Rayna Rosati

530 total citations
24 papers, 430 citations indexed

About

Rayna Rosati is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Rayna Rosati has authored 24 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Rayna Rosati's work include Estrogen and related hormone effects (6 papers), Prostate Cancer Treatment and Research (5 papers) and Cell Adhesion Molecules Research (4 papers). Rayna Rosati is often cited by papers focused on Estrogen and related hormone effects (6 papers), Prostate Cancer Treatment and Research (5 papers) and Cell Adhesion Molecules Research (4 papers). Rayna Rosati collaborates with scholars based in United States, Italy and United Kingdom. Rayna Rosati's co-authors include Eero Vuorio, Marjo Metsäranta, Silvio Garofalo, Manohar Ratnam, D. Toman, Richard Mayne, William A. Horton, Guillermina Lozano, Yanfang Huang and Seongho Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Rayna Rosati

24 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rayna Rosati United States 12 216 154 94 91 83 24 430
Sibylle Teurich Germany 6 222 1.0× 63 0.4× 64 0.7× 148 1.6× 50 0.6× 6 437
Carl Hilliker Belgium 13 222 1.0× 107 0.7× 51 0.5× 62 0.7× 23 0.3× 23 416
P S Rudland United Kingdom 12 395 1.8× 107 0.7× 104 1.1× 314 3.5× 81 1.0× 20 730
Motomi Enomoto Japan 12 346 1.6× 73 0.5× 254 2.7× 62 0.7× 160 1.9× 16 625
Rebecca Mosig United States 10 196 0.9× 101 0.7× 108 1.1× 170 1.9× 35 0.4× 22 491
Els Van Hul Belgium 9 536 2.5× 251 1.6× 153 1.6× 222 2.4× 25 0.3× 15 739
Rosa Maria Alfano Italy 14 276 1.3× 68 0.4× 37 0.4× 207 2.3× 45 0.5× 25 635
Zahida Saad Canada 8 194 0.9× 99 0.6× 188 2.0× 220 2.4× 23 0.3× 11 456
Amanda J. Atherton United Kingdom 10 277 1.3× 91 0.6× 16 0.2× 260 2.9× 50 0.6× 17 603

Countries citing papers authored by Rayna Rosati

Since Specialization
Citations

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

Fields of papers citing papers by Rayna Rosati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rayna Rosati

This figure shows the co-authorship network connecting the top 25 collaborators of Rayna Rosati. A scholar is included among the top collaborators of Rayna Rosati 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 Rayna Rosati. Rayna Rosati 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.
Parajuli, Prahlad, Rayna Rosati, Hirva Mamdani, et al.. (2022). Senescence-associated secretory proteins induced in lung adenocarcinoma by extended treatment with dexamethasone enhance migration and activation of lymphocytes. Cancer Immunology Immunotherapy. 72(5). 1273–1284. 7 indexed citations
2.
Ducker, Charles, Seongho Kim, Thomas Strahl, et al.. (2022). Identification of ELK1 interacting peptide segments in the androgen receptor. Biochemical Journal. 479(14). 1519–1531. 4 indexed citations
3.
Purrington, Kristen S., David H. Gorski, Michael S. Simon, et al.. (2020). Racial differences in estrogen receptor staining levels and implications for treatment and survival among estrogen receptor positive, HER2-negative invasive breast cancers. Breast Cancer Research and Treatment. 181(1). 145–154. 11 indexed citations
4.
5.
Rosati, Rayna, et al.. (2019). The ternary complex factor protein ELK1 is an independent prognosticator of disease recurrence in prostate cancer. The Prostate. 80(2). 198–208. 9 indexed citations
6.
Rosati, Rayna, Lisa Polin, Charles Ducker, et al.. (2018). Strategy for Tumor-Selective Disruption of Androgen Receptor Function in the Spectrum of Prostate Cancer. Clinical Cancer Research. 24(24). 6509–6522. 16 indexed citations
7.
Rosati, Rayna, Yanfang Huang, Lisa Polin, et al.. (2018). Chronic p27Kip1 Induction by Dexamethasone Causes Senescence Phenotype and Permanent Cell Cycle Blockade in Lung Adenocarcinoma Cells Over-expressing Glucocorticoid Receptor. Scientific Reports. 8(1). 16006–16006. 10 indexed citations
8.
Rosati, Rayna, et al.. (2017). Progesterone receptor A promotes invasiveness and metastasis of luminal breast cancer by suppressing regulation of critical microRNAs by estrogen. Journal of Biological Chemistry. 293(4). 1163–1177. 33 indexed citations
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11.
Movassaghian, Sara, Yuran Xie, Rayna Rosati, et al.. (2016). Post-Transcriptional Regulation of the GASC1 Oncogene with Active Tumor-Targeted siRNA-Nanoparticles. Molecular Pharmaceutics. 13(8). 2605–2621. 5 indexed citations
12.
Passoni, Paolo, N. Slim, C. Fiorino, et al.. (2016). EP-1300: Preoperative, Adaptive Radiotherapy with Tomotherapy concomitant with chemotherapy in rectal cancer. Radiotherapy and Oncology. 119. S610–S611. 1 indexed citations
13.
Bullwinkle, Tammy J., et al.. (2012). Determinants of Bacteriophage 933W Repressor DNA Binding Specificity. PLoS ONE. 7(4). e34563–e34563. 4 indexed citations
14.
Crombrugghe, Benoît De, Krish Mukhopadhyay, Véronique Lefebvre, et al.. (1995). Transgenic mice with deficiencies in cartilage collagens: possible models for gene therapy.. PubMed. 43. 140–2. 4 indexed citations
15.
Rosati, Rayna, Gerald Horan, Silvio Garofalo, et al.. (1994). Normal long bone growth and development in type X collagen-null mice. Matrix Biology. 14(5). 415–415. 3 indexed citations
16.
Santelli, Giovanni, Vittorio de Franciscis, Giuseppe Portella, et al.. (1993). Production of transgenic mice expressing the Ki-ras oncogene under the control of a thyroglobulin promoter.. PubMed. 53(22). 5523–7. 38 indexed citations
17.
Elima, Kati, Iiro Eerola, Rayna Rosati, et al.. (1993). The mouse collagen X gene: complete nucleotide sequence, exon structure and expression pattern. Biochemical Journal. 289(1). 247–253. 64 indexed citations
18.
Garofalo, Silvio, Eero Vuorio, Marjo Metsäranta, et al.. (1991). Reduced amounts of cartilage collagen fibrils and growth plate anomalies in transgenic mice harboring a glycine-to-cysteine mutation in the mouse type II procollagen alpha 1-chain gene.. Proceedings of the National Academy of Sciences. 88(21). 9648–9652. 120 indexed citations
19.
Pinto, Antonio, Giulia Colletta, Luigi Del Vecchio, et al.. (1987). c-fos oncogene expression in human hematopoietic malignancies is restricted to acute leukemias with monocytic phenotype and to subsets of B cell leukemias. Blood. 70(5). 1450–1457. 29 indexed citations
20.
Rosati, Rayna, et al.. (1983). [Separation of monocytes and their use in a cytotoxicity test].. PubMed. 59(10). 1462–6. 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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