Dana Braff

2.9k total citations · 2 hit papers
7 papers, 2.0k citations indexed

About

Dana Braff is a scholar working on Molecular Biology, Ecology and Molecular Medicine. According to data from OpenAlex, Dana Braff has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Molecular Medicine. Recurrent topics in Dana Braff's work include CRISPR and Genetic Engineering (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacteriophages and microbial interactions (3 papers). Dana Braff is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacteriophages and microbial interactions (3 papers). Dana Braff collaborates with scholars based in United States, Canada and Thailand. Dana Braff's co-authors include James J. Collins, Melissa K. Takahashi, Nina M. Donghia, Guillaume Lambert, Keith Pardee, Lee Gehrke, Duo Ma, Dawn M. Dudley, Alexander A. Green and David H. O’Connor and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Dana Braff

7 papers receiving 2.0k citations

Hit Papers

Rapid, Low-Cost Detection of Zika Virus Using Programmabl... 2014 2026 2018 2022 2016 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Braff United States 6 1.4k 504 298 290 272 7 2.0k
Vincent M. Isabella United States 19 1.7k 1.2× 329 0.7× 394 1.3× 426 1.5× 542 2.0× 31 2.8k
Krishnan Sankaran India 23 983 0.7× 132 0.3× 221 0.7× 168 0.6× 423 1.6× 64 1.8k
Joshua B. Parsons United States 18 1.1k 0.7× 96 0.2× 429 1.4× 264 0.9× 320 1.2× 33 1.8k
Quanjiang Ji China 29 2.5k 1.7× 123 0.2× 365 1.2× 339 1.2× 564 2.1× 70 3.0k
Johnny X. Huang Australia 27 717 0.5× 126 0.3× 242 0.8× 349 1.2× 80 0.3× 48 1.8k
Valerie A. Ferro United Kingdom 28 871 0.6× 167 0.3× 195 0.7× 64 0.2× 165 0.6× 112 2.6k
Marat R. Sadykov United States 27 1.4k 1.0× 154 0.3× 937 3.1× 149 0.5× 542 2.0× 45 1.9k
Marlon H. Cardoso Brazil 29 1.5k 1.1× 98 0.2× 169 0.6× 214 0.7× 150 0.6× 86 2.5k
Nancy G. Perlmutter Canada 9 599 0.4× 126 0.3× 433 1.5× 167 0.6× 141 0.5× 9 1.3k
John P. Santa Maria United States 12 834 0.6× 78 0.2× 440 1.5× 192 0.7× 238 0.9× 13 1.5k

Countries citing papers authored by Dana Braff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dana Braff

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

All Works

7 of 7 papers shown
1.
Lobritz, Michael A., Ian W. Andrews, Dana Braff, et al.. (2022). Increased energy demand from anabolic-catabolic processes drives β-lactam antibiotic lethality. Cell chemical biology. 29(2). 276–286.e4. 34 indexed citations
2.
Takahashi, Melissa K., Xiao Tan, Aaron J. Dy, et al.. (2018). A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers. Nature Communications. 9(1). 3347–3347. 173 indexed citations
3.
Takahashi, Noriko, Charley C. Gruber, Jason H. Yang, et al.. (2017). Lethality of MalE-LacZ hybrid protein shares mechanistic attributes with oxidative component of antibiotic lethality. Proceedings of the National Academy of Sciences. 114(34). 9164–9169. 33 indexed citations
4.
Braff, Dana, David L. Shis, & James J. Collins. (2016). Synthetic biology platform technologies for antimicrobial applications. Advanced Drug Delivery Reviews. 105(Pt A). 35–43. 35 indexed citations
5.
Pardee, Keith, Alexander A. Green, Melissa K. Takahashi, et al.. (2016). Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components. Cell. 165(5). 1255–1266. 1066 indexed citations breakdown →
6.
Braff, Dana, David L. Shis, & James J. Collins. (2016). Synthetic biology platform technologies for antimicrobial applications. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
7.
Dwyer, Daniel J., Peter Belenky, Jason H. Yang, et al.. (2014). Antibiotics induce redox-related physiological alterations as part of their lethality. Proceedings of the National Academy of Sciences. 111(20). E2100–9. 695 indexed citations breakdown →

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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