Daniel S.W. Lee
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Protein Structure and Dynamics
- RNA regulation and disease
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- RNA Research and Splicing 10
- Genomics and Chromatin Dynamics 6
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 3
- Nuclear Structure and Function 3
- Protein Structure and Dynamics 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Clifford P. Brangwynne (11 shared papers)Ned S. Wingreen (5 shared papers)David W. Sanders (5 shared papers)Yi-Che Chang (1 shared paper)Mikko Haataja (1 shared paper)Pierre Ronceray (1 shared paper)Joel Berry (1 shared paper)Yongdae Shin (1 shared paper)
- Journals
- Biophysical Journal (3 papers)Nature Physics (2 papers)Cell (2 papers)Nature Communications (1 paper)APL Bioengineering (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Daniel S.W. Lee
14 papers receiving 1.4k citations
Daniel S.W. Lee's Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.3k
- Biochemistry 85
- Cell Biology 139
- Aging 8
- Biophysics 14
Countries citing papers authored by Daniel S.W. Lee
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
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-authors
The 25 scholars most cited alongside Daniel S.W. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization Hit paper breakdown → | 2020 | 552 |
| 2 | Liquid Nuclear Condensates Mechanically Sense and Restructure the Genome Hit paper breakdown → | 2018 | 507 |
| 3 | 2021 | 107 | |
| 4 | 2021 | 54 | |
| 5 | 2022 | 53 | |
| 6 | 2023 | 50 | |
| 7 | 2023 | 50 | |
| 8 | 2022 | 28 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 |
About Daniel S.W. Lee
Daniel S.W. Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Physiology and Genetics, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Genomics and Chromatin Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (3 papers), Nuclear Structure and Function (3 papers), Protein Structure and Dynamics (2 papers), Plant Molecular Biology Research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Biochemistry (85 citations), Cell Biology (139 citations), Aging (8 citations) and Biophysics (14 citations). Daniel S.W. Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Clifford P. Brangwynne, Ned S. Wingreen, David W. Sanders, Yi-Che Chang, Mikko Haataja, Pierre Ronceray, Joel Berry, Yongdae Shin, Amy R. Strom and Joshua A. Riback. Their work appears in journals such as Biophysical Journal, Nature Physics, Cell, Nature Communications and APL Bioengineering.
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.