Byron Lee

2.3k total citations · 2 hit papers
11 papers, 1.6k citations indexed

About

Byron Lee is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Byron Lee has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Physiology and 1 paper in Cancer Research. Recurrent topics in Byron Lee's work include RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (5 papers). Byron Lee is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (5 papers). Byron Lee collaborates with scholars based in United States, China and Australia. Byron Lee's co-authors include Howard Y. Chang, Ryan A. Flynn, Qiangfeng Cliff Zhang, Eric T. Kool, Robert C. Spitale, Hannes Y. Kuchelmeister, Pedro J. Batista, Pete Crisalli, Jong‐Wha Jung and Eduardo A. Torre and has published in prestigious journals such as Nature, Cell and Nature Protocols.

In The Last Decade

Byron Lee

11 papers receiving 1.6k citations

Hit Papers

Structural imprints in vivo decode RNA regulatory mechanisms 2015 2026 2018 2022 2015 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byron Lee United States 9 1.5k 410 59 42 39 11 1.6k
P. Kasaragod Finland 5 849 0.6× 552 1.3× 48 0.8× 62 1.5× 40 1.0× 5 1.0k
William E. Salomon United States 8 800 0.5× 414 1.0× 50 0.8× 10 0.2× 60 1.5× 10 906
Jessica Sheu‐Gruttadauria United States 10 1.2k 0.8× 630 1.5× 47 0.8× 8 0.2× 69 1.8× 12 1.3k
Jan Medenbach Germany 14 824 0.5× 192 0.5× 51 0.9× 8 0.2× 56 1.4× 23 921
Jeffrey M. Goodenbour United States 6 961 0.6× 100 0.2× 58 1.0× 13 0.3× 49 1.3× 7 1.0k
Mayuko Yoda Japan 8 792 0.5× 482 1.2× 26 0.4× 12 0.3× 56 1.4× 8 915
Tracy Nissan Sweden 17 1.2k 0.8× 93 0.2× 79 1.3× 11 0.3× 27 0.7× 25 1.3k
Susanne Kammler Denmark 8 888 0.6× 232 0.6× 37 0.6× 6 0.1× 54 1.4× 9 959
Megumi Shigematsu United States 13 982 0.7× 470 1.1× 28 0.5× 6 0.1× 49 1.3× 27 1.1k
Meghan Zubradt United States 5 1.1k 0.7× 146 0.4× 39 0.7× 6 0.1× 14 0.4× 7 1.1k

Countries citing papers authored by Byron Lee

Since Specialization
Citations

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

Fields of papers citing papers by Byron Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byron Lee

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

All Works

11 of 11 papers shown
1.
Lee, Byron, et al.. (2023). An evolutionarily nascent architecture underlying the formation and emergence of biomolecular condensates. Cell Reports. 42(8). 112955–112955. 14 indexed citations
2.
Lee, Byron, et al.. (2022). A unified view of low complexity regions (LCRs) across species. eLife. 11. 21 indexed citations
3.
Lee, Byron, et al.. (2022). An evolutionarily nascent architecture underlying the formation and emergence of biomolecular condensates. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Lee, Byron, et al.. (2021). A unified view of LCRs across species. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Sun, Lei, Furqan M. Fazal, Pan Li, et al.. (2019). RNA structure maps across mammalian cellular compartments. Nature Structural & Molecular Biology. 26(4). 322–330. 173 indexed citations
6.
Chen, Lü, Caitlin M. Roake, Adam Freund, et al.. (2018). An Activity Switch in Human Telomerase Based on RNA Conformation and Shaped by TCAB1. Cell. 174(1). 218–230.e13. 62 indexed citations
7.
Lee, Byron, Ryan A. Flynn, Anastasia P. Kadina, et al.. (2016). Comparison of SHAPE reagents for mapping RNA structures inside living cells. RNA. 23(2). 169–174. 66 indexed citations
8.
Flynn, Ryan A., T. Brian, Adam J. Rubin, et al.. (2016). 7SK-BAF axis controls pervasive transcription at enhancers. Nature Structural & Molecular Biology. 23(3). 231–238. 86 indexed citations
9.
Flynn, Ryan A., Qiangfeng Cliff Zhang, Robert C. Spitale, et al.. (2016). Transcriptome-wide interrogation of RNA secondary structure in living cells with icSHAPE. Nature Protocols. 11(2). 273–290. 123 indexed citations
10.
Lu, Zhipeng, Qiangfeng Cliff Zhang, Byron Lee, et al.. (2016). RNA Duplex Map in Living Cells Reveals Higher-Order Transcriptome Structure. Cell. 165(5). 1267–1279. 460 indexed citations breakdown →
11.
Spitale, Robert C., Ryan A. Flynn, Qiangfeng Cliff Zhang, et al.. (2015). Structural imprints in vivo decode RNA regulatory mechanisms. Nature. 519(7544). 486–490. 571 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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