Serena Bradde
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- CRISPR and Genetic Engineering 3
- Machine Learning in Bioinformatics 2
- Bioinformatics and Genomic Networks 2
-
- Complex Network Analysis Techniques 2
- Co-authors
- John T. Sauls (1 shared paper)Johan Paulsson (1 shared paper)Norbert S. Hill (1 shared paper)Massimo Vergassola (1 shared paper)Sattar Taheri-Araghi (1 shared paper)Petra Anne Levin (1 shared paper)Suckjoon Jun (1 shared paper)William Bialek (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Europhysics Letters (EPL) (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Current Biology (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Serena Bradde
13 papers receiving 704 citations
Serena Bradde's Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 291
- Biophysics 47
- Aging 13
- Molecular Biology 467
- Endocrinology 32
Countries citing papers authored by Serena Bradde
This map shows the geographic impact of Serena Bradde'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 Serena Bradde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Bradde more than expected).
Fields of papers citing papers by Serena Bradde
This network shows the impact of papers produced by Serena Bradde. 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 Serena Bradde. The network helps show where Serena Bradde may publish in the future.
Co-authors
The 25 scholars most cited alongside Serena Bradde, 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 | Cell-Size Control and Homeostasis in Bacteria Hit paper breakdown → | 2014 | 463 |
| 2 | 2012 | 45 | |
| 3 | 2017 | 44 | |
| 4 | 2010 | 33 | |
| 5 | 2020 | 28 | |
| 6 | 2010 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2007 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2009 | 8 | |
| 12 | 2012 | 4 | |
| 13 | 2009 | 2 |
About Serena Bradde
Serena Bradde is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Ecology, Condensed Matter Physics and Artificial Intelligence, having authored 13 papers that have together received 706 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (3 papers), CRISPR and Genetic Engineering (3 papers), Complex Network Analysis Techniques (2 papers), Complex Systems and Time Series Analysis (2 papers), Machine Learning in Bioinformatics (2 papers), Bioinformatics and Genomic Networks (2 papers), Theoretical and Computational Physics (2 papers) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Genetics (291 citations), Biophysics (47 citations), Aging (13 citations), Molecular Biology (467 citations) and Endocrinology (32 citations). Serena Bradde has collaborated with scholars based in United States, Italy and France. Frequent co-authors include John T. Sauls, Johan Paulsson, Norbert S. Hill, Massimo Vergassola, Sattar Taheri-Araghi, Petra Anne Levin, Suckjoon Jun, William Bialek, Vijay Balasubramanian and Giulio Biroli. Their work appears in journals such as PLoS Computational Biology, Europhysics Letters (EPL), Philosophical Transactions of the Royal Society B Biological Sciences, Current Biology and Physical Review Letters.
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.