Dana Braff
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- CRISPR and Genetic Engineering 4
- Gene Regulatory Network Analysis 2
- DNA Repair Mechanisms 1
- Ecology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- James J. Collins (8 shared papers)Melissa K. Takahashi (3 shared papers)Nina M. Donghia (3 shared papers)Guillaume Lambert (2 shared papers)Dawn M. Dudley (1 shared paper)David H. O’Connor (1 shared paper)Alexander A. Green (1 shared paper)Irene Bosch (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell (1 paper)Advanced Drug Delivery Reviews (1 paper)Cell chemical biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesThailandJapan
In The Last Decade
Dana Braff
7 papers receiving 2.2k citations
Dana Braff's Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Medicine 280
- Business and International Management 54
- Molecular Biology 1.5k
- Infectious Diseases 301
- Endocrinology 83
Countries citing papers authored by Dana Braff
This map shows the geographic impact of Dana Braff'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 Dana Braff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Braff more than expected).
Fields of papers citing papers by Dana Braff
This network shows the impact of papers produced by Dana Braff. 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 Dana Braff. The network helps show where Dana Braff may publish in the future.
Co-authors
The 25 scholars most cited alongside Dana Braff, 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 | Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components Hit paper breakdown → | 2016 | 1153 |
| 2 | Antibiotics induce redox-related physiological alterations as part of their lethality Hit paper breakdown → | 2014 | 731 |
| 3 | 2018 | 187 | |
| 4 | 2016 | 39 | |
| 5 | 2022 | 38 | |
| 6 | 2017 | 35 | |
| 7 | Synthetic biology platform technologies for antimicrobial applications | 2016 | 2 |
| 8 | A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers | 2018 | 0 |
About Dana Braff
Dana Braff is a scholar working on Molecular Biology, Ecology, Molecular Medicine, Genetics and Biomedical Engineering, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (3 papers), Biosensors and Analytical Detection (2 papers), Gene Regulatory Network Analysis (2 papers), DNA Repair Mechanisms (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Molecular Medicine (280 citations), Business and International Management (54 citations), Molecular Biology (1.5k citations), Infectious Diseases (301 citations) and Endocrinology (83 citations). Dana Braff has collaborated with scholars based in United States, Thailand and Japan. Frequent co-authors include James J. Collins, Melissa K. Takahashi, Nina M. Donghia, Guillaume Lambert, Dawn M. Dudley, David H. O’Connor, Alexander A. Green, Irene Bosch, Keith Pardee and Melina Fan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Advanced Drug Delivery Reviews, Cell chemical biology and Nature.
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.