Eliza S. Lee

1.3k total citations · 1 hit paper
10 papers, 889 citations indexed

About

Eliza S. Lee is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Eliza S. Lee has authored 10 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Eliza S. Lee's work include RNA Research and Splicing (10 papers), RNA modifications and cancer (7 papers) and RNA and protein synthesis mechanisms (3 papers). Eliza S. Lee is often cited by papers focused on RNA Research and Splicing (10 papers), RNA modifications and cancer (7 papers) and RNA and protein synthesis mechanisms (3 papers). Eliza S. Lee collaborates with scholars based in Canada, United States and Switzerland. Eliza S. Lee's co-authors include Alexander F. Palazzo, Abdalla Akef, Andrew Emili, Hui Zhang, Franka Voigt, Xianying A. Cui, Jan Eglinger, Jeffrey A. Chao, Ayşegül Güvenek and Jack Greenblatt and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Cell Reports.

In The Last Decade

Eliza S. Lee

10 papers receiving 878 citations

Hit Papers

Non-coding RNA: what is f... 2015 2026 2018 2022 2015 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
Eliza S. Lee Canada 8 780 440 55 47 34 10 889
Barbara Uszczyńska-Ratajczak Poland 10 755 1.0× 565 1.3× 35 0.6× 27 0.6× 49 1.4× 13 873
Alexandros Armaos Italy 15 817 1.0× 292 0.7× 46 0.8× 49 1.0× 19 0.6× 31 946
Chengguo Yao China 13 937 1.2× 360 0.8× 35 0.6× 25 0.5× 18 0.5× 28 1.0k
Matthew Friedersdorf United States 9 839 1.1× 333 0.8× 30 0.5× 40 0.9× 24 0.7× 13 910
María F. Rojas-Durán United States 10 1.2k 1.5× 349 0.8× 35 0.6× 40 0.9× 38 1.1× 12 1.3k
Daniel T. Youmans United States 6 803 1.0× 501 1.1× 66 1.2× 51 1.1× 39 1.1× 7 936
Daniel P. Caley United Kingdom 7 617 0.8× 427 1.0× 89 1.6× 85 1.8× 32 0.9× 10 817
Sooncheol Lee United States 7 687 0.9× 172 0.4× 40 0.7× 50 1.1× 18 0.5× 7 781
Roshan Vaid Sweden 9 662 0.8× 445 1.0× 63 1.1× 52 1.1× 37 1.1× 10 755

Countries citing papers authored by Eliza S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eliza S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eliza S. Lee. 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 Eliza S. Lee. The network helps show where Eliza S. Lee may publish in the future.

Co-authorship network of co-authors of Eliza S. Lee

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

All Works

10 of 10 papers shown
1.
Lee, Eliza S., et al.. (2024). N -6-methyladenosine (m6A) promotes the nuclear retention of mRNAs with intact 5′ splice site motifs. Life Science Alliance. 8(2). e202403142–e202403142. 2 indexed citations
2.
Lee, Eliza S., et al.. (2022). ZFC3H1 and U1-70K promote the nuclear retention of mRNAs with 5′ splice site motifs within nuclear speckles. RNA. 28(6). 878–894. 14 indexed citations
3.
Lee, Eliza S., Syed Nabeel‐Shah, Jack Greenblatt, et al.. (2020). MKRN2 Physically Interacts with GLE1 to Regulate mRNA Export and Zebrafish Retinal Development. Cell Reports. 31(8). 107693–107693. 13 indexed citations
4.
Lee, Eliza S., et al.. (2020). TPR is required for the efficient nuclear export of mRNAs and lncRNAs from short and intron-poor genes. Nucleic Acids Research. 48(20). 11645–11663. 34 indexed citations
5.
Palazzo, Alexander F. & Eliza S. Lee. (2018). Sequence Determinants for Nuclear Retention and Cytoplasmic Export of mRNAs and lncRNAs. Frontiers in Genetics. 9. 440–440. 70 indexed citations
6.
Lee, Eliza S. & Alexander F. Palazzo. (2017). Assessing mRNA nuclear export in mammalian cells by microinjection. Methods. 126. 76–85. 3 indexed citations
7.
Voigt, Franka, Hui Zhang, Xianying A. Cui, et al.. (2017). Single-Molecule Quantification of Translation-Dependent Association of mRNAs with the Endoplasmic Reticulum. Cell Reports. 21(13). 3740–3753. 62 indexed citations
8.
Akef, Abdalla, Eliza S. Lee, & Alexander F. Palazzo. (2015). Splicing promotes the nuclear export of β-globin mRNA by overcoming nuclear retention elements. RNA. 21(11). 1908–1920. 22 indexed citations
9.
Lee, Eliza S., et al.. (2015). The Consensus 5' Splice Site Motif Inhibits mRNA Nuclear Export. PLoS ONE. 10(3). e0122743–e0122743. 31 indexed citations
10.
Palazzo, Alexander F. & Eliza S. Lee. (2015). Non-coding RNA: what is functional and what is junk?. Frontiers in Genetics. 6. 2–2. 638 indexed citations breakdown →

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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