Matt Simison
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Molecular Biology top 10%
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
Papers in
-
- Fungal and yeast genetics research 4
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 3
- Microbial Metabolic Engineering and Bioproduction 2
- Co-authors
- Stuart R. Miyasato (10 shared papers)Marek S. Skrzypek (9 shared papers)Gail Binkley (7 shared papers)Gavin Sherlock (5 shared papers)Jonathan Binkley (3 shared papers)Diane O. Inglis (4 shared papers)Prachi Shah (3 shared papers)Jill Binkley (2 shared papers)
- Journals
- Nucleic Acids Research (7 papers)Genetics (1 paper)Database (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Matt Simison
10 papers receiving 1.2k citations
Matt Simison's Hit Papers
Peers
Comparison fields: 5 of 87
- Infectious Diseases 422
- Molecular Biology 841
- Pharmacology 169
- Food Science 146
- Cell Biology 132
Countries citing papers authored by Matt Simison
This map shows the geographic impact of Matt Simison'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 Matt Simison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Simison more than expected).
Fields of papers citing papers by Matt Simison
This network shows the impact of papers produced by Matt Simison. 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 Matt Simison. The network helps show where Matt Simison may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Simison, 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 | TheCandidaGenome Database (CGD): incorporation of Assembly 22, systematic identifiers and visualization of high throughput sequencing data Hit paper breakdown → | 2016 | 310 |
| 2 | 2014 | 287 | |
| 3 | 2013 | 205 | |
| 4 | 2011 | 166 | |
| 5 | 2011 | 132 | |
| 6 | 2021 | 43 | |
| 7 | 2015 | 30 | |
| 8 | 2013 | 28 | |
| 9 | 2017 | 24 | |
| 10 | 2019 | 13 |
About Matt Simison
Matt Simison is a scholar working on Molecular Biology, Food Science, Infectious Diseases, Cell Biology and Epidemiology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Bioinformatics and Genomic Networks (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Antifungal resistance and susceptibility (3 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Mycotoxins in Agriculture and Food (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Infectious Diseases (422 citations), Molecular Biology (841 citations), Pharmacology (169 citations), Food Science (146 citations) and Cell Biology (132 citations). Matt Simison has collaborated with scholars based in United States. Frequent co-authors include Stuart R. Miyasato, Marek S. Skrzypek, Gail Binkley, Gavin Sherlock, Jonathan Binkley, Diane O. Inglis, Prachi Shah, Jill Binkley, J. Michael Cherry and M. B. Arnaud. Their work appears in journals such as Nucleic Acids Research, Genetics, Database and G3 Genes Genomes Genetics.
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.