Ilona Urbárová

812 total citations · 1 hit paper
18 papers, 523 citations indexed

About

Ilona Urbárová is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, Ilona Urbárová has authored 18 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Oncology. Recurrent topics in Ilona Urbárová's work include Coral and Marine Ecosystems Studies (3 papers), Per- and polyfluoroalkyl substances research (2 papers) and Marine Invertebrate Physiology and Ecology (2 papers). Ilona Urbárová is often cited by papers focused on Coral and Marine Ecosystems Studies (3 papers), Per- and polyfluoroalkyl substances research (2 papers) and Marine Invertebrate Physiology and Ecology (2 papers). Ilona Urbárová collaborates with scholars based in Norway, Sweden and France. Ilona Urbárová's co-authors include Torkjel M. Sandanger, Mattias Johansson, Therese Haugdahl Nøst, Florence Guida, Karl Smith-Byrne, Karine Alcala, Steinar Johansen, Elin Mortensen, Christopher G. Fenton and Erik Knutsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ilona Urbárová

18 papers receiving 516 citations

Hit Papers

Systemic inflammation markers and cancer incidence in the... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilona Urbárová Norway 9 235 103 84 79 73 18 523
Sofia Cividini United Kingdom 10 203 0.9× 191 1.9× 116 1.4× 35 0.4× 168 2.3× 15 759
Jack L. Martin United Kingdom 10 133 0.6× 160 1.6× 46 0.5× 43 0.5× 49 0.7× 21 559
Shinichiro Yamaguchi Japan 14 114 0.5× 206 2.0× 44 0.5× 53 0.7× 63 0.9× 29 643
Zhibo Gao China 11 243 1.0× 344 3.3× 125 1.5× 75 0.9× 157 2.2× 23 734
Katsuya Suzuki Japan 9 456 1.9× 98 1.0× 47 0.6× 158 2.0× 37 0.5× 18 736
Yutaka Sugiyama Japan 12 90 0.4× 93 0.9× 68 0.8× 90 1.1× 23 0.3× 40 503
Józef Kobos Poland 12 109 0.5× 213 2.1× 53 0.6× 45 0.6× 83 1.1× 91 584
Carolyn M. Matthews United States 11 141 0.6× 81 0.8× 44 0.5× 38 0.5× 36 0.5× 20 476
Weiqing Zhao China 15 282 1.2× 215 2.1× 29 0.3× 112 1.4× 130 1.8× 46 641

Countries citing papers authored by Ilona Urbárová

Since Specialization
Citations

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

Fields of papers citing papers by Ilona Urbárová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilona Urbárová

This figure shows the co-authorship network connecting the top 25 collaborators of Ilona Urbárová. A scholar is included among the top collaborators of Ilona Urbárová 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 Ilona Urbárová. Ilona Urbárová 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
2.
Kilvær, Thomas K., Mona Irene Pedersen, Egil Støre Blix, et al.. (2024). High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC. Frontiers in Immunology. 15. 1504220–1504220. 1 indexed citations
3.
Berg, Vivian, et al.. (2023). Legacy perfluoroalkyl acids and their oxidizable precursors in plasma samples of Norwegian women. Environment International. 178. 108026–108026. 5 indexed citations
4.
Berg, Vivian, et al.. (2023). Legacy Perfluoroalkyl Acids and Their Oxidizable Precursors in Plasma Samples of Norwegian Women. SSRN Electronic Journal. 2 indexed citations
5.
Andersson‐Hall, Ulrika, Rudolf Kaaks, Matthias B. Schulze, et al.. (2023). Altered plasma metabolite levels can be detected years before a glioma diagnosis. JCI Insight. 8(19). 8 indexed citations
6.
Urbárová, Ilona, Anne Heidi Skogholt, Yi‐Qian Sun, et al.. (2023). Increased expression of individual genes in whole blood is associated with late-stage lung cancer at and close to diagnosis. Scientific Reports. 13(1). 20760–20760. 1 indexed citations
7.
Li, Ruomei, Iñigo Martínez-Zubiaurre, Jack‐Ansgar Bruun, et al.. (2022). Changes in the proteome and secretome of rat liver sinusoidal endothelial cells during early primary culture and effects of dexamethasone. PLoS ONE. 17(9). e0273843–e0273843. 6 indexed citations
8.
Nøst, Therese Haugdahl, Anne Heidi Skogholt, Ilona Urbárová, et al.. (2022). Increased levels of microRNA‐320 in blood serum and plasma is associated with imminent and advanced lung cancer. Molecular Oncology. 17(2). 312–327. 5 indexed citations
9.
Nøst, Therese Haugdahl, Karine Alcala, Ilona Urbárová, et al.. (2021). Systemic inflammation markers and cancer incidence in the UK Biobank. European Journal of Epidemiology. 36(8). 841–848. 318 indexed citations breakdown →
10.
Islam, Ashraful, et al.. (2019). In vitro chondrogenic potency of surplus chondrocytes from autologous transplantation procedures does not predict short-term clinical outcomes. BMC Musculoskeletal Disorders. 20(1). 19–19. 9 indexed citations
11.
Cavanagh, Jorunn Pauline, Fatemeh Askarian, Jack‐Ansgar Bruun, et al.. (2019). Proteome profiling of secreted and membrane vesicle associated proteins of an invasive and a commensal Staphylococcus haemolyticus isolate. SHILAP Revista de lepidopterología. 22. 914–919. 1 indexed citations
12.
Urbárová, Ilona, Sylvain Forêt, Åse Emblem, et al.. (2019). Ocean acidification at a coastal CO2 vent induces expression of stress-related transcripts and transposable elements in the sea anemone Anemonia viridis. PLoS ONE. 14(5). e0210358–e0210358. 14 indexed citations
13.
Islam, Ashraful, Ilona Urbárová, Jack‐Ansgar Bruun, & Iñigo Martínez-Zubiaurre. (2019). Large-scale secretome analyses unveil the superior immunosuppressive phenotype of umbilical cord stromal cells as compared to other adult mesenchymal stromal cells. European Cells and Materials. 37. 153–174. 15 indexed citations
14.
Knutsen, Erik, Ilona Urbárová, Christopher G. Fenton, et al.. (2018). ICAM1 expression is induced by proinflammatory cytokines and associated with TLS formation in aggressive breast cancer subtypes. Scientific Reports. 8(1). 11720–11720. 75 indexed citations
15.
Cavanagh, Jorunn Pauline, Fatemeh Askarian, Jack‐Ansgar Bruun, et al.. (2018). Comparative exoproteome profiling of an invasive and a commensal Staphylococcus haemolyticus isolate. Journal of Proteomics. 197. 106–114. 15 indexed citations
16.
Urbárová, Ilona, Hardip R. Patel, Sylvain Forêt, et al.. (2018). Elucidating the Small Regulatory RNA Repertoire of the Sea Anemone Anemonia viridis Based on Whole Genome and Small RNA Sequencing. Genome Biology and Evolution. 10(2). 410–426. 11 indexed citations
18.
Urbárová, Ilona, et al.. (2012). Digital Marine Bioprospecting: Mining New Neurotoxin Drug Candidates from the Transcriptomes of Cold-Water Sea Anemones. Marine Drugs. 10(10). 2265–2279. 22 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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