Nathan Gamarra
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Nuclear Structure and Function
Papers in
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- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 3
- Chromatin Remodeling and Cancer 2
- RNA and protein synthesis mechanisms 2
- Protein Degradation and Inhibitors 1
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- Plant Molecular Biology Research 1
- Co-authors
- Lisa Henry (1 shared paper)Bryan A. Gibson (1 shared paper)Lynda K. Doolittle (1 shared paper)Michael K. Rosen (1 shared paper)Liv Jensen (1 shared paper)Daniel W. Gerlich (1 shared paper)Sy Redding (1 shared paper)Geeta J. Narlikar (5 shared papers)
- Journals
- eLife (2 papers)Journal of Molecular Biology (1 paper)Nature (1 paper)Molecular Cell (1 paper)Cell (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Nathan Gamarra
9 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 1.0k
- Structural Biology 9
- Biochemistry 32
- Plant Science 132
- Cell Biology 53
Countries citing papers authored by Nathan Gamarra
This map shows the geographic impact of Nathan Gamarra'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 Nathan Gamarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Gamarra more than expected).
Fields of papers citing papers by Nathan Gamarra
This network shows the impact of papers produced by Nathan Gamarra. 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 Nathan Gamarra. The network helps show where Nathan Gamarra may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Gamarra, 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 | Organization of Chromatin by Intrinsic and Regulated Phase Separation Hit paper breakdown → | 2019 | 723 |
| 2 | 2016 | 115 | |
| 3 | 2020 | 67 | |
| 4 | 2019 | 57 | |
| 5 | 2018 | 55 | |
| 6 | 2022 | 24 | |
| 7 | 2021 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 2 |
About Nathan Gamarra
Nathan Gamarra is a scholar working on Molecular Biology, Plant Science, Pharmacology, Cell Biology and Infectious Diseases, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers), Chromatin Remodeling and Cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Fungal Biology and Applications (2 papers), Plant Molecular Biology Research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Structural Biology (9 citations), Biochemistry (32 citations), Plant Science (132 citations) and Cell Biology (53 citations). Nathan Gamarra has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Lisa Henry, Bryan A. Gibson, Lynda K. Doolittle, Michael K. Rosen, Liv Jensen, Daniel W. Gerlich, Sy Redding, Geeta J. Narlikar, Stephanie L. Johnson and Coral Y. Zhou. Their work appears in journals such as eLife, Journal of Molecular Biology, Nature, Molecular Cell and Cell.
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.