Matthew DeJongh
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Enzyme Catalysis and Immobilization
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Biomedical Engineering top 10%
- Biofuel production and bioconversion
Papers in
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- Bioinformatics and Genomic Networks 8
- Microbial Metabolic Engineering and Bioproduction 7
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 3
- Genomics and Phylogenetic Studies 2
- Biomedical Text Mining and Ontologies 2
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- Biofuel production and bioconversion 3
- Co-authors
- Aaron A. Best (11 shared papers)Christopher S. Henry (4 shared papers)Rick Stevens (2 shared papers)John Gould (1 shared paper)Matthew Rycenga (1 shared paper)Ross Overbeek (2 shared papers)Veronika Vonstein (1 shared paper)Nathan Tintle (7 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Frontiers in Microbiology (2 papers)Journal of Bacteriology (1 paper)Bioinformatics (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesRussiaPortugal
In The Last Decade
Matthew DeJongh
15 papers receiving 1.1k citations
Matthew DeJongh's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.0k
- Biomedical Engineering 389
- Aging 7
- Ecology 92
- Renewable Energy, Sustainability and the Environment 48
Countries citing papers authored by Matthew DeJongh
This map shows the geographic impact of Matthew DeJongh'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 Matthew DeJongh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew DeJongh more than expected).
Fields of papers citing papers by Matthew DeJongh
This network shows the impact of papers produced by Matthew DeJongh. 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 Matthew DeJongh. The network helps show where Matthew DeJongh may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew DeJongh, 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 | High-throughput generation, optimization and analysis of genome-scale metabolic models Hit paper breakdown → | 2010 | 788 |
| 2 | 2007 | 104 | |
| 3 | 2013 | 96 | |
| 4 | 2011 | 36 | |
| 5 | RedSoar--a system for red blood cell antibody identification. | 1991 | 13 |
| 6 | 2008 | 11 | |
| 7 | 2011 | 10 | |
| 8 | 2012 | 6 | |
| 9 | 2016 | 5 | |
| 10 | 2011 | 5 | |
| 11 | 2005 | 4 | |
| 12 | Models of Interdisciplinary Research and Service Learning at Hope College | 2007 | 3 |
| 13 | 2016 | 1 | |
| 14 | Diagrammatic Reasoning of Tabular Data | 1992 | 1 |
| 15 | 2018 | 1 | |
| 16 | 2016 | 0 |
About Matthew DeJongh
Matthew DeJongh is a scholar working on Molecular Biology, Biomedical Engineering, Artificial Intelligence, Genetics and Pharmacology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Biofuel production and bioconversion (3 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers), Genomics and Phylogenetic Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Biomedical Engineering (389 citations), Aging (7 citations), Ecology (92 citations) and Renewable Energy, Sustainability and the Environment (48 citations). Matthew DeJongh has collaborated with scholars based in United States, Russia and Portugal. Frequent co-authors include Aaron A. Best, Christopher S. Henry, Rick Stevens, John Gould, Matthew Rycenga, Ross Overbeek, Veronika Vonstein, Nathan Tintle, Andrei L. Osterman and Dmitry A. Ravcheev. Their work appears in journals such as BMC Bioinformatics, Frontiers in Microbiology, Journal of Bacteriology, Bioinformatics and Nature Biotechnology.
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.