Daniel S.W. Lee

2.3k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Daniel S.W. Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Daniel S.W. Lee has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Cell Biology. Recurrent topics in Daniel S.W. Lee's work include RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (6 papers). Daniel S.W. Lee is often cited by papers focused on RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (6 papers). Daniel S.W. Lee collaborates with scholars based in United States, South Korea and Israel. Daniel S.W. Lee's co-authors include Clifford P. Brangwynne, Ned S. Wingreen, David W. Sanders, Yongdae Shin, Joel Berry, Mikko Haataja, Yi-Che Chang, Pierre Ronceray, Amy R. Strom and Joshua A. Riback and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Daniel S.W. Lee

14 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization

2020 538 citations David W. Sanders, Nancy Kedersha et al. Cell profile →
Liquid Nuclear Condensates Mechanically Sense and Restructure the Genome

2018 497 citations Yongdae Shin, Yi-Che Chang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S.W. Lee United States	10	1.3k	136	86	65	49	15	1.4k
Hermann Broder Schmidt United States	10	1.5k 1.2×	133 1.0×	97 1.1×	57 0.9×	63 1.3×	12	1.6k
Anthony A. Hyman Germany	13	887 0.7×	219 1.6×	49 0.6×	38 0.6×	46 0.9×	25	1.1k
Anthony Barsic United States	5	1.1k 0.8×	155 1.1×	74 0.9×	35 0.5×	33 0.7×	6	1.2k
Xiaojie Zhang Germany	4	1.3k 1.1×	83 0.6×	123 1.4×	37 0.6×	81 1.7×	6	1.4k
Jamie L. Kear‐Scott United States	5	985 0.8×	173 1.3×	84 1.0×	58 0.9×	100 2.0×	7	1.1k
Sonja Kroschwald Germany	8	1.3k 1.0×	300 2.2×	66 0.8×	53 0.8×	77 1.6×	9	1.4k
Elisabeth Nüske Germany	7	1.3k 1.1×	228 1.7×	104 1.2×	51 0.8×	102 2.1×	7	1.5k
Anne Plochowietz United States	9	1.4k 1.1×	84 0.6×	116 1.3×	53 0.8×	108 2.2×	20	1.6k
Maria Hondele Switzerland	15	1.1k 0.9×	49 0.4×	72 0.8×	69 1.1×	40 0.8×	24	1.2k
Krzysztof Szczepaniak Poland	9	1.0k 0.8×	86 0.6×	96 1.1×	43 0.7×	85 1.7×	11	1.2k

Countries citing papers authored by Daniel S.W. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S.W. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S.W. Lee

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

All Works

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15 of 15 papers shown

Lee, Daniel S.W., et al.. (2025). Cell surface crowding is a tunable energetic barrier to cell-cell fusion. Nature Communications. 16(1). 7158–7158.

Lee, Daniel S.W., et al.. (2023). Condensate interfaces can accelerate protein aggregation. Biophysical Journal. 123(11). 1404–1413. 18 indexed citations

Lee, Daniel S.W., David W. Sanders, Lien Beckers, et al.. (2023). Size distributions of intracellular condensates reflect competition between coalescence and nucleation. Nature Physics. 19(4). 586–596. 45 indexed citations

Riback, Joshua A., Jorine M. Eeftens, Daniel S.W. Lee, et al.. (2023). Viscoelasticity and advective flow of RNA underlies nucleolar form and function. Molecular Cell. 83(17). 3095–3107.e9. 44 indexed citations

Takatori, Sho C., Sungmin Son, Daniel S.W. Lee, & Daniel A. Fletcher. (2023). Engineered molecular sensors for quantifying cell surface crowding. Proceedings of the National Academy of Sciences. 120(21). e2219778120–e2219778120. 9 indexed citations

Jack, Amanda, Yoonji Kim, Amy R. Strom, et al.. (2022). Compartmentalization of telomeres through DNA-scaffolded phase separation. Developmental Cell. 57(2). 277–290.e9. 52 indexed citations

Lee, Daniel S.W., Amy R. Strom, & Clifford P. Brangwynne. (2022). The mechanobiology of nuclear phase separation. APL Bioengineering. 6(2). 21503–21503. 27 indexed citations

Lee, Daniel S.W., Ned S. Wingreen, & Clifford P. Brangwynne. (2021). Chromatin mechanics dictates subdiffusion and coarsening dynamics of embedded condensates. Nature Physics. 17(4). 531–538. 103 indexed citations

Lee, Daniel S.W., et al.. (2021). A Primed Subpopulation of Bacteria Enables Rapid Expression of the Type 3 Secretion System in Pseudomonas aeruginosa. mBio. 12(3). 6 indexed citations

10.

Lee, Daniel S.W., Ned S. Wingreen, & Clifford P. Brangwynne. (2021). Chromatin Mechanics Dictates Subdiffusion and Coarsening Dynamics of Embedded Condensates. Biophysical Journal. 120(3). 318a–318a. 6 indexed citations

11.

Riback, Joshua A., Daniel S.W. Lee, Jorine M. Eeftens, et al.. (2021). Spatially Constrained Transcriptional Sources Drive Asphericity of Intracellular Liquids. Biophysical Journal. 120(3). 278a–278a. 1 indexed citations

12.

Zhang, Yaojun, Daniel S.W. Lee, Yigal Meir, Clifford P. Brangwynne, & Ned S. Wingreen. (2021). Mechanical Frustration of Phase Separation in the Cell Nucleus by Chromatin. Physical Review Letters. 126(25). 258102–258102. 50 indexed citations

13.

Sanders, David W., Nancy Kedersha, Daniel S.W. Lee, et al.. (2020). Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization. Cell. 181(2). 306–324.e28. 538 indexed citations breakdown →

14.

Shin, Yongdae, Yi-Che Chang, Daniel S.W. Lee, et al.. (2018). Liquid Nuclear Condensates Mechanically Sense and Restructure the Genome. Cell. 175(6). 1481–1491.e13. 497 indexed citations breakdown →

15.

Zhao, Zi-Ming, Michael C. Campbell, Ning Li, et al.. (2017). Detection of Regional Variation in Selection Intensity within Protein-Coding Genes Using DNA Sequence Polymorphism and Divergence. Molecular Biology and Evolution. 34(11). 3006–3022. 6 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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