Mary L. Thomas

2.2k total citations
53 papers, 1.7k citations indexed

About

Mary L. Thomas is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mary L. Thomas has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 15 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mary L. Thomas's work include Estrogen and related hormone effects (12 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Vitamin D Research Studies (8 papers). Mary L. Thomas is often cited by papers focused on Estrogen and related hormone effects (12 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Vitamin D Research Studies (8 papers). Mary L. Thomas collaborates with scholars based in United States, Czechia and Denmark. Mary L. Thomas's co-authors include Kathryn A. Cunningham, Andrea M. Norfleet, Cheryl S. Watson, David Snadden, Wenxia Zhou, Patricia K. Seitz, Bahiru Gametchu, Stacy L. Sell, Xiaomeng Xu and Leonard R. Forte and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Blood.

In The Last Decade

Mary L. Thomas

53 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary L. Thomas United States 22 473 471 309 279 226 53 1.7k
P. Fioretti Italy 27 423 0.9× 241 0.5× 772 2.5× 162 0.6× 429 1.9× 133 2.2k
G. Tolis Greece 31 238 0.5× 487 1.0× 1.6k 5.1× 273 1.0× 257 1.1× 137 3.4k
Rosa Maria Corbo Italy 27 524 1.1× 519 1.1× 397 1.3× 135 0.5× 151 0.7× 84 2.2k
B. L. Pimstone South Africa 33 243 0.5× 619 1.3× 1.3k 4.3× 388 1.4× 116 0.5× 104 3.1k
Henry G. Fein United States 21 164 0.3× 333 0.7× 1.1k 3.4× 149 0.5× 109 0.5× 38 2.0k
Jean‐Paul Oudinet France 18 139 0.3× 482 1.0× 116 0.4× 143 0.5× 106 0.5× 27 1.4k
Inga Prokopenko United Kingdom 17 611 1.3× 663 1.4× 246 0.8× 79 0.3× 136 0.6× 55 1.7k
Sigbritt Werner Sweden 26 274 0.6× 598 1.3× 1.1k 3.7× 356 1.3× 105 0.5× 101 2.7k
Nina Mononen Finland 30 501 1.1× 954 2.0× 381 1.2× 176 0.6× 85 0.4× 88 2.4k
M. Peracchi Italy 30 149 0.3× 293 0.6× 513 1.7× 126 0.5× 120 0.5× 93 2.5k

Countries citing papers authored by Mary L. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Mary L. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary L. Thomas. 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 Mary L. Thomas. The network helps show where Mary L. Thomas may publish in the future.

Co-authorship network of co-authors of Mary L. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Mary L. Thomas. A scholar is included among the top collaborators of Mary L. Thomas 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 Mary L. Thomas. Mary L. Thomas 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.
O’Connell, Nathaniel S., Fengmin Zhao, Ju‐Whei Lee, et al.. (2023). Importance of Low- and Moderate-Grade Adverse Events in Patients' Treatment Experience and Treatment Discontinuation: An Analysis of the E1912 Trial. Journal of Clinical Oncology. 42(3). 266–272. 23 indexed citations
2.
Herin, David V., Marcy J. Bubar, Patricia K. Seitz, et al.. (2013). Elevated Expression of Serotonin 5-HT2A Receptors in the Rat Ventral Tegmental Area Enhances Vulnerability to the Behavioral Effects of Cocaine. Frontiers in Psychiatry. 4. 2–2. 14 indexed citations
3.
Sell, Stacy L., Rebecca M. Craft, Patricia K. Seitz, et al.. (2008). Estradiol–sertraline synergy in ovariectomized rats. Psychoneuroendocrinology. 33(8). 1051–1060. 48 indexed citations
4.
Seitz, Patricia K., et al.. (2006). Serotonin Regulation of Serotonin Uptake in RN46A Cells. Cellular and Molecular Neurobiology. 26(4-6). 977–985. 5 indexed citations
5.
Watson, Cheryl S., et al.. (2006). Estradiol effects on the dopamine transporter – protein levels, subcellular location, and function. PubMed. 1. 5–5. 45 indexed citations
6.
Sell, Stacy L., et al.. (2005). Estrous cycle influence on individual differences in the response to novelty and cocaine in female rats. Behavioural Brain Research. 161(1). 69–74. 38 indexed citations
7.
Bubar, Marcy J., Patricia K. Seitz, Mary L. Thomas, & Kathryn A. Cunningham. (2005). Validation of a selective serotonin 5-HT2C receptor antibody for utilization in fluorescence immunohistochemistry studies. Brain Research. 1063(2). 105–113. 24 indexed citations
8.
Seitz, Patricia K., et al.. (2004). Intracellular signaling involved in estrogen regulation of serotonin reuptake. Molecular and Cellular Endocrinology. 226(1-2). 33–42. 43 indexed citations
9.
Zhou, Wenxia, Kathryn A. Cunningham, & Mary L. Thomas. (2003). Estrogen effects on the hyperactivity induced by (+)-MDMA and cocaine in female rats.. Behavioral Neuroscience. 117(1). 84–94. 1 indexed citations
10.
Cunningham, Kathryn A., et al.. (2003). Estrogen effects on the hyperactivity induced by (+)-MDMA and cocaine in female rats.. Behavioral Neuroscience. 117(1). 84–94. 6 indexed citations
11.
Zhou, Wenxia, Kathryn A. Cunningham, & Mary L. Thomas. (2002). Estrogen regulation of gene expression in the brain: a possible mechanism altering the response to psychostimulants in female rats. Molecular Brain Research. 100(1-2). 75–83. 109 indexed citations
12.
Lertratanangkoon, K., et al.. (1997). Alterations of DNA methylation by glutathione depletion. Cancer Letters. 120(2). 149–156. 73 indexed citations
13.
Stewart, LaMonica V. & Mary L. Thomas. (1997). Retinoids Differentially Regulate the Proliferation of Colon Cancer Cell Lines. Experimental Cell Research. 233(2). 321–329. 22 indexed citations
14.
Xu, Xiaomeng & Mary L. Thomas. (1995). Biphasic actions of estrogen on colon cancer cell growth: possible mediation by high- and low-affinity estrogen binding sites. Endocrine. 3(9). 661–665. 11 indexed citations
15.
Jeng, Yow-Jiun, Cheryl S. Watson, & Mary L. Thomas. (1994). Identification of Vitamin D-Stimulated Alkaline Phosphatase in IEC-6 Cells, a Rat Small Intestine Crypt Cell Line. Experimental Cell Research. 212(2). 338–343. 17 indexed citations
16.
Thomas, Mary L.. (1993). The presence of functional estrogen receptors in intestinal epithelial cells. Endocrinology. 132(1). 426–430. 22 indexed citations
17.
Bruns, M E, et al.. (1992). Regulation of Duodenal Insulin-Like Growth Factor I and Active Calcium Transport by Ovariectomy in Female Rats. Experimental Biology and Medicine. 200(4). 528–535. 23 indexed citations
18.
Thomas, Mary L., et al.. (1992). Testosterone Alters Duodenal Calcium Transport and Longitudinal Bone Growth Rate in Parallel in the Male Rat. Experimental Biology and Medicine. 200(4). 536–541. 15 indexed citations
20.
Simmons, David J., Louis S. Kidder, & Mary L. Thomas. (1990). Effect of cortisone on cells at the bone-marrow interface. Calcified Tissue International. 46(5). 327–332. 9 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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