Bryan S. Der
Impact in
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Biophysics top 5%
Papers in
-
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 4
- Gene Regulatory Network Analysis 4
- CRISPR and Genetic Engineering 4
- Glycosylation and Glycoproteins Research 3
- Protein purification and stability 3
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- Enzyme Structure and Function 9
- Co-authors
- Brian Kuhlman (11 shared papers)Christopher A. Voigt (5 shared papers)Jonghyeon Shin (2 shared papers)Prashant Vaidyanathan (2 shared papers)Douglas Densmore (2 shared papers)Elizabeth A. Strychalski (1 shared paper)David Ross (1 shared paper)Vanya Paralanov (1 shared paper)
- Journals
- Molecular BioSystems (2 papers)PLoS ONE (2 papers)Protein Science (2 papers)Science (2 papers)Molecular Systems Biology (2 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Bryan S. Der
22 papers receiving 1.9k citations
Bryan S. Der's Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.6k
- Biophysics 68
- Biotechnology 90
- Genetics 227
- Radiology, Nuclear Medicine and Imaging 169
Countries citing papers authored by Bryan S. Der
This map shows the geographic impact of Bryan S. Der'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 Bryan S. Der with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan S. Der more than expected).
Fields of papers citing papers by Bryan S. Der
This network shows the impact of papers produced by Bryan S. Der. 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 Bryan S. Der. The network helps show where Bryan S. Der may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan S. Der, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic circuit design automation Hit paper breakdown → | 2016 | 713 |
| 2 | 2013 | 321 | |
| 3 | 2018 | 136 | |
| 4 | 2012 | 123 | |
| 5 | 2012 | 115 | |
| 6 | 2011 | 93 | |
| 7 | 2013 | 80 | |
| 8 | 2017 | 62 | |
| 9 | 2020 | 53 | |
| 10 | 2016 | 38 | |
| 11 | 2007 | 30 | |
| 12 | 2007 | 29 | |
| 13 | 2009 | 26 | |
| 14 | 2014 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2010 | 19 | |
| 17 | 2010 | 18 | |
| 18 | 2013 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2011 | 13 |
About Bryan S. Der
Bryan S. Der is a scholar working on Molecular Biology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Ecology and Oncology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (4 papers), Gene Regulatory Network Analysis (4 papers), CRISPR and Genetic Engineering (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Biophysics (68 citations), Biotechnology (90 citations), Genetics (227 citations) and Radiology, Nuclear Medicine and Imaging (169 citations). Bryan S. Der has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Brian Kuhlman, Christopher A. Voigt, Jonghyeon Shin, Prashant Vaidyanathan, Douglas Densmore, Elizabeth A. Strychalski, David Ross, Vanya Paralanov, Alec A. K. Nielsen and David Edwards. Their work appears in journals such as Molecular BioSystems, PLoS ONE, Protein Science, Science and Molecular Systems Biology.
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.