Matthew E. Crawford
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
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- Microbial Metabolic Engineering and Bioproduction 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Fungal and yeast genetics research 3
- Genomics and Phylogenetic Studies 2
- Machine Learning in Bioinformatics 1
- Protist diversity and phylogeny 1
- Co-authors
- Margaret Werner‐Washburne (3 shared papers)Edward L. Braun (1 shared paper)Pamela A. Padilla (2 shared papers)Donald O. Natvig (1 shared paper)James I. Garrels (1 shared paper)Rafael Hernández (1 shared paper)Dhan Lord B. Fortela (1 shared paper)Wayne Sharp (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Molecular Microbiology (1 paper)Trends in biotechnology (1 paper)SHILAP Revista de lepidopterología (1 paper)Fungal Genetics Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew E. Crawford
6 papers receiving 306 citations
Peers
Comparison fields: 5 of 58
- Aging 47
- Molecular Biology 278
- Food Science 38
- Cell Biology 31
- Biotechnology 16
Countries citing papers authored by Matthew E. Crawford
This map shows the geographic impact of Matthew E. Crawford'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 E. Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Crawford more than expected).
Fields of papers citing papers by Matthew E. Crawford
This network shows the impact of papers produced by Matthew E. Crawford. 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 E. Crawford. The network helps show where Matthew E. Crawford may publish in the future.
Co-authors
The 10 scholars most cited alongside Matthew E. Crawford, 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 | 1996 | 199 | |
| 2 | 1998 | 97 | |
| 3 | 1998 | 13 | |
| 4 | 2000 | 5 | |
| 5 | 2020 | 3 | |
| 6 | 1998 | 2 |
About Matthew E. Crawford
Matthew E. Crawford is a scholar working on Molecular Biology, Control and Systems Engineering, Cell Biology, Catalysis and Spectroscopy, having authored 6 papers that have together received 319 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Fungal and yeast genetics research (3 papers), Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Catalysis and Oxidation Reactions (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Aging (47 citations), Molecular Biology (278 citations), Food Science (38 citations), Cell Biology (31 citations) and Biotechnology (16 citations). Matthew E. Crawford has collaborated with scholars based in United States. Frequent co-authors include Margaret Werner‐Washburne, Edward L. Braun, Pamela A. Padilla, Donald O. Natvig, James I. Garrels, Rafael Hernández, Dhan Lord B. Fortela, Wayne Sharp, Emmanuel Revellame and Mark E. Zappi. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Trends in biotechnology, SHILAP Revista de lepidopterología and Fungal Genetics Reports.
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.