Maria E. Vega

1.0k total citations
18 papers, 820 citations indexed

About

Maria E. Vega is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Maria E. Vega has authored 18 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Surgery. Recurrent topics in Maria E. Vega's work include Colorectal Cancer Treatments and Studies (3 papers), Cancer Cells and Metastasis (3 papers) and Cancer-related gene regulation (3 papers). Maria E. Vega is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Cancer Cells and Metastasis (3 papers) and Cancer-related gene regulation (3 papers). Maria E. Vega collaborates with scholars based in United States, Spain and Slovakia. Maria E. Vega's co-authors include Jiří Kalabis, Anil K. Rustgi, Hiroshi Nakagawa, Mitsuteru Natsuizaka, Gabrielle S. Wong, Andres J. Klein–Szanto, Meenhard Herlyn, Douglas B. Stairs, Jean E. Schwarzbauer and Olga Shestova and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Maria E. Vega

18 papers receiving 807 citations

Peers

Maria E. Vega
Philippe Pujuguet Belgium
Minlong Shi China
Stefania Violini Italy
Christiane Arnold France
Paola Marighetti Italy
Jiří Kalabis United States
Joseph L. Sottnik United States
Cédric Zeltz Norway
Eliana Pivetta Italy
Sophie Astrof United States
Philippe Pujuguet Belgium
Maria E. Vega
Citations per year, relative to Maria E. Vega Maria E. Vega (= 1×) peers Philippe Pujuguet

Countries citing papers authored by Maria E. Vega

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Vega. 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 Maria E. Vega. The network helps show where Maria E. Vega may publish in the future.

Co-authorship network of co-authors of Maria E. Vega

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

All Works

18 of 18 papers shown
1.
Vega, Maria E., John B. Finlay, Mansi Vasishtha, & Jean E. Schwarzbauer. (2020). Elevated glucose alters global gene expression and tenascin-C alternative splicing in mesangial cells. SHILAP Revista de lepidopterología. 8. 100048–100048. 8 indexed citations
2.
Vega, Maria E., et al.. (2020). Stimulation of Fibronectin Matrix Assembly by Lysine Acetylation. Cells. 9(3). 655–655. 18 indexed citations
3.
Goyal, Ritu, Maria E. Vega, Shivani Singh, et al.. (2017). Development of hybrid scaffolds with natural extracellular matrix deposited within synthetic polymeric fibers. Journal of Biomedical Materials Research Part A. 105(8). 2162–2170. 27 indexed citations
4.
Vega, Maria E. & Jean E. Schwarzbauer. (2016). Collaboration of fibronectin matrix with other extracellular signals in morphogenesis and differentiation. Current Opinion in Cell Biology. 42. 1–6. 30 indexed citations
5.
Vega, Maria E., Véronique Giroux, Mitsuteru Natsuizaka, et al.. (2014). Inhibition of Notch signaling enhances transdifferentiation of the esophageal squamous epithelium towards a Barrett's-like metaplasia via KLF4. Cell Cycle. 13(24). 3857–3866. 40 indexed citations
6.
Grugan, Katharine D., Maria E. Vega, Gabrielle S. Wong, et al.. (2013). A common p53 mutation (R175H) activates c-Met receptor tyrosine kinase to enhance tumor cell invasion. Cancer Biology & Therapy. 14(9). 853–859. 33 indexed citations
7.
Kalabis, Jiří, Gabrielle S. Wong, Maria E. Vega, et al.. (2012). Isolation and characterization of mouse and human esophageal epithelial cells in 3D organotypic culture. Nature Protocols. 7(2). 235–246. 130 indexed citations
8.
Stairs, Douglas B., Lauren J. Bayne, Ben Rhoades, et al.. (2011). Deletion of p120-Catenin Results in a Tumor Microenvironment with Inflammation and Cancer that Establishes It as a Tumor Suppressor Gene. Cancer Cell. 19(4). 470–483. 158 indexed citations
9.
Natsuizaka, Mitsuteru, Shinya Ohashi, Seiji Naganuma, et al.. (2011). Abstract 5194: Notch regulates squamous differentiation, cell plasticity and tumor heterogeneity in esophageal carcinoma. Cancer Research. 71(8_Supplement). 5194–5194. 11 indexed citations
10.
Vega, Maria E., et al.. (2011). 4193 POSTER The Oncology Nurse as a Necessary Participant of the Multidisciplinary Cancer Conferences. European Journal of Cancer. 47. S306–S307. 1 indexed citations
11.
Ohashi, Shinya, Mitsuteru Natsuizaka, Gabrielle S. Wong, et al.. (2010). Epidermal Growth Factor Receptor and Mutant p53 Expand an Esophageal Cellular Subpopulation Capable of Epithelial-to-Mesenchymal Transition through ZEB Transcription Factors. Cancer Research. 70(10). 4174–4184. 126 indexed citations
12.
Dedhia, Priya H., Karen Keeshan, Sacha Uljon, et al.. (2010). Differential ability of Tribbles family members to promote degradation of C/EBPα and induce acute myelogenous leukemia. Blood. 116(8). 1321–1328. 113 indexed citations
13.
Keeshan, Karen, Will Bailis, Priya H. Dedhia, et al.. (2010). Transformation by Tribbles homolog 2 (Trib2) requires both the Trib2 kinase domain and COP1 binding. Blood. 116(23). 4948–4957. 94 indexed citations
14.
Rueda, A., J. A. Medina, Ricard Mesı́a, et al.. (2007). Gefitinib plus concomitant boost accelerated radiation (AFX-CB) and concurrent weekly cisplatin for locally advanced unresectable squamous cell head and neck carcinomas (SCCHN): A phase II study. Journal of Clinical Oncology. 25(18_suppl). 6031–6031. 8 indexed citations
15.
Valero, Carmen, José M. Olmos, Fernando Rivera, et al.. (2006). Osteoprotegerin and Bone Mass in Squamous Cell Head and Neck Cancer Patients. Calcified Tissue International. 78(6). 343–347. 8 indexed citations
16.
Jimeno, Antonio, Isabel Sevilla, Cristina Grávalos, et al.. (2005). Phase I/II trial of capecitabine and gefitinib in patients with advanced colorectal cancer after failure of first-line therapy. Journal of Clinical Oncology. 23(16_suppl). 3176–3176. 9 indexed citations
17.
Dotor, E., Maria E. Vega, Pedro Sánchez‐Rovira, et al.. (2004). Irinotecan (CPT-11) and 5-fluorouracil (5-FU) concomitantly with preoperative radiotherapy (RT) in patients (pts) with locally advanced resectable rectal cancer. Updated results of a phase II study. Journal of Clinical Oncology. 22(14_suppl). 4179–4179. 1 indexed citations
18.
Dotor, E., Matilde Navarro, Maria E. Vega, et al.. (2004). Irinotecan (CPT-11) and 5-fluorouracil (5-FU) concomitantly with preoperative radiotherapy (RT) in patients (pts) with locally advanced resectable rectal cancer. Updated results of a phase II study. Journal of Clinical Oncology. 22(14_suppl). 4179–4179. 5 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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