Matthew J. Ford

1.3k total citations
30 papers, 870 citations indexed

About

Matthew J. Ford is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew J. Ford has authored 30 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew J. Ford's work include Gastrointestinal motility and disorders (5 papers), Reproductive Biology and Fertility (5 papers) and Renal and related cancers (5 papers). Matthew J. Ford is often cited by papers focused on Gastrointestinal motility and disorders (5 papers), Reproductive Biology and Fertility (5 papers) and Renal and related cancers (5 papers). Matthew J. Ford collaborates with scholars based in United Kingdom, Canada and United States. Matthew J. Ford's co-authors include M. A. Eastwood, Richard L. Mort, J. Eastwood, P. Miller, Ian J. Jackson, Margaret Keighren, Christian A. Yates, Pleasantine Mill, Emma A. Hall and Atsushi Miyawaki and has published in prestigious journals such as Cancer Research, Gut and Journal of Bacteriology.

In The Last Decade

Matthew J. Ford

29 papers receiving 836 citations

Peers

Matthew J. Ford

GENET

GASTR

PHEOH

Fahad Zadjali Oman

Natalie A. Terry United States

Peter Simpson United States

Yizhou Ye United States

Helle Bach Søndergaard Denmark

Ajay Sharma United States

Xiuqing Zhang China

Brad J. Geddes United States

Dirk Gerdes United States

Ann M. Simpson Australia

Fahad Zadjali Oman

Matthew J. Ford

540 ×1.4

156 ×0.8

GENET

35 ×0.2

GASTR

36 ×0.3

40 ×0.5

PHEOH

Citations per year, relative to Matthew J. Ford Matthew J. Ford (= 1×) peers Fahad Zadjali

Countries citing papers authored by Matthew J. Ford

Since Specialization

Citations

This map shows the geographic impact of Matthew J. Ford'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. Ford 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. Ford more than expected).

Fields of papers citing papers by Matthew J. Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Ford, Matthew J., et al.. (2023). CD133/Prom1 marks proximal mouse oviduct epithelial progenitors and adult epithelial cells with a low generative capacity. Biology Open. 12(9). 4 indexed citations

Ford, Matthew J., et al.. (2022). Protocol to generate mouse oviduct epithelial organoids for viral transduction and whole-mount 3D imaging. STAR Protocols. 3(1). 101164–101164. 6 indexed citations

Ford, Matthew J. & Yojiro Yamanaka. (2022). Reprogramming Mouse Oviduct Epithelial Cells Using In Vivo Electroporation and CRISPR/Cas9-Mediated Genetic Manipulation. Methods in molecular biology. 2429. 367–377. 6 indexed citations

Ford, Matthew J., Hollian R. Phillipps, Mary Y. Lorenson, et al.. (2022). Multiple cell types in the oviduct express the prolactin receptor. FASEB BioAdvances. 4(7). 485–504. 4 indexed citations

Ford, Matthew J., et al.. (2021). Live Imaging and Analysis of Cilia and Cell Cycle Dynamics with the Arl13bCerulean-Fucci2a Biosensor and Fucci Tools. Methods in molecular biology. 2329. 291–309. 2 indexed citations

Ford, Matthew J., Katie Teng, Nobuko Yamanaka, et al.. (2021). Anatomical and cellular heterogeneity in the mouse oviduct—its potential roles in reproduction and preimplantation development. Biology of Reproduction. 104(6). 1249–1261. 21 indexed citations

Teng, Katie, Matthew J. Ford, Yuqi Li, et al.. (2021). Modeling High-Grade Serous Ovarian Carcinoma Using a Combination of In Vivo Fallopian Tube Electroporation and CRISPR-Cas9–Mediated Genome Editing. Cancer Research. 81(20). 5147–5160. 13 indexed citations

Ford, Matthew J., Alain Pacis, Yu Chang Wang, et al.. (2021). Oviduct epithelial cells constitute two developmentally distinct lineages that are spatially separated along the distal-proximal axis. Cell Reports. 36(10). 109677–109677. 35 indexed citations

Ford, Matthew J., Patricia L. Yeyati, Girish R. Mali, et al.. (2018). A Cell/Cilia Cycle Biosensor for Single-Cell Kinetics Reveals Persistence of Cilia after G1/S Transition Is a General Property in Cells and Mice. Developmental Cell. 47(4). 509–523.e5. 70 indexed citations

10.

Ford, Matthew J., et al.. (2018). . arXiv (Cornell University). 15 indexed citations

11.

Yates, Christian A., Matthew J. Ford, & Richard L. Mort. (2017). A Multi-stage Representation of Cell Proliferation as a Markov Process. Bulletin of Mathematical Biology. 79(12). 2905–2928. 50 indexed citations

12.

Glover, James D., Kirsty L. Wells, Franziska Matthäus, et al.. (2017). Hierarchical patterning modes orchestrate hair follicle morphogenesis. PLoS Biology. 15(7). e2002117–e2002117. 102 indexed citations

13.

Baker, Ruth E., et al.. (2017). Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process. npj Systems Biology and Applications. 3(1). 9–9. 18 indexed citations

14.

Mort, Richard L., Matthew J. Ford, Asako Sakaue‐Sawano, et al.. (2014). Fucci2a:A bicistronic cell cycle reporter that allows Cre mediated tissue specific expression in mice. Cell Cycle. 13(17). 2681–2696. 89 indexed citations

15.

Hall, Emma A., Margaret Keighren, Matthew J. Ford, et al.. (2013). Acute Versus Chronic Loss of Mammalian Azi1/Cep131 Results in Distinct Ciliary Phenotypes. PLoS Genetics. 9(12). e1003928–e1003928. 94 indexed citations

16.

Bray, Benjamin & Matthew J. Ford. (2009). Management of patients with irritable bowel syndrome. The Journal of the Royal College of Physicians of Edinburgh. 39(1). 40–42. 1 indexed citations

17.

Rordorf, Christiane, Norma Kellett, Stuart Mair, et al.. (2003). Gastroduodenal tolerability of lumiracoxib vs. placebo and naproxen: a pilot endoscopic study in healthy male subjects. Alimentary Pharmacology & Therapeutics. 18(5). 533–541. 38 indexed citations

18.

Nyhlin, Henry, Matthew J. Ford, J. Eastwood, et al.. (1993). Non-alimentary aspects of the irritable bowel syndrome. Journal of Psychosomatic Research. 37(2). 155–162. 41 indexed citations

19.

Ford, Matthew J., et al.. (1989). Chronic active hepatitis associated with diclofenac sodium therapy. International Journal of Clinical Practice. 43(3). 125–126. 8 indexed citations

20.

Ford, Matthew J., et al.. (1989). Chronic active hepatitis associated with diclofenac sodium therapy.. PubMed. 43(3). 125–6. 10 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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