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
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- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 1
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- Cellular transport and secretion 2
- Cellular Mechanics and Interactions 2
- Co-authors
- Nicole G. Coufal (3 shared papers)Fred H. Gage (3 shared papers)G Yeo (2 shared papers)John V. Moran (2 shared papers)José L. García-Pérez (2 shared papers)Yangling Mu (2 shared papers)Tiffany Y Liang (1 shared paper)Xiang‐Dong Fu (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Nature (1 paper)Nature Chemical Biology (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Grace E. Peng
7 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 1.2k
- Plant Science 480
- Cancer Research 168
- Genetics 258
- 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 | 620 |
| 2 | 2009 | 447 | |
| 3 | 2011 | 174 | |
| 4 | 2011 | 68 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 26 | |
| 7 | 2013 | 16 |
About Grace E. Peng
Grace E. Peng is a scholar working on Molecular Biology, Cell Biology, Plant Science, Physiology and Biophysics, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Cellular transport and secretion (2 papers), Chromosomal and Genetic Variations (2 papers), Cellular Mechanics and Interactions (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cell Image Analysis Techniques (1 paper), RNA and protein synthesis mechanisms (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Plant Science (480 citations), Cancer Research (168 citations), Genetics (258 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, G Yeo, John V. Moran, José L. García-Pérez, Yangling Mu, Tiffany Y Liang, Xiang‐Dong Fu, K. Sue O’Shea and María Morell. Their work appears in journals such as Molecular Biology of the Cell, Nature, Nature Chemical Biology, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the National Academy of Sciences.
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.