Samie R. Jaffrey

43.9k total citations · 19 hit papers
180 papers, 32.6k citations indexed

About

Samie R. Jaffrey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Samie R. Jaffrey has authored 180 papers receiving a total of 32.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 24 papers in Cellular and Molecular Neuroscience and 23 papers in Cancer Research. Recurrent topics in Samie R. Jaffrey's work include RNA modifications and cancer (80 papers), RNA and protein synthesis mechanisms (57 papers) and RNA Research and Splicing (52 papers). Samie R. Jaffrey is often cited by papers focused on RNA modifications and cancer (80 papers), RNA and protein synthesis mechanisms (57 papers) and RNA Research and Splicing (52 papers). Samie R. Jaffrey collaborates with scholars based in United States, China and Germany. Samie R. Jaffrey's co-authors include Kate D. Meyer, Solomon H. Snyder, Sara Zaccara, Christopher E. Mason, Olivier Elemento, Deepak P. Patil, Yogesh Saletore, Jeremy S. Paige, Ryan J. Ries and Brian F. Pickering and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Samie R. Jaffrey

176 papers receiving 32.4k citations

Hit Papers

Comprehensive Analysis of mRNA Methylation Revea... 2001 2026 2009 2017 2012 2019 2015 2016 2001 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samie R. Jaffrey United States 78 29.0k 9.4k 2.9k 2.2k 1.8k 180 32.6k
Yang Shi United States 94 30.9k 1.1× 7.1k 0.8× 453 0.2× 1.0k 0.5× 878 0.5× 205 36.6k
Shigeo Murata Japan 64 10.2k 0.4× 1.3k 0.1× 861 0.3× 1.4k 0.6× 972 0.5× 215 19.1k
Jin Chen China 63 8.1k 0.3× 1.8k 0.2× 416 0.1× 744 0.3× 3.1k 1.7× 354 14.2k
Henning Urlaub Germany 83 20.3k 0.7× 2.4k 0.3× 189 0.1× 1.1k 0.5× 1.7k 0.9× 445 24.9k
Qing Dai United States 59 28.0k 1.0× 9.6k 1.0× 2.5k 0.9× 340 0.2× 159 0.1× 160 30.1k
W. Lee Kraus United States 72 11.2k 0.4× 2.0k 0.2× 1.1k 0.4× 648 0.3× 507 0.3× 161 17.1k
C. Frank Bennett United States 81 23.5k 0.8× 6.1k 0.6× 116 0.0× 1.6k 0.7× 3.5k 1.9× 227 30.1k
David L. Brautigan United States 70 12.4k 0.4× 953 0.1× 361 0.1× 1.3k 0.6× 1.6k 0.9× 249 16.5k
Jonathan A. Cooper United States 91 22.4k 0.8× 2.4k 0.3× 317 0.1× 1.7k 0.8× 3.6k 2.0× 237 32.3k
Akira Yasui Japan 63 8.7k 0.3× 1.6k 0.2× 280 0.1× 909 0.4× 1.3k 0.7× 265 12.7k

Countries citing papers authored by Samie R. Jaffrey

Since Specialization
Citations

This map shows the geographic impact of Samie R. Jaffrey'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 Samie R. Jaffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samie R. Jaffrey more than expected).

Fields of papers citing papers by Samie R. Jaffrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samie R. Jaffrey. 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 Samie R. Jaffrey. The network helps show where Samie R. Jaffrey may publish in the future.

Co-authorship network of co-authors of Samie R. Jaffrey

This figure shows the co-authorship network connecting the top 25 collaborators of Samie R. Jaffrey. A scholar is included among the top collaborators of Samie R. Jaffrey 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 Samie R. Jaffrey. Samie R. Jaffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ciceri, Gabriele, et al.. (2025). Sustained Epigenetic Reactivation in Fragile X Neurons with an RNA-Binding Small Molecule. Genes. 16(3). 278–278. 1 indexed citations
3.
Luo, Hanzhi, Michael G. Kharas, & Samie R. Jaffrey. (2025). N6-Methyladenosine: an RNA modification as a central regulator of cancer. Nature reviews. Cancer. 26(2). 118–136.
4.
Murakami, Shino, Paul Zumbo, Lukas E. Dow, et al.. (2024). Selenocysteine tRNA methylation promotes oxidative stress resistance in melanoma metastasis. Nature Cancer. 5(12). 1868–1884. 6 indexed citations
5.
Jaffrey, Samie R., et al.. (2024). A circular split nanoluciferase reporter for validating and screening putative internal ribosomal entry site elements. RNA. 30(11). rna.080008.124–rna.080008.124. 1 indexed citations
6.
Jaffrey, Samie R., et al.. (2023). Synthetic biology tools to promote the folding and function of RNA aptamers in mammalian cells. RNA Biology. 20(1). 198–206. 7 indexed citations
7.
Mirza, Aashiq H., Yaron Bram, Robert E. Schwartz, & Samie R. Jaffrey. (2023). SCARPET: site-specific quantification of methylated and nonmethylated adenosines reveals m6A stoichiometry. RNA. 30(3). 308–324. 5 indexed citations
8.
Lundquist, Mark R. & Samie R. Jaffrey. (2023). Gas6-Axl Signaling Induces SRF/MRTF-A Gene Transcription via MICAL2. Genes. 14(12). 2231–2231. 1 indexed citations
9.
Macêdo, Juan P., Mariana De Niz, Sara Silva Pereira, et al.. (2022). N6-methyladenosine in poly(A) tails stabilize VSG transcripts. Nature. 604(7905). 362–370. 45 indexed citations
10.
Han, Peng, Yuanchu She, Mengru Zhuang, et al.. (2022). Cbln1 regulates axon growth and guidance in multiple neural regions. PLoS Biology. 20(11). e3001853–e3001853. 6 indexed citations
11.
Dixit, Deobrat, Briana C. Prager, Ryan C. Gimple, et al.. (2020). The RNA m6A Reader YTHDF2 Maintains Oncogene Expression and Is a Targetable Dependency in Glioblastoma Stem Cells. Cancer Discovery. 11(2). 480–499. 274 indexed citations breakdown →
12.
Xi, Linghe, Thomas Carroll, Irina Matos, et al.. (2020). m6A RNA methylation impacts fate choices during skin morphogenesis. eLife. 9. 31 indexed citations
13.
Wang, Jin, Bing Liang Alvin Chew, Yong Lai, et al.. (2019). Quantifying the RNA cap epitranscriptome reveals novel caps in cellular and viral RNA. Nucleic Acids Research. 47(20). e130–e130. 132 indexed citations
14.
Ries, Ryan J., Sara Zaccara, Pierre Klein, et al.. (2019). m6A enhances the phase separation potential of mRNA. Nature. 571(7765). 424–428. 517 indexed citations breakdown →
15.
Wu, Baixing, Shichen Su, Deepak P. Patil, et al.. (2018). Molecular basis for the specific and multivariant recognitions of RNA substrates by human hnRNP A2/B1. Nature Communications. 9(1). 420–420. 312 indexed citations
16.
Litke, Jacob L., Mingxu You, & Samie R. Jaffrey. (2016). Developing Fluorogenic Riboswitches for Imaging Metabolite Concentration Dynamics in Bacterial Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 572. 315–333. 20 indexed citations
17.
Meyer, Kate D. & Samie R. Jaffrey. (2014). The dynamic epitranscriptome: N6-methyladenosine and gene expression control. Nature Reviews Molecular Cell Biology. 15(5). 313–326. 799 indexed citations breakdown →
18.
Colak, Dilek, Nikica Zaninović, Michael S. Cohen, et al.. (2014). Promoter-Bound Trinucleotide Repeat mRNA Drives Epigenetic Silencing in Fragile X Syndrome. Science. 343(6174). 1002–1005. 231 indexed citations
19.
Meyer, Kate D., Yogesh Saletore, Paul Zumbo, et al.. (2012). Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons. Cell. 149(7). 1635–1646. 3158 indexed citations breakdown →
20.
Fang, Ming, et al.. (2000). Dexras1. Neuron. 28(1). 183–193. 262 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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