Marietta Vértes

622 total citations
45 papers, 495 citations indexed

About

Marietta Vértes is a scholar working on Genetics, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Marietta Vértes has authored 45 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Cellular and Molecular Neuroscience and 9 papers in Social Psychology. Recurrent topics in Marietta Vértes's work include Estrogen and related hormone effects (19 papers), Neuropeptides and Animal Physiology (12 papers) and Neuroendocrine regulation and behavior (9 papers). Marietta Vértes is often cited by papers focused on Estrogen and related hormone effects (19 papers), Neuropeptides and Animal Physiology (12 papers) and Neuroendocrine regulation and behavior (9 papers). Marietta Vértes collaborates with scholars based in Hungary, United States and United Kingdom. Marietta Vértes's co-authors include R.J.B. King, Sándor Kovács, J. Környei, Kálmán Kovács, L. Martin, Balázs Sümegi, James Smith, János Garai, Tamás Ördög and István Szabó and has published in prestigious journals such as Life Sciences, Fertility and Sterility and European Journal of Pharmacology.

In The Last Decade

Marietta Vértes

38 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marietta Vértes Hungary 11 171 163 148 119 70 45 495
Roberta B. Todd United States 12 49 0.3× 164 1.0× 111 0.8× 198 1.7× 52 0.7× 16 569
Virendra B. Mahesh United States 14 69 0.4× 99 0.6× 116 0.8× 102 0.9× 24 0.3× 20 435
Annie Cambourg France 8 129 0.8× 80 0.5× 95 0.6× 42 0.4× 105 1.5× 8 486
David E. Lennard United States 8 142 0.8× 163 1.0× 134 0.9× 279 2.3× 18 0.3× 9 645
M Munemura Japan 11 278 1.6× 123 0.8× 356 2.4× 83 0.7× 9 0.1× 27 737
A Poch United Kingdom 11 159 0.9× 83 0.5× 210 1.4× 261 2.2× 7 0.1× 13 526
M Motta Italy 9 84 0.5× 106 0.7× 108 0.7× 130 1.1× 5 0.1× 21 456
Karen F. Greif United States 11 186 1.1× 35 0.2× 117 0.8× 43 0.4× 35 0.5× 25 434
Davelene D. Israel United States 10 35 0.2× 56 0.3× 99 0.7× 210 1.8× 14 0.2× 10 506
Amanda D. Taylor United Kingdom 12 59 0.3× 54 0.3× 288 1.9× 72 0.6× 8 0.1× 17 553

Countries citing papers authored by Marietta Vértes

Since Specialization
Citations

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

Fields of papers citing papers by Marietta Vértes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marietta Vértes. 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 Marietta Vértes. The network helps show where Marietta Vértes may publish in the future.

Co-authorship network of co-authors of Marietta Vértes

This figure shows the co-authorship network connecting the top 25 collaborators of Marietta Vértes. A scholar is included among the top collaborators of Marietta Vértes 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 Marietta Vértes. Marietta Vértes 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.
Vecsey-Nagy, Milán, Ákos Varga‐Szemes, Márton Kolossváry, et al.. (2023). Calcium scoring on coronary computed angiography with photon-counting technology: predictors of performance. European Heart Journal - Cardiovascular Imaging. 24(Supplement_1). 2 indexed citations
2.
Kovács, Kálmán, et al.. (2007). Effect of estrogen and inhibition of phosphatidylinositol-3 kinase on Akt and FOXO1 in rat uterus. Steroids. 72(5). 422–428. 21 indexed citations
3.
Kovács, Kálmán, J. Környei, P Göcze, et al.. (2006). Phosphorylation of PTEN (phosphatase and tensin homologue deleted on chromosome ten) protein is enhanced in human fibromyomatous uteri. The Journal of Steroid Biochemistry and Molecular Biology. 103(2). 196–199. 19 indexed citations
5.
Környei, J., et al.. (2003). Developmental changes in the inhibition of cultured rat uterine cell proliferation by opioid peptides. Cell Proliferation. 36(3). 151–163. 6 indexed citations
6.
Környei, J., et al.. (2001). Anti-mitogenic action of opioid peptides on epidermal growth factor-stimulated uterine cells. European Journal of Pharmacology. 414(2-3). 155–163. 2 indexed citations
7.
Sándor, Attila, et al.. (2000). Epidermal growth factor influenced by opioid peptides in immature rat uterus. Journal of Endocrinological Investigation. 23(8). 502–508. 7 indexed citations
8.
Törőcsik, Beáta, et al.. (2000). Antiestrogenic effect of opioid peptides in rat uterus. The Journal of Steroid Biochemistry and Molecular Biology. 74(1-2). 25–32. 9 indexed citations
9.
Törőcsik, Beáta, et al.. (2000). Regulation of activator protein-1-DNA binding activity by opioid peptides in estrogen-sensitive cells of rat hypothalamus and uterus. European Journal of Pharmacology. 395(2). 103–106. 4 indexed citations
10.
Környei, J., et al.. (1997). Opioid peptides inhibit the estradiol-induced proliferation of cultured rat uterine cells. European Journal of Pharmacology. 336(1). 65–70. 10 indexed citations
11.
Környei, J., et al.. (1996). Opioids regulate cell proliferation in the developing rat uterus: Effects during the period of sexual maturation. The Journal of Steroid Biochemistry and Molecular Biology. 59(2). 173–178. 22 indexed citations
12.
Kovács, Sándor, et al.. (1995). Role of opioid peptides in the regulation of DNA synthesis in immature rat uterus. European Journal of Pharmacology Molecular Pharmacology. 291(2). 115–120. 12 indexed citations
13.
Ördög, Tamás, et al.. (1993). Role of endogenous opioids in progesterone antagonism on oestradiol-induced DNA synthesis in the rat uterus. The Journal of Steroid Biochemistry and Molecular Biology. 45(5). 455–457. 6 indexed citations
14.
Ördög, Tamás, et al.. (1993). Changes of [3H]naloxone binding in oestrogen stimulated rat uterus. The Journal of Steroid Biochemistry and Molecular Biology. 46(6). 819–825. 10 indexed citations
15.
Ördög, Tamás, et al.. (1992). Inhibition of oestradiol-induced DNA synthesis by opioid peptides in the rat uterus. Life Sciences. 51(15). 1187–1196. 17 indexed citations
16.
Garai, János, Marietta Vértes, & Sándor Kovács. (1989). In vitro effects of cytosolic inhibitor and opiates on the binding of [3H]oestradiol to nuclear type II binding sites of rat uterus and hypothalamus. Journal of Steroid Biochemistry. 32(3). 433–438. 9 indexed citations
17.
Székely, J., et al.. (1985). Effect of postcoital contraceptive levonorgestrel (Postinor) on endometrial oestradiol binding.. PubMed. 33(3). 148–51. 1 indexed citations
18.
Vértes, Marietta, et al.. (1978). Biochemical effects of neonatal testosterone treatment on the female rat hypothalmus during postnatal development. I. DNA synthesis.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 51(1-2). 13–22. 3 indexed citations
19.
Vértes, Marietta, et al.. (1977). Studies on hypothalamic estradiol binding during estrous cycle and after ovariectomy.. PubMed. 11(4). 227–34. 2 indexed citations
20.
Vértes, Marietta, et al.. (1965). Further Study on the Mechanism of the Hypothalamic Control of the Pituitary-Thyroid System. Neuroendocrinology. 1(3). 158–165. 1 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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