Richard Que
Impact in
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Enzyme Catalysis and Immobilization
- Metabolomics and Mass Spectrometry Studies
- Viral Infectious Diseases and Gene Expression in Insects
- Biomedical Engineering top 5%
- Biofuel production and bioconversion
Papers in
-
- Silk-based biomaterials and applications 3
- Collagen: Extraction and Characterization 3
- Electrospun Nanofibers in Biomedical Applications 1
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- Microbial Metabolic Engineering and Bioproduction 2
- Gene expression and cancer classification 1
- Co-authors
- Aarash Bordbar (3 shared papers)Ines Thiele (3 shared papers)Bernhard Ø. Palsson (3 shared papers)Ronan M. T. Fleming (3 shared papers)Daniel C. Zielinski (2 shared papers)Joseph Kang (2 shared papers)Jan Schellenberger (2 shared papers)Sorena Rahmanian (2 shared papers)
- Journals
- Biotechnology Journal (1 paper)Biomacromolecules (1 paper)Genome biology (1 paper)Nature Protocols (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIceland
In The Last Decade
Richard Que
10 papers receiving 1.7k citations
Richard Que's Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.4k
- Biomedical Engineering 604
- Biomaterials 134
- Developmental Neuroscience 21
- Renewable Energy, Sustainability and the Environment 84
Countries citing papers authored by Richard Que
This map shows the geographic impact of Richard Que'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 Richard Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Que more than expected).
Fields of papers citing papers by Richard Que
This network shows the impact of papers produced by Richard Que. 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 Richard Que. The network helps show where Richard Que may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Que, 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 | Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 Hit paper breakdown → | 2011 | 1343 |
| 2 | 2016 | 132 | |
| 3 | 2012 | 87 | |
| 4 | 2014 | 48 | |
| 5 | 2018 | 36 | |
| 6 | 2011 | 31 | |
| 7 | 2015 | 26 | |
| 8 | 2014 | 14 | |
| 9 | 2024 | 9 | |
| 10 | 2018 | 6 |
About Richard Que
Richard Que is a scholar working on Biomaterials, Molecular Biology, Cell Biology, Biomedical Engineering and Surgery, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (3 papers), Collagen: Extraction and Characterization (3 papers), Bone Tissue Engineering Materials (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Cellular Mechanics and Interactions (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Gene expression and cancer classification (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Biomedical Engineering (604 citations), Biomaterials (134 citations), Developmental Neuroscience (21 citations) and Renewable Energy, Sustainability and the Environment (84 citations). Richard Que has collaborated with scholars based in United States and Iceland. Frequent co-authors include Aarash Bordbar, Ines Thiele, Bernhard Ø. Palsson, Ronan M. T. Fleming, Daniel C. Zielinski, Joseph Kang, Jan Schellenberger, Sorena Rahmanian, Daniel R. Hyduke and Nathan E. Lewis. Their work appears in journals such as Biotechnology Journal, Biomacromolecules, Genome biology, Nature Protocols and PLoS ONE.
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.