Matt E. Oates

4.1k total citations · 2 hit papers
17 papers, 1.5k citations indexed

About

Matt E. Oates is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Matt E. Oates has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Spectroscopy. Recurrent topics in Matt E. Oates's work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Bioinformatics and Genomic Networks (3 papers). Matt E. Oates is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Bioinformatics and Genomic Networks (3 papers). Matt E. Oates collaborates with scholars based in United Kingdom, United States and France. Matt E. Oates's co-authors include Julian Gough, Vladimir N. Uversky, Mohamed Ghalwash, Lukasz Kurgan, Zoran Obradović, Takashi Ishida, Pedro Romero, Bin Xue, A. Keith Dunker and Marcin J. Mizianty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Matt E. Oates

17 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

D2P2: database of disordered protein predictions

2012 524 citations Matt E. Oates, Pedro Romero et al. Nucleic Acids Research profile →
The genome of Aiptasia , a sea anemone model for coral symbiosis

2015 289 citations Sebastian Baumgarten, Oleg Simakov et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matt E. Oates United Kingdom	12	1.1k	241	122	110	106	17	1.5k
Yurii G. Yanushevich Russia	14	1.2k 1.1×	208 0.9×	101 0.8×	132 1.2×	85 0.8×	25	1.9k
Yulii A. Labas Russia	10	1.8k 1.6×	250 1.0×	105 0.9×	237 2.2×	162 1.5×	12	2.5k
Maria E Bulina Russia	10	703 0.6×	105 0.4×	93 0.8×	58 0.5×	51 0.5×	13	1.2k
Xavier Grau‐Bové Spain	21	852 0.8×	304 1.3×	15 0.1×	107 1.0×	173 1.6×	29	1.2k
Celina E. Juliano United States	22	1.4k 1.3×	139 0.6×	46 0.4×	258 2.3×	379 3.6×	38	2.0k
Angelika Böttger Germany	25	1.8k 1.7×	120 0.5×	64 0.5×	82 0.7×	56 0.5×	46	2.4k
Per Moberg Sweden	16	731 0.7×	164 0.7×	84 0.7×	179 1.6×	93 0.9×	21	1.1k
Robert Zwilling Germany	23	887 0.8×	202 0.8×	92 0.8×	209 1.9×	98 0.9×	56	1.8k
Katsuji Hori Japan	19	793 0.7×	128 0.5×	111 0.9×	263 2.4×	64 0.6×	67	1.2k
Koichi Yoshinaga Japan	17	898 0.8×	275 1.1×	38 0.3×	169 1.5×	245 2.3×	46	1.4k

Countries citing papers authored by Matt E. Oates

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matt E. Oates

This figure shows the co-authorship network connecting the top 25 collaborators of Matt E. Oates. A scholar is included among the top collaborators of Matt E. Oates 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 Matt E. Oates. Matt E. Oates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Lu, Chang, Jan Zaucha, Hai Fang, et al.. (2023). Hypothesis-free phenotype prediction within a genetics-first framework. Nature Communications. 14(1). 919–919. 3 indexed citations

Smithers, Ben, Matt E. Oates, & Julian Gough. (2019). ‘Why genes in pieces?’—revisited. Nucleic Acids Research. 47(10). 4970–4973. 10 indexed citations

Pandurangan, Arun Prasad, et al.. (2018). The SUPERFAMILY 2.0 database: a significant proteome update and a new webserver. Nucleic Acids Research. 47(D1). D490–D494. 132 indexed citations

Latysheva, Natasha S., Matt E. Oates, Tilman Flock, et al.. (2016). Molecular Principles of Gene Fusion Mediated Rewiring of Protein Interaction Networks in Cancer. Molecular Cell. 63(4). 579–592. 46 indexed citations

Marchadier, Elodie, Matt E. Oates, Hai Fang, et al.. (2016). Evolution of the Calcium-Based Intracellular Signaling System. Genome Biology and Evolution. 8(7). 2118–2132. 27 indexed citations

Zhou, Bangjun, Ravi V. Mural, Xuanyang Chen, et al.. (2016). A Subset of Ubiquitin-Conjugating Enzymes Is Essential for Plant Immunity. PLANT PHYSIOLOGY. 173(2). 1371–1390. 43 indexed citations

Rackham, Owen J. L., Jaber Firas, Hai Fang, et al.. (2016). A predictive computational framework for direct reprogramming between human cell types. Nature Genetics. 48(3). 331–335. 187 indexed citations

Smithers, Ben, Matt E. Oates, Péter Tompa, & Julian Gough. (2016). Three reasons protein disorder analysis makes more sense in the light of collagen. Protein Science. 25(5). 1030–1036. 8 indexed citations

Baumgarten, Sebastian, Oleg Simakov, Yi Jin Liew, et al.. (2015). The genome of Aiptasia , a sea anemone model for coral symbiosis. Proceedings of the National Academy of Sciences. 112(38). 11893–11898. 289 indexed citations breakdown →

10.

Rackham, Owen J. L., et al.. (2015). Function-selective domain architecture plasticity potentials in eukaryotic genome evolution. Biochimie. 119. 269–277. 4 indexed citations

11.

Smithers, Ben, Matt E. Oates, & Julian Gough. (2015). Splice junctions are constrained by protein disorder. Nucleic Acids Research. 43(10). 4814–4822. 14 indexed citations

12.

Venkatakrishnan, AJ, et al.. (2014). Structured and disordered facets of the GPCR fold. Current Opinion in Structural Biology. 27. 129–137. 64 indexed citations

13.

Oates, Matt E., Hai Fang, Alistair R. R. Forrest, et al.. (2014). The Evolution of Human Cells in Terms of Protein Innovation. Molecular Biology and Evolution. 31(6). 1364–1374. 13 indexed citations

14.

Oates, Matt E., Dimitrios V. Vavoulis, Ben Smithers, et al.. (2014). The SUPERFAMILY 1.75 database in 2014: a doubling of data. Nucleic Acids Research. 43(D1). D227–D233. 61 indexed citations

15.

Zaucha, Jan, Matt E. Oates, Natalie Thurlby, et al.. (2014). A P roteome Q uality I ndex. Environmental Microbiology. 17(1). 4–9. 5 indexed citations

16.

Fang, Hai, Matt E. Oates, Jenny M. Greenwood, et al.. (2013). A daily-updated tree of (sequenced) life as a reference for genome research. Scientific Reports. 3(1). 2015–2015. 37 indexed citations

17.

Oates, Matt E., Pedro Romero, Takashi Ishida, et al.. (2012). D2P2: database of disordered protein predictions. Nucleic Acids Research. 41(D1). D508–D516. 524 indexed citations breakdown →

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.

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