Matthew J. Dorman

8.5k total citations
37 papers, 840 citations indexed

About

Matthew J. Dorman is a scholar working on Endocrinology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Matthew J. Dorman has authored 37 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, 11 papers in Molecular Biology and 11 papers in Molecular Medicine. Recurrent topics in Matthew J. Dorman's work include Vibrio bacteria research studies (13 papers), Antibiotic Resistance in Bacteria (11 papers) and Salmonella and Campylobacter epidemiology (10 papers). Matthew J. Dorman is often cited by papers focused on Vibrio bacteria research studies (13 papers), Antibiotic Resistance in Bacteria (11 papers) and Salmonella and Campylobacter epidemiology (10 papers). Matthew J. Dorman collaborates with scholars based in United Kingdom, United States and Ireland. Matthew J. Dorman's co-authors include Charles J. Dorman, Francesca L. Short, Julian Parkhill, Nicholas R. Thomson, David Goulding, Theresa Feltwell, Ajay Rana, Hidayatullah G. Munshi, Sandeep Kumar and Carolina Torres and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Matthew J. Dorman

37 papers receiving 833 citations

Peers

Matthew J. Dorman
Lynne R. Prost United States
Dario Lehoux United States
Jennifer E. Oyler United States
Marcin Grabowicz United States
Anna Sintsova United States
Peter K. Brown Australia
Lynne R. Prost United States
Matthew J. Dorman
Citations per year, relative to Matthew J. Dorman Matthew J. Dorman (= 1×) peers Lynne R. Prost

Countries citing papers authored by Matthew J. Dorman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Dorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Dorman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Dorman. A scholar is included among the top collaborators of Matthew J. Dorman 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 J. Dorman. Matthew J. Dorman 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.
Santana-Codina, Naiara, Qijia Yu, Cláudia Campos, et al.. (2025). De novo pyrimidine biosynthesis inhibition synergizes with BCL-XL targeting in pancreatic cancer. Nature Communications. 16(1). 6987–6987. 1 indexed citations
2.
Lassalle, Florent, Elisabeth Njamkepo, Matthew J. Dorman, et al.. (2023). Genomic epidemiology reveals multidrug resistant plasmid spread between Vibrio cholerae lineages in Yemen. Nature Microbiology. 8(10). 1787–1798. 21 indexed citations
3.
Dorman, Charles J. & Matthew J. Dorman. (2022). Physiological Robustness of Model Gram-Negative Bacteria in Response to Genome Rewiring. Microbial Physiology. 32(5-6). 158–176. 3 indexed citations
4.
Blackwell, Grace A., et al.. (2021). gbpA and chiA genes are not uniformly distributed amongst diverse Vibrio cholerae. Microbial Genomics. 7(6). 3 indexed citations
5.
Enright, Mark C., David Negus, Matthew J. Dorman, et al.. (2021). Characterisation of Bacteriophage-Encoded Depolymerases Selective for Key Klebsiella pneumoniae Capsular Exopolysaccharides. Frontiers in Cellular and Infection Microbiology. 11. 686090–686090. 23 indexed citations
6.
Borowicz, Stanley, Daniel R. Principe, Matthew J. Dorman, et al.. (2021). HAI-1 is an independent predictor of lung cancer mortality and is required for M1 macrophage polarization. PLoS ONE. 16(6). e0252197–e0252197. 6 indexed citations
7.
Dorman, Matthew J., Daryl Domman, Charlotte Tolley, et al.. (2020). Supporting data for "Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae". London School of Hygiene & Tropical Medicine. 1 indexed citations
8.
Dorman, Matthew J., Daryl Domman, Charlotte Tolley, et al.. (2020). Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae. Nature Communications. 11(1). 4918–4918. 13 indexed citations
9.
Feltwell, Theresa, Matthew J. Dorman, David Goulding, Julian Parkhill, & Francesca L. Short. (2019). Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient. Journal of Visualized Experiments. 4 indexed citations
10.
Feltwell, Theresa, Matthew J. Dorman, David Goulding, Julian Parkhill, & Francesca L. Short. (2019). Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient. Journal of Visualized Experiments. 11 indexed citations
11.
Ellington, Matthew J., Eva Heinz, Alexander M. Wailan, et al.. (2019). Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center. Genome biology. 20(1). 184–184. 18 indexed citations
12.
Dorman, Matthew J., Daryl Domman, Muhammad Ikhtear Uddin, et al.. (2019). High quality reference genomes for toxigenic and non-toxigenic Vibrio cholerae serogroup O139. Scientific Reports. 9(1). 5865–5865. 17 indexed citations
13.
Principe, Daniel R., Sandeep Kumar, Alex Park, et al.. (2019). Abstract A20: Gemcitabine primes the pancreatic tumor microenvironment for second-line immunotherapy. Cancer Research. 79(24_Supplement). A20–A20. 1 indexed citations
14.
Dorman, Matthew J., Theresa Feltwell, David Goulding, Julian Parkhill, & Francesca L. Short. (2018). The Capsule Regulatory Network of Klebsiella pneumoniae Defined by density-TraDISort. mBio. 9(6). 100 indexed citations
15.
Principe, Daniel R., Alex Park, Matthew J. Dorman, et al.. (2018). TGFβ Blockade Augments PD-1 Inhibition to Promote T-Cell–Mediated Regression of Pancreatic Cancer. Molecular Cancer Therapeutics. 18(3). 613–620. 98 indexed citations
16.
Thomson, Nicholas R., Yoshitoshi Ogura, Daryl Domman, et al.. (2018). International Symposium. Nippon Saikingaku Zasshi. 73(1). 3–5. 1 indexed citations
17.
Dorman, Matthew J. & Charles J. Dorman. (2018). Regulatory Hierarchies Controlling Virulence Gene Expression in Shigella flexneri and Vibrio cholerae. Frontiers in Microbiology. 9. 2686–2686. 28 indexed citations
18.
Principe, Daniel R., Nana Haahr Overgaard, Alex Park, et al.. (2018). KRASG12D and TP53R167H Cooperate to Induce Pancreatic Ductal Adenocarcinoma in Sus scrofa Pigs. Scientific Reports. 8(1). 12548–12548. 23 indexed citations
19.
Domman, Daryl, Marie‐Laure Quilici, Matthew J. Dorman, et al.. (2017). Integrated view of Vibrio cholerae in the Americas. Science. 358(6364). 789–793. 108 indexed citations
20.
Dorman, Charles J. & Matthew J. Dorman. (2016). DNA supercoiling is a fundamental regulatory principle in the control of bacterial gene expression. Biophysical Reviews. 8(S1). 89–100. 102 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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