Matthew Cotten

19.0k total citations · 3 hit papers
175 papers, 12.4k citations indexed

About

Matthew Cotten is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Matthew Cotten has authored 175 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 67 papers in Infectious Diseases and 54 papers in Genetics. Recurrent topics in Matthew Cotten's work include Virus-based gene therapy research (50 papers), RNA Interference and Gene Delivery (36 papers) and Viral gastroenteritis research and epidemiology (33 papers). Matthew Cotten is often cited by papers focused on Virus-based gene therapy research (50 papers), RNA Interference and Gene Delivery (36 papers) and Viral gastroenteritis research and epidemiology (33 papers). Matthew Cotten collaborates with scholars based in United Kingdom, Austria and Netherlands. Matthew Cotten's co-authors include Ernst Wagner, Max L. Birnstiel, Kurt Zatloukal, Martin Zenke, David T. Curiel, Mediyha Saltik, Paul Kellam, Karl Mechtler, Christian Plank and Hartmut Beug and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew Cotten

173 papers receiving 12.0k 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.

Hospital Outbreak of Middle East Respiratory Syndrome Coronavirus

2013 892 citations Matthew Cotten, Simon J. Watson et al. profile →
Transferrin-polycation conjugates as carriers for DNA uptake into cells.

1990 527 citations Matthew Cotten et al. Proceedings of the National Academy of Sciences profile →
Influenza virus hemagglutinin HA-2 N-terminal fusogenic peptides augment gene transfer by transferrin-polylysine-DNA complexes: toward a synthetic virus-like gene-transfer vehicle.

1992 515 citations Matthew Cotten 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
Matthew Cotten United Kingdom	58	7.5k	4.0k	3.2k	1.3k	1.3k	175	12.4k
Wayne A. Marasco United States	55	4.2k 0.6×	1.1k 0.3×	3.8k 1.2×	2.7k 2.0×	2.2k 1.7×	165	11.3k
David A. Jans Australia	75	11.3k 1.5×	3.0k 0.7×	4.6k 1.4×	1.8k 1.3×	2.1k 1.6×	369	19.5k
Judith M. White United States	69	7.7k 1.0×	2.4k 0.6×	4.1k 1.3×	2.1k 1.6×	4.9k 3.9×	162	17.0k
Gary R. Whittaker United States	57	3.7k 0.5×	1.9k 0.5×	6.9k 2.2×	1.9k 1.4×	3.2k 2.5×	167	12.4k
Gale Smith United States	57	6.1k 0.8×	1.4k 0.3×	2.7k 0.9×	1.8k 1.4×	2.7k 2.1×	115	10.7k
Norbert Pardi United States	40	5.1k 0.7×	1.1k 0.3×	3.0k 1.0×	2.5k 1.9×	1.0k 0.8×	82	8.5k
Wolfgang Garten Germany	59	2.9k 0.4×	1.4k 0.4×	4.3k 1.4×	1.7k 1.3×	4.8k 3.8×	131	10.3k
Karen Mossman Canada	59	2.4k 0.3×	1.7k 0.4×	1.9k 0.6×	3.9k 2.9×	3.0k 2.4×	155	8.6k
Kathryn V. Holmes United States	56	1.9k 0.3×	1.8k 0.4×	7.1k 2.3×	1.3k 1.0×	1.9k 1.5×	153	11.2k
Michael M. C. Lai United States	65	3.5k 0.5×	1.5k 0.4×	3.8k 1.2×	1.5k 1.1×	4.1k 3.3×	174	12.2k

Countries citing papers authored by Matthew Cotten

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Cotten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Cotten

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Orton, Richard, et al.. (2024). Mutational signature dynamics indicate SARS-CoV-2’s evolutionary capacity is driven by host antiviral molecules. PLoS Computational Biology. 20(1). e1011795–e1011795. 9 indexed citations

Makori, Timothy, Joel L. Bargul, Arnold W. Lambisia, et al.. (2023). Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus vaccine introduction, 2012–8. Virus Evolution. 9(1). vead025–vead025. 2 indexed citations

Cotten, Matthew, et al.. (2023). Optimisation and Validation of a conventional ELISA and cut-offs for detecting and quantifying anti-SARS-CoV-2 Spike, RBD, and Nucleoprotein IgG, IgM, and IgA antibodies in Uganda. Frontiers in Immunology. 14. 1113194–1113194. 23 indexed citations

Phan, My V. T., Daniel Lule Bugembe, Tiffany Tang, et al.. (2022). Spike Protein Cleavage-Activation in the Context of the SARS-CoV-2 P681R Mutation: an Analysis from Its First Appearance in Lineage A.23.1 Identified in Uganda. Microbiology Spectrum. 10(4). e0151422–e0151422. 26 indexed citations

Cotten, Matthew, David L. Robertson, & My V. T. Phan. (2021). Unique protein features of SARS-CoV-2 relative to other Sarbecoviruses. Virus Evolution. 7(2). veab067–veab067. 2 indexed citations

Roach, Michael J., Adrian Cantu, Matthew Cotten, et al.. (2021). No Evidence Known Viruses Play a Role in the Pathogenesis of Onchocerciasis-Associated Epilepsy. An Explorative Metagenomic Case-Control Study. Pathogens. 10(7). 787–787. 7 indexed citations

Bugembe, Daniel Lule, My V. T. Phan, Isaac Ssewanyana, et al.. (2021). Emergence and spread of a SARS-CoV-2 lineage A variant (A.23.1) with altered spike protein in Uganda. Nature Microbiology. 6(8). 1094–1101. 47 indexed citations

Cotten, Matthew, et al.. (2021). Alternate primers for whole-genome SARS-CoV-2 sequencing. Virus Evolution. 7(1). veab006–veab006. 16 indexed citations

Masembe, Charles, My V. T. Phan, David L. Robertson, & Matthew Cotten. (2020). Increased resolution of African swine fever virus genome patterns based on profile HMMs of protein domains. Virus Evolution. 6(2). veaa044–veaa044. 8 indexed citations

10.

Kamau, Everlyn, Zaydah R. de Laurent, My V. T. Phan, et al.. (2020). Whole genome sequencing and phylogenetic analysis of human metapneumovirus strains from Kenya and Zambia. BMC Genomics. 21(1). 5–5. 4 indexed citations

11.

Kinsella, Cormac M., Aldert Bart, Martin Deijs, et al.. (2020). Entamoeba and Giardia parasites implicated as hosts of CRESS viruses. Nature Communications. 11(1). 4620–4620. 42 indexed citations

12.

Canuti, Marta, Cathy V. Williams, Selena M. Sagan, et al.. (2018). Virus discovery reveals frequent infection by diverse novel members of the Flaviviridae in wild lemurs. Archives of Virology. 164(2). 509–522. 8 indexed citations

13.

Kiyuka, Patience, Charles N. Agoti, Patrick K. Munywoki, et al.. (2018). Human Coronavirus NL63 Molecular Epidemiology and Evolutionary Patterns in Rural Coastal Kenya. The Journal of Infectious Diseases. 217(11). 1728–1739. 69 indexed citations

14.

Munnink, Bas B. Oude, My V. T. Phan, Peter Simmonds, et al.. (2017). Characterization of Posa and Posa-like virus genomes in fecal samples from humans, pigs, rats, and bats collected from a single location in Vietnam. Virus Evolution. 3(2). vex022–vex022. 29 indexed citations

15.

Palser, Anne, Nicholas Grayson, Robert E. White, et al.. (2015). Genome Diversity of Epstein-Barr Virus from Multiple Tumor Types and Normal Infection. Journal of Virology. 89(10). 5222–5237. 187 indexed citations

16.

Farsani, Seyed Mohammad Jazaeri, Bas B. Oude Munnink, Marta Canuti, et al.. (2015). Identification of a Novel Human Rhinovirus C Type by Antibody Capture VIDISCA-454. Viruses. 7(1). 239–251. 2 indexed citations

17.

Tienen, Carla van, Samuel McConkey, Thushan I. de Silva, et al.. (2011). Maternal Proviral Load and Vertical Transmission of Human T Cell Lymphotropic Virus Type 1 in Guinea-Bissau. AIDS Research and Human Retroviruses. 28(6). 584–590. 10 indexed citations

18.

Godl, Klaus, Oliver J. Gruß, Jan Eickhoff, et al.. (2005). Proteomic Characterization of the Angiogenesis Inhibitor SU6668 Reveals Multiple Impacts on Cellular Kinase Signaling. Cancer Research. 65(15). 6919–6926. 84 indexed citations

19.

Brehmer, Dirk, Zoltán Greff, Klaus Godl, et al.. (2005). Cellular Targets of Gefitinib. Cancer Research. 65(2). 379–382. 199 indexed citations

20.

Godl, Klaus, Josef Wissing, Alexander Kurtenbach, et al.. (2003). An efficient proteomics method to identify the cellular targets of protein kinase inhibitors. Proceedings of the National Academy of Sciences. 100(26). 15434–15439. 283 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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