Catalina Simion

424 total citations
11 papers, 322 citations indexed

About

Catalina Simion is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Catalina Simion has authored 11 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Catalina Simion's work include Glycosylation and Glycoproteins Research (5 papers), RNA modifications and cancer (2 papers) and Ubiquitin and proteasome pathways (2 papers). Catalina Simion is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), RNA modifications and cancer (2 papers) and Ubiquitin and proteasome pathways (2 papers). Catalina Simion collaborates with scholars based in United States, Australia and India. Catalina Simion's co-authors include Colleen Sweeney, Kermit L. Carraway, Sheryl R. Krig, William Fry, Seth Frietze, Henriette O’Geen, Anastasia L. Berg, Ai‐Ming Yu, Neelu Batra and Sumaira Amir and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Oncogene.

In The Last Decade

Catalina Simion

11 papers receiving 320 citations

Peers

Catalina Simion
Catalina Simion
Citations per year, relative to Catalina Simion Catalina Simion (= 1×) peers Daniel Mendoza-Villanueva

Countries citing papers authored by Catalina Simion

Since Specialization
Citations

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

Fields of papers citing papers by Catalina Simion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catalina Simion

This figure shows the co-authorship network connecting the top 25 collaborators of Catalina Simion. A scholar is included among the top collaborators of Catalina Simion 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 Catalina Simion. Catalina Simion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Simion, Catalina, Jae Seok Hwang, Heather M. Baker, et al.. (2023). Abstract 4150: Novel preclinical model for the evaluation of cytokine release syndrome in response to CD19xCD3 bispecific antibody in humanized mice. Cancer Research. 83(7_Supplement). 4150–4150. 1 indexed citations
2.
O’Geen, Henriette, et al.. (2022). Aberrant promoter methylation contributes to LRIG1 silencing in basal/triple-negative breast cancer. British Journal of Cancer. 127(3). 436–448. 18 indexed citations
3.
Simion, Catalina, Neelu Batra, Anastasia L. Berg, et al.. (2019). A Novel Bioengineered miR-127 Prodrug Suppresses the Growth and Metastatic Potential of Triple-Negative Breast Cancer Cells. Cancer Research. 80(3). 418–429. 49 indexed citations
4.
Amir, Sumaira, Catalina Simion, Sheryl R. Krig, et al.. (2016). Regulation of the T-box transcription factor Tbx3 by the tumour suppressor microRNA-206 in breast cancer. British Journal of Cancer. 114(10). 1125–1134. 34 indexed citations
5.
Hatakeyama, Jason, Catalina Simion, Mingshui Chen, et al.. (2015). LRIG1 opposes epithelial-to-mesenchymal transition and inhibits invasion of basal-like breast cancer cells. Oncogene. 35(22). 2932–2947. 31 indexed citations
6.
Morrison, Meghan M., Michelle M. Williams, David Vaught, et al.. (2015). Decreased LRIG1 in fulvestrant-treated luminal breast cancer cells permits ErbB3 upregulation and increased growth. Oncogene. 35(9). 1143–1152. 13 indexed citations
7.
Simion, Catalina, et al.. (2014). The LRIG family: enigmatic regulators of growth factor receptor signaling. Endocrine Related Cancer. 21(6). R431–R443. 37 indexed citations
8.
Frietze, Seth, Henriette O’Geen, Laurie E. Littlepage, et al.. (2014). Global analysis of ZNF217 chromatin occupancy in the breast cancer cell genome reveals an association with ERalpha. BMC Genomics. 15(1). 520–520. 27 indexed citations
9.
Krig, Sheryl R., Seth Frietze, Catalina Simion, et al.. (2011). Lrig1 Is an Estrogen-Regulated Growth Suppressor and Correlates with Longer Relapse-Free Survival in ERα-Positive Breast Cancer. Molecular Cancer Research. 9(10). 1406–1417. 54 indexed citations
10.
Fry, William, Catalina Simion, Colleen Sweeney, & Kermit L. Carraway. (2011). Quantity Control of the ErbB3 Receptor Tyrosine Kinase at the Endoplasmic Reticulum. Molecular and Cellular Biology. 31(14). 3009–3018. 44 indexed citations
11.
Tetali, Sarada D., Madhu S. Budamagunta, Catalina Simion, et al.. (2009). VLDL lipolysis products increase VLDL fluidity and convert apolipoprotein E4 into a more expanded conformation. Journal of Lipid Research. 51(6). 1273–1283. 14 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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