng's Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.2k
- Plant Science 501
- Cancer Research 166
- Genetics 272
- Aging 14
Countries citing papers authored by Grace E. Peng
This map shows the geographic impact of Grace E. Peng'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 Grace E. Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace E. Peng more than expected).
Fields of papers citing papers by Grace E. Peng
This network shows the impact of papers produced by Grace E. Peng. 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 Grace E. Peng. The network helps show where Grace E. Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace E. Peng, 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 | L1 retrotransposition in human neural progenitor cells Hit paper breakdown → | 2009 | 677 |
| 2 | 2009 | 464 | |
| 3 | 2011 | 190 | |
| 4 | 2011 | 70 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 32 | |
| 7 | 2013 | 16 |
About Grace E. Peng
Grace E. Peng is a scholar working on Cell Biology, Physiology, Immunology and Allergy, Biophysics and Molecular Biology, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (2 papers), Cellular Mechanics and Interactions (2 papers), Cellular transport and secretion (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), CRISPR and Genetic Engineering (1 paper), Cell Adhesion Molecules Research (1 paper), RNA modifications and cancer (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Plant Science (501 citations), Cancer Research (166 citations), Genetics (272 citations) and Aging (14 citations). Grace E. Peng has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Nicole G. Coufal, Fred H. Gage, Gene Wei-Ming Yeo, John V. Moran, Yangling Mu, Jose Luis Garcia-Perez, Tiffany Y Liang, Xiang‐Dong Fu, K. Sue O’Shea and Maria H. Morell. Their work appears in journals such as Nature Structural & Molecular Biology, Nature, Nature Chemical Biology, Journal of Biological Chemistry and Molecular Biology of the Cell.
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.