Grace E. Peng

1.9k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Grace E. Peng is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Grace E. Peng has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Plant Science. Recurrent topics in Grace E. Peng's work include Chromosomal and Genetic Variations (2 papers), Cellular transport and secretion (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Grace E. Peng is often cited by papers focused on Chromosomal and Genetic Variations (2 papers), Cellular transport and secretion (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Grace E. Peng collaborates with scholars based in United States, Spain and France. Grace E. Peng's co-authors include Nicole G. Coufal, Fred H. Gage, G Yeo, John V. Moran, José L. García-Pérez, Yangling Mu, Xiang‐Dong Fu, Tiffany Y Liang, María Morell and K. Sue O’Shea and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Grace E. Peng

7 papers receiving 1.4k citations

Hit Papers

L1 retrotransposition in human neural progenitor cells 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grace E. Peng United States 7 1.2k 480 258 168 69 7 1.4k
Wesley D. Gifford United States 9 1.7k 1.4× 390 0.8× 215 0.8× 219 1.3× 32 0.5× 9 1.9k
Thomas A. Ebersole United States 14 1.1k 0.9× 241 0.5× 296 1.1× 174 1.0× 97 1.4× 16 1.2k
Daan Noordermeer France 23 2.5k 2.0× 701 1.5× 440 1.7× 154 0.9× 136 2.0× 43 2.7k
Hiroki Kano Japan 12 1.1k 0.9× 388 0.8× 247 1.0× 55 0.3× 136 2.0× 15 1.3k
Daniel Benjamin Dadon United States 6 1.9k 1.5× 204 0.4× 404 1.6× 116 0.7× 22 0.3× 7 2.0k
Katharina Schernhuber Austria 7 1.0k 0.8× 186 0.4× 168 0.7× 87 0.5× 79 1.1× 11 1.2k
Michelle Zhou Canada 9 889 0.7× 115 0.2× 247 1.0× 119 0.7× 34 0.5× 11 1.1k
M. Katharine Rudd United States 22 1.6k 1.3× 1.1k 2.3× 1.1k 4.1× 117 0.7× 138 2.0× 35 2.2k
Ramon Y. Birnbaum Israel 17 880 0.7× 104 0.2× 305 1.2× 83 0.5× 127 1.8× 27 1.1k
Zhihai Ma United States 10 664 0.6× 250 0.5× 187 0.7× 185 1.1× 42 0.6× 11 828

Countries citing papers authored by Grace E. Peng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Grace E. Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Grace E. Peng. A scholar is included among the top collaborators of Grace E. Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grace E. Peng. Grace E. Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tsvetanova, Nikoleta G., Michelle Trester-Zedlitz, Billy W. Newton, et al.. (2021). Endosomal cAMP production broadly impacts the cellular phosphoproteome. Journal of Biological Chemistry. 297(1). 100907–100907. 35 indexed citations
2.
Peng, Grace E., Veronica Pessino, Bo Huang, & Mark von Zastrow. (2021). Spatial decoding of endosomal cAMP signals by a metastable cytoplasmic PKA network. Nature Chemical Biology. 17(5). 558–566. 26 indexed citations
3.
Park, Jason S., et al.. (2013). Actin dynamics rapidly reset chemoattractant receptor sensitivity following adaptation in neutrophils. Philosophical Transactions of the Royal Society B Biological Sciences. 368(1629). 20130008–20130008. 16 indexed citations
4.
Peng, Grace E., Sarah R. Wilson, & Orion D. Weiner. (2011). A pharmacological cocktail for arresting actin dynamics in living cells. Molecular Biology of the Cell. 22(21). 3986–3994. 68 indexed citations
5.
Coufal, Nicole G., José L. García-Pérez, Grace E. Peng, et al.. (2011). Ataxia telangiectasia mutated (ATM) modulates long interspersed element-1 (L1) retrotransposition in human neural stem cells. Proceedings of the National Academy of Sciences. 108(51). 20382–20387. 174 indexed citations
6.
Coufal, Nicole G., José L. García-Pérez, Grace E. Peng, et al.. (2009). L1 retrotransposition in human neural progenitor cells. Nature. 460(7259). 1127–1131. 620 indexed citations breakdown →
7.
Yeo, G, Nicole G. Coufal, Tiffany Y Liang, et al.. (2009). An RNA code for the FOX2 splicing regulator revealed by mapping RNA-protein interactions in stem cells. Nature Structural & Molecular Biology. 16(2). 130–137. 447 indexed citations

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.

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