Matthew T. Dyson

3.2k total citations
40 papers, 2.4k citations indexed

About

Matthew T. Dyson is a scholar working on Reproductive Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Matthew T. Dyson has authored 40 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Reproductive Medicine, 18 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Matthew T. Dyson's work include Endometriosis Research and Treatment (18 papers), Estrogen and related hormone effects (16 papers) and Reproductive System and Pregnancy (12 papers). Matthew T. Dyson is often cited by papers focused on Endometriosis Research and Treatment (18 papers), Estrogen and related hormone effects (16 papers) and Reproductive System and Pregnancy (12 papers). Matthew T. Dyson collaborates with scholars based in United States, Japan and Russia. Matthew T. Dyson's co-authors include Pulak R. Manna, Douglas M. Stocco, Serdar E. Bulun, Mary Ellen Pavone, D. M. Stocco, John S. Coon, Diana Monsivais, Masanori Ono, Antònia Navarro and Ping Yin and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Matthew T. Dyson

38 papers receiving 2.4k citations

Peers

Matthew T. Dyson
Marta Tesone Argentina
Kazuto Takayama United States
Huirong Xie United States
Carlos Telleria United States
Marta Tesone Argentina
Matthew T. Dyson
Citations per year, relative to Matthew T. Dyson Matthew T. Dyson (= 1×) peers Marta Tesone

Countries citing papers authored by Matthew T. Dyson

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Dyson'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 T. Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Dyson more than expected).

Fields of papers citing papers by Matthew T. Dyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew T. Dyson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Dyson. A scholar is included among the top collaborators of Matthew T. Dyson 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 T. Dyson. Matthew T. Dyson 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.
Miyazaki, K., Matthew T. Dyson, John S. Coon, et al.. (2018). Generation of Progesterone-Responsive Endometrial Stromal Fibroblasts from Human Induced Pluripotent Stem Cells: Role of the WNT/CTNNB1 Pathway. Stem Cell Reports. 11(5). 1136–1155. 47 indexed citations
2.
Bernardi, Lia A., et al.. (2018). The Essential Role of GATA6 in the Activation of Estrogen Synthesis in Endometriosis. Reproductive Sciences. 26(1). 60–69. 29 indexed citations
3.
Yin, Ping, Masanori Ono, Molly B. Moravek, et al.. (2015). Human Uterine Leiomyoma Stem/Progenitor Cells Expressing CD34 and CD49b Initiate Tumors In Vivo. The Journal of Clinical Endocrinology & Metabolism. 100(4). E601–E606. 69 indexed citations
4.
Dyson, Matthew T., Toshiyuki Kakinuma, Mary Ellen Pavone, et al.. (2015). Aberrant expression and localization of deoxyribonucleic acid methyltransferase 3B in endometriotic stromal cells. Fertility and Sterility. 104(4). 953–963.e2. 29 indexed citations
5.
Moravek, Molly B., Ping Yin, Masanori Ono, et al.. (2014). Ovarian steroids, stem cells and uterine leiomyoma: therapeutic implications. Human Reproduction Update. 21(1). 1–12. 115 indexed citations
6.
Mittal, Navdha, Saurabh Malpani, Matthew T. Dyson, et al.. (2014). Fenretinide: A Novel Treatment for Endometrial Cancer. PLoS ONE. 9(10). e110410–e110410. 16 indexed citations
7.
Su, Emily, Hong Xin, Ping Yin, et al.. (2014). Impaired Fetoplacental Angiogenesis in Growth-Restricted Fetuses With Abnormal Umbilical Artery Doppler Velocimetry Is Mediated by Aryl Hydrocarbon Receptor Nuclear Translocator (ARNT). The Journal of Clinical Endocrinology & Metabolism. 100(1). E30–E40. 33 indexed citations
8.
Dyson, Matthew T., Damian Roqueiro, Diana Monsivais, et al.. (2014). Genome-Wide DNA Methylation Analysis Predicts an Epigenetic Switch for GATA Factor Expression in Endometriosis. PLoS Genetics. 10(3). e1004158–e1004158. 157 indexed citations
9.
Monsivais, Diana, Matthew T. Dyson, John S. Coon, et al.. (2013). Ligand-Activated Peroxisome Proliferator-Activated Receptor β/δ Modulates Human Endometrial Cancer Cell Survival. Hormones and Cancer. 4(6). 358–370. 11 indexed citations
10.
Ono, Masanori, Wenan Qiang, Vanida A. Serna, et al.. (2012). Role of Stem Cells in Human Uterine Leiomyoma Growth. PLoS ONE. 7(5). e36935–e36935. 116 indexed citations
11.
Monsivais, Diana, Jeffrey D. Bray, Emily Su, et al.. (2012). Activated glucocorticoid and eicosanoid pathways in endometriosis. Fertility and Sterility. 98(1). 117–125. 29 indexed citations
12.
Pavone, Mary Ellen, et al.. (2011). Endometriosis expresses a molecular pattern consistent with decreased retinoid uptake, metabolism and action. Human Reproduction. 26(8). 2157–2164. 48 indexed citations
13.
Manna, Pulak R., Matthew T. Dyson, & D. M. Stocco. (2009). Regulation of the steroidogenic acute regulatory protein gene expression: present and future perspectives. Molecular Human Reproduction. 15(6). 321–333. 248 indexed citations
14.
Manna, Pulak R., Matthew T. Dyson, & Douglas M. Stocco. (2008). Role of basic leucine zipper proteins in transcriptional regulation of the steroidogenic acute regulatory protein gene. Molecular and Cellular Endocrinology. 302(1). 1–11. 46 indexed citations
15.
Dyson, Matthew T., Mariusz P. Kowalewski, Pulak R. Manna, & Douglas M. Stocco. (2008). The differential regulation of steroidogenic acute regulatory protein-mediated steroidogenesis by type I and type II PKA in MA-10 cells. Molecular and Cellular Endocrinology. 300(1-2). 94–103. 49 indexed citations
16.
Dyson, Matthew T., Mariusz P. Kowalewski, Pulak R. Manna, et al.. (2007). Mitochondrial A-Kinase Anchoring Protein 121 Binds Type II Protein Kinase A and Enhances Steroidogenic Acute Regulatory Protein-Mediated Steroidogenesis in MA-10 Mouse Leydig Tumor Cells1. Biology of Reproduction. 78(2). 267–277. 60 indexed citations
17.
Wang, XingJia, Chwan‐Li Shen, Matthew T. Dyson, et al.. (2005). Cyclooxygenase-2 Regulation of the Age-Related Decline in Testosterone Biosynthesis. Endocrinology. 146(10). 4202–4208. 81 indexed citations
18.
Dyson, Matthew T., et al.. (2002). Interaction between arachidonic acid and cAMP signaling pathways enhances steroidogenesis and StAR gene expression in MA-10 Leydig tumor cells. Molecular and Cellular Endocrinology. 188(1-2). 55–63. 49 indexed citations
19.
Stocco, Douglas M., Barbara J. Clark, Adam J. Reinhart, et al.. (2001). Elements involved in the regulation of the StAR gene. Molecular and Cellular Endocrinology. 177(1-2). 55–59. 68 indexed citations
20.
Findlay, J. K., Ann E. Drummond, Kara L. Britt, et al.. (2000). The roles of activins, inhibins and estrogen in early committed follicles. Molecular and Cellular Endocrinology. 163(1-2). 81–87. 50 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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