Dan Bracha
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
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- RNA Research and Splicing 5
- Advanced biosensing and bioanalysis techniques 5
- RNA and protein synthesis mechanisms 2
- DNA and Nucleic Acid Chemistry 1
- Wnt/β-catenin signaling in development and cancer 1
- Genomics and Chromatin Dynamics 1
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- Electrostatics and Colloid Interactions 3
- Co-authors
- Clifford P. Brangwynne (7 shared papers)Mackenzie T. Walls (3 shared papers)José L. Avalos (2 shared papers)Lian Zhu (2 shared papers)Jared E. Toettcher (2 shared papers)Roy Bar‐Ziv (6 shared papers)Martin J. Kurian (1 shared paper)Ming‐Tzo Wei (1 shared paper)
- Journals
- Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Molecular Biology of the Cell (1 paper)eLife (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Dan Bracha
13 papers receiving 1.7k citations
Dan Bracha's Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.2k
- Infectious Diseases 143
- Cell Biology 104
- Physical and Theoretical Chemistry 76
- Biophysics 47
Countries citing papers authored by Dan Bracha
This map shows the geographic impact of Dan Bracha'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 Dan Bracha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Bracha more than expected).
Fields of papers citing papers by Dan Bracha
This network shows the impact of papers produced by Dan Bracha. 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 Dan Bracha. The network helps show where Dan Bracha may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Bracha, 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 | 606 |
| 2 | 2018 | 382 | |
| 3 | 2019 | 251 | |
| 4 | 2021 | 183 | |
| 5 | 2021 | 107 | |
| 6 | 2013 | 56 | |
| 7 | 2010 | 39 | |
| 8 | 2014 | 38 | |
| 9 | 2019 | 32 | |
| 10 | 2014 | 30 | |
| 11 | 2016 | 28 | |
| 12 | 2024 | 23 | |
| 13 | 2021 | 9 |
About Dan Bracha
Dan Bracha is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Surfaces, Coatings and Films, Infectious Diseases and Nuclear Energy and Engineering, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Electrostatics and Colloid Interactions (3 papers), RNA and protein synthesis mechanisms (2 papers), Polymer Surface Interaction Studies (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Infectious Diseases (143 citations), Cell Biology (104 citations), Physical and Theoretical Chemistry (76 citations) and Biophysics (47 citations). Dan Bracha has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Clifford P. Brangwynne, Mackenzie T. Walls, José L. Avalos, Lian Zhu, Jared E. Toettcher, Roy Bar‐Ziv, Martin J. Kurian, Ming‐Tzo Wei, David W. Sanders and Ming-Tzo Wei. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Molecular Biology of the Cell and eLife.
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.