Matthew Blades
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
-
- Cancer Research and Treatments
Papers in
-
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Genetics 3
- Co-authors
- Yun Song (1 shared paper)Aditya Chandru (1 shared paper)Shaun M. Cowley (1 shared paper)John W. R. Schwabe (1 shared paper)Naomi Robertson (1 shared paper)Tyson A. Clark (1 shared paper)Alexander N. Gorban (1 shared paper)John M. Atack (1 shared paper)
- Journals
- Scientific Reports (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Animal Genetics (1 paper)BMC Genomics (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Matthew Blades
15 papers receiving 443 citations
Peers
Comparison fields: 5 of 76
- Microbiology 62
- Biotechnology 36
- Molecular Medicine 19
- Endocrinology 19
- Molecular Biology 247
Countries citing papers authored by Matthew Blades
This map shows the geographic impact of Matthew Blades'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 Blades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Blades more than expected).
Fields of papers citing papers by Matthew Blades
This network shows the impact of papers produced by Matthew Blades. 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 Blades. The network helps show where Matthew Blades may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Blades, 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 | 2014 | 168 | |
| 2 | 2018 | 108 | |
| 3 | 2018 | 67 | |
| 4 | 2023 | 22 | |
| 5 | 2015 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2016 | 12 | |
| 8 | 2019 | 9 | |
| 9 | 2000 | 7 | |
| 10 | 2012 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2005 | 4 | |
| 13 | 1999 | 3 | |
| 14 | 2004 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2000 | 0 |
About Matthew Blades
Matthew Blades is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Infectious Diseases and Small Animals, having authored 16 papers that have together received 445 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Microbiology (62 citations), Biotechnology (36 citations), Molecular Medicine (19 citations), Endocrinology (19 citations) and Molecular Biology (247 citations). Matthew Blades has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Yun Song, Aditya Chandru, Shaun M. Cowley, John W. R. Schwabe, Naomi Robertson, Tyson A. Clark, Alexander N. Gorban, John M. Atack, Megan De Ste Croix and Abiodun D. Ogunniyi. Their work appears in journals such as Scientific Reports, Proteins Structure Function and Bioinformatics, Animal Genetics, BMC Genomics and FEBS Letters.
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.