Matthew D. Dyer
- Molecular Biology top 10%
- Plant Science top 10%
- Infectious Diseases top 10%
- Genetics
- Immunology
- Co-authors
- T. M. MuraliBruno SobralTom SlezakMichael G. KatzeCarol ZhouAdam ZemłaJungnam LeeJianxin Wang
- Topics
- Bioinformatics and Genomic Networks (7 papers)Machine Learning in Bioinformatics (6 papers)Genomics and Phylogenetic Studies (5 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Matthew D. Dyer
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.0k
- Plant Science 218
- Infectious Diseases 217
- Genetics 172
- Immunology 158
Countries citing papers authored by Matthew D. Dyer
This map shows the geographic impact of Matthew D. Dyer'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 D. Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Dyer more than expected).
Fields of papers citing papers by Matthew D. Dyer
This network shows the impact of papers produced by Matthew D. Dyer. 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 D. Dyer. The network helps show where Matthew D. Dyer may publish in the future.
Co-authorship network of co-authors of Matthew D. Dyer
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Dyer. A scholar is included among the top collaborators of Matthew D. Dyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew D. Dyer. Matthew D. Dyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 79 | |
| 8 | 37 | |
| 9 | 71 | |
| 10 | 38 | |
| 11 | 108 | |
| 12 | 137 | |
| 13 | 4 | |
| 14 | 36 | |
| 15 | 45 | |
| 16 | 256 | |
| 17 | 137 | |
| 18 | 237 | |
| 19 | 181 | |
| 20 | 2 |
About Matthew D. Dyer
Matthew D. Dyer is a scholar working on Virology, Modeling and Simulation and Molecular Biology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Virology (69 citations) and Infectious Diseases (217 citations). Matthew D. Dyer has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include T. M. Murali, Bruno Sobral, Tom Slezak, Michael G. Katze, Carol Zhou, Adam Zemła, Jungnam Lee, Jianxin Wang, Kyudong Han and Richard Cordaux. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.
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.