Brian Ingalls
Impact in
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- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Control and Stability of Dynamical Systems
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Viral Infectious Diseases and Gene Expression in Insects
- Bioinformatics and Genomic Networks
Papers in
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- Gene Regulatory Network Analysis 32
- Microbial Metabolic Engineering and Bioproduction 17
- Viral Infectious Diseases and Gene Expression in Insects 15
- Fungal and yeast genetics research 6
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- Stability and Control of Uncertain Systems 8
- Adaptive Control of Nonlinear Systems 6
- Co-authors
- Herbert M. Sauro (2 shared papers)Eduardo D. Sontag (10 shared papers)Matthew P. Scott (5 shared papers)Mads Kærn (4 shared papers)C. Barnes (2 shared papers)Terence Hwa (1 shared paper)David R. McMillen (2 shared papers)Alex J. H. Fedorec (1 shared paper)
- Journals
- PLoS Computational Biology (5 papers)IET Systems Biology (2 papers)Biotechnology Journal (2 papers)Canadian Journal of Microbiology (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Brian Ingalls
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Control and Systems Engineering 313
- Molecular Biology 838
- Biophysics 53
- Statistical and Nonlinear Physics 85
- Endocrinology 34
Countries citing papers authored by Brian Ingalls
This map shows the geographic impact of Brian Ingalls'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 Brian Ingalls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ingalls more than expected).
Fields of papers citing papers by Brian Ingalls
This network shows the impact of papers produced by Brian Ingalls. 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 Brian Ingalls. The network helps show where Brian Ingalls may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Ingalls, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 111 | |
| 2 | 2020 | 82 | |
| 3 | Mathematical Modeling in Systems Biology: An Introduction | 2013 | 68 |
| 4 | 2010 | 67 | |
| 5 | 2006 | 64 | |
| 6 | 2008 | 63 | |
| 7 | 2007 | 62 | |
| 8 | 2004 | 58 | |
| 9 | 2002 | 57 | |
| 10 | 2004 | 52 | |
| 11 | 2002 | 44 | |
| 12 | 2016 | 44 | |
| 13 | 2003 | 43 | |
| 14 | 2011 | 37 | |
| 15 | 2009 | 31 | |
| 16 | 2011 | 30 | |
| 17 | 2008 | 29 | |
| 18 | 2004 | 28 | |
| 19 | 2010 | 27 | |
| 20 | 2014 | 26 |
About Brian Ingalls
Brian Ingalls is a scholar working on Molecular Biology, Control and Systems Engineering, Genetics, Biomedical Engineering and Pollution, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (32 papers), Microbial Metabolic Engineering and Bioproduction (17 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), Stability and Control of Uncertain Systems (8 papers), Evolution and Genetic Dynamics (7 papers), Fungal and yeast genetics research (6 papers), Adaptive Control of Nonlinear Systems (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Control and Systems Engineering (313 citations), Molecular Biology (838 citations), Biophysics (53 citations), Statistical and Nonlinear Physics (85 citations) and Endocrinology (34 citations). Brian Ingalls has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Herbert M. Sauro, Eduardo D. Sontag, Matthew P. Scott, Mads Kærn, C. Barnes, Terence Hwa, David R. McMillen, Alex J. H. Fedorec, Jordan Ang and Brendan J. McConkey. Their work appears in journals such as PLoS Computational Biology, IET Systems Biology, Biotechnology Journal, Canadian Journal of Microbiology and Journal of Theoretical 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.