Matt E. Oates
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Paleontology top 10%
- Marine Invertebrate Physiology and Ecology
Papers in
-
- Genomics and Phylogenetic Studies 11
- Bioinformatics and Genomic Networks 6
- Protein Structure and Dynamics 4
- Machine Learning in Bioinformatics 3
- RNA Research and Splicing 2
- Developmental Biology and Gene Regulation 2
- Receptor Mechanisms and Signaling 1
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Julian Gough (17 shared papers)Takashi Ishida (1 shared paper)Pedro R Romero (1 shared paper)Mohamed F. Ghalwash (1 shared paper)Vladimir Nikolaevich Uversky (1 shared paper)Bin Xue (1 shared paper)A. Keith Dunker (1 shared paper)Zsuzsanna Dosztányi (1 shared paper)
- Journals
- Nucleic Acids Research (7 papers)Molecular Biology and Evolution (1 paper)Nature Communications (1 paper)Environmental Microbiology (1 paper)Protein Science (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Matt E. Oates
21 papers receiving 3k citations
Matt E. Oates's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 2k
- Paleontology 115
- Ecology 254
- Plant Science 331
- Genetics 211
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The InterPro protein families database: the classification resource after 15 years Hit paper breakdown → | 2014 | 1033 |
| 2 | D2P2: database of disordered protein predictions Hit paper breakdown → | 2012 | 583 |
| 3 | The genome of Aiptasia , a sea anemone model for coral symbiosis Hit paper breakdown → | 2015 | 322 |
| 4 | 2016 | 292 | |
| 5 | 2016 | 212 | |
| 6 | 2018 | 157 | |
| 7 | 2014 | 73 | |
| 8 | 2014 | 72 | |
| 9 | 2016 | 48 | |
| 10 | 2016 | 47 | |
| 11 | 2013 | 41 | |
| 12 | 2014 | 37 | |
| 13 | 2016 | 32 | |
| 14 | 2014 | 13 | |
| 15 | 2015 | 13 | |
| 16 | 2019 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2014 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2023 | 3 |
About Matt E. Oates
Matt E. Oates is a scholar working on Molecular Biology, Plant Science, Genetics, Paleontology and Cancer Research, having authored 21 papers that have together received 3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (6 papers), Protein Structure and Dynamics (4 papers), Machine Learning in Bioinformatics (3 papers), RNA Research and Splicing (2 papers), Developmental Biology and Gene Regulation (2 papers), Chromosomal and Genetic Variations (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Molecular Biology (2k citations), Paleontology (115 citations), Ecology (254 citations), Plant Science (331 citations) and Genetics (211 citations). Matt E. Oates has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Julian Gough, Takashi Ishida, Pedro R Romero, Mohamed F. Ghalwash, Vladimir Nikolaevich Uversky, Bin Xue, A. Keith Dunker, Zsuzsanna Dosztányi, Zoran Obradović and Lukasz Kurgan. Their work appears in journals such as Nucleic Acids Research, Molecular Biology and Evolution, Nature Communications, Environmental Microbiology and Protein Science.
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.