Matthew M. Ford

3.3k total citations
64 papers, 2.7k citations indexed

About

Matthew M. Ford is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Matthew M. Ford has authored 64 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 14 papers in Behavioral Neuroscience. Recurrent topics in Matthew M. Ford's work include Neurotransmitter Receptor Influence on Behavior (22 papers), Neuroscience and Neuropharmacology Research (22 papers) and Stress Responses and Cortisol (14 papers). Matthew M. Ford is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (22 papers), Neuroscience and Neuropharmacology Research (22 papers) and Stress Responses and Cortisol (14 papers). Matthew M. Ford collaborates with scholars based in United States, Australia and United Kingdom. Matthew M. Ford's co-authors include Deborah A. Finn, John C. Crabbe, Naomi Yoneyama, Herman H. Samson, J. Charles Eldridge, Tamara J. Phillips, Andrea Murillo, Ethan H. Beckley, Andrea M. Fretwell and Theodore Garland and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Matthew M. Ford

62 papers receiving 2.7k citations

Peers

Matthew M. Ford

CMN

PHYSI

Sabine M. Hölter Germany

Deveroux Ferguson United States

Freddy Jeanneteau France

Miriam A. Vogt Germany

Wenhua Liu United States

Daniel S. Lorrain United States

Maria C. Morale Italy

E J Nestler United States

Céline Dubé United States

Árpád Dobolyi Hungary

Sabine M. Hölter Germany

Matthew M. Ford

1.5k ×1.1

CMN

1.0k ×1.0

367 ×0.7

437 ×1.2

PHYSI

443 ×1.5

Citations per year, relative to Matthew M. Ford Matthew M. Ford (= 1×) peers Sabine M. Hölter

Countries citing papers authored by Matthew M. Ford

Since Specialization

Citations

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

Fields of papers citing papers by Matthew M. Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Ford. A scholar is included among the top collaborators of Matthew M. 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 M. Ford. Matthew M. 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 M., Victor S. Van Laar, Katherine M. Holleran, et al.. (2023). GDNF gene therapy for alcohol use disorder in male non-human primates. Nature Medicine. 29(8). 2030–2040. 12 indexed citations

Eps, Andrew W. van, et al.. (2022). Evaluation of locking compression plate fixation of the distal phalanx to the hoof wall as a potential therapy for laminitis. Equine Veterinary Journal. 55(4). 707–716. 2 indexed citations

Carlson, Verginia C. Cuzon, et al.. (2019). Modulation of Gpr39, a G-protein coupled receptor associated with alcohol use in non-human primates, curbs ethanol intake in mice. Neuropsychopharmacology. 44(6). 1103–1113. 18 indexed citations

Dozier, Brandy L., et al.. (2019). Chronic ethanol drinking increases during the luteal menstrual cycle phase in rhesus monkeys: implication of progesterone and related neurosteroids. Psychopharmacology. 236(6). 1817–1828. 16 indexed citations

Masser, Dustin R., Niran Hadad, Hunter L. Porter, et al.. (2017). Sexually divergent DNA methylation patterns with hippocampal aging. Aging Cell. 16(6). 1342–1352. 53 indexed citations

Mangold, Colleen A., Benjamin Wronowski, Mei Du, et al.. (2017). Sexually divergent induction of microglial-associated neuroinflammation with hippocampal aging. Journal of Neuroinflammation. 14(1). 141–141. 143 indexed citations

Giardino, William J., Monique L. Smith, Matthew M. Ford, et al.. (2017). Control of chronic excessive alcohol drinking by genetic manipulation of the Edinger–Westphal nucleus urocortin-1 neuropeptide system. Translational Psychiatry. 7(1). e1021–e1021. 23 indexed citations

Hadad, Niran, Dustin R. Masser, Sreemathi Logan, et al.. (2016). Absence of genomic hypomethylation or regulation of cytosine-modifying enzymes with aging in male and female mice. Epigenetics & Chromatin. 9(1). 30–30. 38 indexed citations

Snelling, Christopher, Matthew M. Ford, Debra K. Cozzoli, et al.. (2014). Quantification of ten neuroactive steroids in plasma in Withdrawal Seizure-Prone and -Resistant mice during chronic ethanol withdrawal. Psychopharmacology. 231(17). 3401–3414. 23 indexed citations

10.

Ford, Matthew M.. (2014). Applications of schedule-induced polydipsia in rodents for the study of an excessive ethanol intake phenotype. Alcohol. 48(3). 265–276. 15 indexed citations

11.

Ford, Matthew M., et al.. (2012). Discrimination of ethanol–nicotine drug mixtures in mice: dual interactive mechanisms of overshadowing and potentiation. Psychopharmacology. 224(4). 537–548. 14 indexed citations

12.

Tanchuck, Michelle A., Matthew M. Ford, Joel G. Hashimoto, et al.. (2009). Selected Line Difference in the Effects of Ethanol Dependence and Withdrawal on Allopregnanolone Levels and 5α‐Reductase Enzyme Activity and Expression. Alcoholism Clinical and Experimental Research. 33(12). 2077–2087. 15 indexed citations

13.

Ford, Matthew M., et al.. (2009). The influence of mecamylamine on ethanol and sucrose self-administration. Neuropharmacology. 57(3). 250–258. 31 indexed citations

14.

Tanchuck, Michelle A., Matthew M. Ford, John C. Crabbe, et al.. (2008). The neurosteroid environment in the hippocampus exerts bi-directional effects on seizure susceptibility in mice. Brain Research. 1243. 113–123. 19 indexed citations

15.

Ford, Matthew M., Andrea M. Fretwell, Gregory P. Mark, & Deborah A. Finn. (2007). Influence of reinforcement schedule on ethanol consumption patterns in non-food restricted male C57BL/6J mice. Alcohol. 41(1). 21–29. 21 indexed citations

16.

Finn, Deborah A., et al.. (2006). A New Look at the 5?-Reductase Inhibitor Finasteride. CNS Drug Reviews. 12(1). 53–76. 151 indexed citations

17.

Ford, Matthew M., et al.. (2005). Neurosteroid Modulators of GABAA Receptors Differentially Modulate Ethanol Intake Patterns in Male C57BL/6J Mice. Alcoholism Clinical and Experimental Research. 29(9). 1630–1640. 81 indexed citations

18.

Ford, Matthew M., et al.. (2005). Treatment with and withdrawal from finasteride alter ethanol intake patterns in male C57BL/6J mice: Potential role of endogenous neurosteroids?. Alcohol. 37(1). 23–33. 54 indexed citations

19.

Finn, Deborah A., et al.. (2004). Sex differences in the effect of ethanol injection and consumption on brain allopregnanolone levels in C57BL/6 mice. Neuroscience. 123(4). 813–819. 84 indexed citations

20.

Bartlett, Perry F., Trevor J. Kilpatrick, Paul Talman, et al.. (1995). REGULATION OF NEURAL PRECURSOR DIFFERENTIATION IN THE EMBRYONIC AND ADULT FOREBRAIN. Clinical and Experimental Pharmacology and Physiology. 22(8). 559–562. 13 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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