Matt E. Oates
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- Paleontology top 10%
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 5
- Bioinformatics and Genomic Networks 3
- RNA Research and Splicing 2
- Protein Structure and Dynamics 2
- CRISPR and Genetic Engineering 2
- Biomedical Text Mining and Ontologies 2
- Genetics 5
- Genetic diversity and population structure 2
- Co-authors
- Julian Gough (17 shared papers)Zsuzsanna Dosztányi (1 shared paper)Vladimir N. Uversky (1 shared paper)Bin Xue (1 shared paper)Marcin J. Mizianty (1 shared paper)Takashi Ishida (1 shared paper)Pedro Romero (1 shared paper)Mohamed Ghalwash (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Scientific Reports (1 paper)PLANT PHYSIOLOGY (1 paper)Nature Genetics (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Matt E. Oates
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.1k
- Paleontology 83
- Biotechnology 100
- Ecology 241
- Oceanography 78
Countries citing papers authored by Matt E. Oates
This map shows the geographic impact of Matt E. Oates'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 E. Oates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt E. Oates more than expected).
Fields of papers citing papers by Matt E. Oates
This network shows the impact of papers produced by Matt E. Oates. 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 E. Oates. The network helps show where Matt E. Oates may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt E. Oates, 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 | D2P2: database of disordered protein predictions Hit paper breakdown → | 2012 | 524 |
| 2 | The genome of Aiptasia , a sea anemone model for coral symbiosis Hit paper breakdown → | 2015 | 289 |
| 3 | 2016 | 187 | |
| 4 | 2018 | 132 | |
| 5 | 2014 | 64 | |
| 6 | 2014 | 61 | |
| 7 | 2016 | 46 | |
| 8 | 2016 | 43 | |
| 9 | 2013 | 37 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2019 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2014 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2023 | 3 |
About Matt E. Oates
Matt E. Oates is a scholar working on Molecular Biology, Genetics, Spectroscopy, Biotechnology and Oceanography, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers), Bioinformatics and Genomic Networks (3 papers), RNA Research and Splicing (2 papers), Protein Structure and Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Genetic diversity and population structure (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Paleontology (83 citations), Biotechnology (100 citations), Ecology (241 citations) and Oceanography (78 citations). Matt E. Oates has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Julian Gough, Zsuzsanna Dosztányi, Vladimir N. Uversky, Bin Xue, Marcin J. Mizianty, Takashi Ishida, Pedro Romero, Mohamed Ghalwash, A. Keith Dunker and Zoran Obradović. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, PLANT PHYSIOLOGY, Nature Genetics and Molecular Biology and Evolution.
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.