Emese Szabó

813 total citations
21 papers, 635 citations indexed

About

Emese Szabó is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Emese Szabó has authored 21 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Oncology. Recurrent topics in Emese Szabó's work include Glioma Diagnosis and Treatment (9 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Emese Szabó is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Emese Szabó collaborates with scholars based in Switzerland, Germany and Hungary. Emese Szabó's co-authors include Michael Weller, Ghazaleh Tabatabai, Katharina Seystahl, Isabel Burghardt, Hannah Schneider, Isabel Tritschler, Sascha Laubinger, Guido Reifenberger, Marietta Wolter and Paula Codó and has published in prestigious journals such as The Plant Cell, Cancer Research and Genetics.

In The Last Decade

Emese Szabó

21 papers receiving 634 citations

Peers

Emese Szabó

GENET

ONCOL

Daniel Capurso United States

Francesco Niola Italy

Mi-Jeong Yoon South Korea

Britta A. M. Bouwman Sweden

Sallie S. Boggs United States

Cátia Igreja Germany

Xinjun Ji United States

Aude Robert France

Chiu-Jung Huang Taiwan

Elizabeth Frias Switzerland

Daniel Capurso United States

Emese Szabó

794 ×2.3

36 ×0.3

GENET

82 ×0.7

ONCOL

115 ×1.0

133 ×1.2

Citations per year, relative to Emese Szabó Emese Szabó (= 1×) peers Daniel Capurso

Countries citing papers authored by Emese Szabó

Since Specialization

Citations

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

Fields of papers citing papers by Emese Szabó

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emese Szabó

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

All Works

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20 of 20 papers shown

Szabó, Emese, Márton Papp, Krisztián Bànyai, et al.. (2024). Investigating antimicrobial resistance genes in probiotic products for companion animals. Frontiers in Veterinary Science. 11. 1464351–1464351. 4 indexed citations

Silginer, Manuela, Eleanna Papa, Emese Szabó, et al.. (2023). Immunological and tumor-intrinsic mechanisms mediate the synergistic growth suppression of experimental glioblastoma by radiotherapy and MET inhibition. Acta Neuropathologica Communications. 11(1). 41–41. 3 indexed citations

Szabó, Emese, et al.. (2020). Metabolic Labeling of RNAs Uncovers Hidden Features and Dynamics of the Arabidopsis Transcriptome. The Plant Cell. 32(4). 871–887. 36 indexed citations

Weller, Michael, Kerstin Kaulich, Dorothee Gramatzki, et al.. (2019). Synergistic growth inhibition mediated by dual PI3K/mTOR pathway targeting and genetic or direct pharmacological AKT inhibition in human glioblastoma models. Journal of Neurochemistry. 153(4). 510–524. 16 indexed citations

Szabó, Emese, et al.. (2018). Antitumor Activity of DLX1008, an Anti-VEGFA Antibody Fragment with Low Picomolar Affinity, in Human Glioma Models. Journal of Pharmacology and Experimental Therapeutics. 365(2). 422–429. 15 indexed citations

Weller, Michael, et al.. (2018). Epidermal growth factor receptor and ligand family expression and activity in glioblastoma. Journal of Neurochemistry. 147(1). 99–109. 20 indexed citations

Willing, Eva‐Maria, et al.. (2018). The U1 snRNP Subunit LUC7 Modulates Plant Development and Stress Responses via Regulation of Alternative Splicing. The Plant Cell. 30(11). 2838–2854. 44 indexed citations

Eason, Anthony B., Sang‐Hoon Sin, Emese Szabó, et al.. (2018). Abstract 4: Antitumor activity of DLX1008, a single chain antibody fragment binding to VEGF-A, in in vivo preclinical models of Kaposi sarcoma and glioblastoma. Cancer Research. 78(13_Supplement). 4–4. 5 indexed citations

Szabó, Emese, Cláudia Martinho, Silvio Collani, et al.. (2018). Arabidopsis RNA processing factor SERRATE regulates the transcription of intronless genes. eLife. 7. 35 indexed citations

10.

Molnár, János, Emese Szabó, Levente Kontra, et al.. (2018). NGS of Virus-Derived Small RNAs as a Diagnostic Method Used to Determine Viromes of Hungarian Vineyards. Frontiers in Microbiology. 9. 56 indexed citations

11.

Rhun, Émilie Le, Manuela Silginer, Hannah Schneider, et al.. (2018). Profound, durable and MGMT‐independent sensitivity of glioblastoma cells to cyclin‐dependent kinase inhibition. International Journal of Cancer. 145(1). 242–253. 27 indexed citations

12.

Papa, Eleanna, et al.. (2017). Negative control of the HGF/c-MET pathway by TGF-β: a new look at the regulation of stemness in glioblastoma. Cell Death and Disease. 8(12). 3210–3210. 34 indexed citations

13.

Gramatzki, Dorothee, Emese Szabó, Martin Gramatzki, Matthias Peipp, & Michael Weller. (2017). IMMU-54. CD317 EXPRESSION IN HUMAN GLIOBLASTOMA: A TARGET FOR IMMUNOTHERAPY. Neuro-Oncology. 19(suppl_6). vi124–vi125. 2 indexed citations

14.

Schneider, Hannah, Emese Szabó, Raquel A. C. Machado, et al.. (2016). Novel TIE‐2 inhibitor BAY‐826 displays in vivo efficacy in experimental syngeneic murine glioma models. Journal of Neurochemistry. 140(1). 170–182. 20 indexed citations

15.

Szabó, Emese, Hannah Schneider, Katharina Seystahl, et al.. (2016). Autocrine VEGFR1 and VEGFR2 signaling promotes survival in human glioblastoma models in vitro and in vivo. Neuro-Oncology. 18(9). 1242–1252. 61 indexed citations

16.

Krishnan, Shanmugarajan, Emese Szabó, Isabel Burghardt, et al.. (2015). Modulation of cerebral endothelial cell function by TGF-β in glioblastoma: VEGF-dependent angiogenesis versus endothelial mesenchymal transition. Oncotarget. 6(26). 22480–22495. 54 indexed citations

17.

Seystahl, Katharina, Isabel Tritschler, Emese Szabó, Ghazaleh Tabatabai, & Michael Weller. (2014). Differential regulation of TGF-β–induced, ALK-5–mediated VEGF release by SMAD2/3 versus SMAD1/5/8 signaling in glioblastoma. Neuro-Oncology. 17(2). 254–265. 63 indexed citations

18.

Codó, Paula, Michael Weller, Gunter Meister, et al.. (2014). MicroRNA-mediated down-regulation of NKG2D ligands contributes to glioma immune escape. Oncotarget. 5(17). 7651–7662. 76 indexed citations

19.

Imesch, Patrick, David Scheiner, Emese Szabó, Daniel Fink, & André Fedier. (2013). Conjugates of cytochrome c and antennapedia peptide activate apoptosis and inhibit proliferation of HeLa cancer cells. Experimental and Therapeutic Medicine. 6(3). 786–790. 6 indexed citations

20.

Szabó, Emese, et al.. (2009). TRA-1/GLI controls the expression of the Hox gene lin-39 during C. elegans vulval development. Developmental Biology. 330(2). 339–348. 16 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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