Matthew Loose

15.4k total citations
62 papers, 2.2k citations indexed

About

Matthew Loose is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Matthew Loose has authored 62 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Infectious Diseases. Recurrent topics in Matthew Loose's work include Genomics and Phylogenetic Studies (15 papers), Gene Regulatory Network Analysis (12 papers) and Single-cell and spatial transcriptomics (8 papers). Matthew Loose is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Gene Regulatory Network Analysis (12 papers) and Single-cell and spatial transcriptomics (8 papers). Matthew Loose collaborates with scholars based in United Kingdom, Germany and Australia. Matthew Loose's co-authors include Roger Patient, Nadine Holmes, Alexander Payne, Sunir Malla, Michael B. Stout, Vardhman K. Rakyan, Rory Munro, John R. King, Andrew D. Johnson and Tessa Peterkin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matthew Loose

59 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Loose United Kingdom 23 1.6k 420 253 207 205 62 2.2k
Denis Rebrikov Russia 20 1.6k 1.0× 253 0.6× 259 1.0× 128 0.6× 255 1.2× 103 2.5k
Robert J. Pryor United States 12 1.3k 0.8× 401 1.0× 211 0.8× 162 0.8× 336 1.6× 13 2.3k
Ole Schulz-Trieglaff Germany 13 1.8k 1.1× 563 1.3× 165 0.7× 261 1.3× 260 1.3× 18 2.8k
Honghai Zhang China 26 1.3k 0.8× 410 1.0× 178 0.7× 222 1.1× 77 0.4× 187 2.3k
Luc Jouneau France 29 1.3k 0.8× 396 0.9× 187 0.7× 289 1.4× 146 0.7× 91 3.1k
Leslie A. Mitchell Canada 33 1.8k 1.1× 433 1.0× 516 2.0× 354 1.7× 288 1.4× 91 3.2k
G. H. Reed United States 5 1.3k 0.8× 390 0.9× 213 0.8× 184 0.9× 374 1.8× 9 2.3k
Cristi L. Galindo United States 30 1.3k 0.8× 388 0.9× 239 0.9× 215 1.0× 59 0.3× 86 2.8k
Yan Jaszczyszyn France 15 1.8k 1.1× 539 1.3× 138 0.5× 149 0.7× 373 1.8× 35 2.7k
Saskia Hiltemann Netherlands 13 1.8k 1.1× 351 0.8× 177 0.7× 221 1.1× 427 2.1× 25 2.9k

Countries citing papers authored by Matthew Loose

Since Specialization
Citations

This map shows the geographic impact of Matthew Loose'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 Loose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Loose more than expected).

Fields of papers citing papers by Matthew Loose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Loose. 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 Loose. The network helps show where Matthew Loose may publish in the future.

Co-authorship network of co-authors of Matthew Loose

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

All Works

20 of 20 papers shown
1.
Munro, Rory, et al.. (2025). Enhancing nanopore adaptive sampling for PromethION using readfish at scale. Genome Research. 35(4). 877–885. 2 indexed citations
2.
Klisch, Doris, Takuya Azami, Daniel E. Goszczynski, et al.. (2024). A single-cell atlas of pig gastrulation as a resource for comparative embryology. Nature Communications. 15(1). 5210–5210. 7 indexed citations
3.
Munro, Rory, et al.. (2024). Icarust, a real-time simulator for Oxford Nanopore adaptive sampling. Bioinformatics. 40(4). 6 indexed citations
4.
Blanchard, Adam, Malcolm Bennett, Samantha Bremner‐Harrison, et al.. (2023). Lack of detection of SARS-CoV-2 in British wildlife 2020–21 and first description of a stoat (Mustela erminea) Minacovirus. Journal of General Virology. 104(12). 3 indexed citations
5.
Weilguny, Lukas, Nicola De Maio, Rory Munro, et al.. (2023). Dynamic, adaptive sampling during nanopore sequencing using Bayesian experimental design. Nature Biotechnology. 41(7). 1018–1025. 44 indexed citations
6.
Munro, Rory, Nadine Holmes, Christopher Moore, et al.. (2023). A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing. Frontiers in Genetics. 14. 1138582–1138582. 10 indexed citations
7.
Acosta, Helena, Zoltán Ferjentsik, Alexander Payne, et al.. (2023). NANOG is required to establish the competence for germ-layer differentiation in the basal tetrapod axolotl. PLoS Biology. 21(6). e3002121–e3002121.
8.
Tarlinton, Rachael, Alistair R. Legione, Nishat Sarker, et al.. (2022). Differential and defective transcription of koala retrovirus indicates the complexity of host and virus evolution. Journal of General Virology. 103(6). 10 indexed citations
9.
Baker, Michelle, Yue Hu, Wei Wang, et al.. (2022). Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock. The ISME Journal. 17(1). 21–35. 38 indexed citations
10.
Munro, Rory, et al.. (2021). minoTour, real-time monitoring and analysis for nanopore sequencers. Bioinformatics. 38(4). 1133–1135. 9 indexed citations
11.
Sang, Fei, Sarah Withey, Walfred W. C. Tang, et al.. (2021). Specification and epigenomic resetting of the pig germline exhibit conservation with the human lineage. Cell Reports. 34(6). 108735–108735. 36 indexed citations
12.
Payne, Alexander, Nadine Holmes, Vardhman K. Rakyan, & Matthew Loose. (2018). BulkVis: a graphical viewer for Oxford nanopore bulk FAST5 files. Bioinformatics. 35(13). 2193–2198. 206 indexed citations
13.
Votintseva, Antonina A., Phelim Bradley, Louise Pankhurst, et al.. (2017). Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples. Journal of Clinical Microbiology. 55(5). 1285–1298. 231 indexed citations
14.
Loose, Matthew, et al.. (2015). AlignWise: a tool for identifying protein-coding sequence and correcting frame-shifts. BMC Bioinformatics. 16(1). 376–376. 18 indexed citations
15.
Wade, Christopher M., et al.. (2014). Acquisition of Germ Plasm Accelerates Vertebrate Evolution. Science. 344(6180). 200–203. 37 indexed citations
16.
Chen, Yi‐Hsien, et al.. (2010). A conserved mechanism for vertebrate mesoderm specification in urodele amphibians and mammals. Developmental Biology. 343(1-2). 138–152. 26 indexed citations
17.
Bokes, Pavol, John R. King, & Matthew Loose. (2009). A bistable genetic switch which does not require high co-operativity at the promoter: a two-timescale model for the PU.1-GATA-1 interaction. Mathematical Medicine and Biology A Journal of the IMA. 26(2). 117–132. 15 indexed citations
18.
Middleton, A., John R. King, & Matthew Loose. (2009). Bistability in a model of mesoderm and anterior mesendoderm specification in Xenopus laevis. Journal of Theoretical Biology. 260(1). 41–55. 7 indexed citations
19.
Loose, Matthew, et al.. (2007). Evolutionary modelling of feed forward loops in gene regulatory networks. Biosystems. 91(1). 231–244. 11 indexed citations
20.
Patient, Roger, et al.. (2006). Genetic regulatory networks programming hematopoietic stem cells and erythroid lineage specification. Developmental Biology. 294(2). 525–540. 122 indexed citations

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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