Éva Hellinger

549 total citations
9 papers, 400 citations indexed

About

Éva Hellinger is a scholar working on Oncology, Neurology and Molecular Biology. According to data from OpenAlex, Éva Hellinger has authored 9 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Éva Hellinger's work include Drug Transport and Resistance Mechanisms (4 papers), Barrier Structure and Function Studies (3 papers) and Receptor Mechanisms and Signaling (2 papers). Éva Hellinger is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Barrier Structure and Function Studies (3 papers) and Receptor Mechanisms and Signaling (2 papers). Éva Hellinger collaborates with scholars based in Hungary, Japan and United States. Éva Hellinger's co-authors include Mónika Vastag, Mária A. Deli, Szilvia Veszelka, Andrea E. Tóth, Fruzsina R. Walter, Károly Tihanyi, Ágnes Kittel, Shinsuke Nakagawa, Masami Niwa and Viktor Háda and has published in prestigious journals such as Journal of Pharmaceutical Sciences, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Alzheimer s Disease.

In The Last Decade

Éva Hellinger

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éva Hellinger Hungary 6 160 143 92 53 51 9 400
Helena Engman Sweden 4 154 1.0× 144 1.0× 86 0.9× 28 0.5× 19 0.4× 6 346
Christophe Landry France 13 211 1.3× 255 1.8× 198 2.2× 79 1.5× 30 0.6× 21 627
Daniela Elisabeth Eigenmann Switzerland 8 103 0.6× 201 1.4× 165 1.8× 59 1.1× 32 0.6× 11 499
Joseph Rager United States 5 138 0.9× 45 0.3× 124 1.3× 50 0.9× 19 0.4× 9 339
Johanna Huttunen Finland 14 216 1.4× 39 0.3× 262 2.8× 84 1.6× 30 0.6× 23 554
T. Kitazawa Japan 8 178 1.1× 32 0.2× 83 0.9× 45 0.8× 57 1.1× 15 363
Marlyn Dian Laksitorini Indonesia 6 43 0.3× 64 0.4× 115 1.3× 30 0.6× 48 0.9× 24 289
Sounak Bagchi United States 7 49 0.3× 94 0.7× 159 1.7× 31 0.6× 12 0.2× 12 432
Ryoichi Saitoh Japan 12 109 0.7× 23 0.2× 176 1.9× 21 0.4× 53 1.0× 20 463
T. Okamura Japan 13 123 0.8× 29 0.2× 96 1.0× 23 0.4× 16 0.3× 34 380

Countries citing papers authored by Éva Hellinger

Since Specialization
Citations

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

Fields of papers citing papers by Éva Hellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Hellinger

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

All Works

9 of 9 papers shown
1.
Veszelka, Szilvia, András Tóth, Fruzsina R. Walter, et al.. (2018). Comparison of a Rat Primary Cell-Based Blood-Brain Barrier Model With Epithelial and Brain Endothelial Cell Lines: Gene Expression and Drug Transport. Frontiers in Molecular Neuroscience. 11. 166–166. 99 indexed citations
2.
Domány, György, Zoltán Szakács, János Kóti, et al.. (2015). The influence of 5-HT2A activity on a 5-HT2C specific in vivo assay used for early identification of multiple acting SERT and 5-HT2C receptor ligands. Bioorganic & Medicinal Chemistry Letters. 26(3). 914–920. 2 indexed citations
3.
Kiss, Lóránd, Éva Hellinger, Ágnes Kittel, et al.. (2014). Sucrose Esters Increase Drug Penetration, But Do Not Inhibit P‐Glycoprotein in Caco‐2 Intestinal Epithelial Cells. Journal of Pharmaceutical Sciences. 103(10). 3107–3119. 40 indexed citations
4.
Ágai-Csongor, Éva, György Domány, György M. Keserű, et al.. (2014). Design of novel multiple-acting ligands towards SERT and 5-HT2C receptors. Bioorganic & Medicinal Chemistry Letters. 24(9). 2118–2122. 5 indexed citations
5.
Veszelka, Szilvia, Andrea E. Tóth, Fruzsina R. Walter, et al.. (2013). Docosahexaenoic Acid Reduces Amyloid-β Induced Toxicity in Cells of the Neurovascular Unit. Journal of Alzheimer s Disease. 36(3). 487–501. 39 indexed citations
6.
Hellinger, Éva, Szilvia Veszelka, Andrea E. Tóth, et al.. (2012). Comparison of brain capillary endothelial cell-based and epithelial (MDCK-MDR1, Caco-2, and VB-Caco-2) cell-based surrogate blood–brain barrier penetration models. European Journal of Pharmaceutics and Biopharmaceutics. 82(2). 340–351. 172 indexed citations
7.
Hellinger, Éva, et al.. (2010). Drug penetration model of vinblastine-treated Caco-2 cultures. European Journal of Pharmaceutical Sciences. 41(1). 96–106. 32 indexed citations
8.
Tihanyi, Károly, et al.. (2010). CYP Inhibition-Mediated Drug-Drug Interactions. Current Enzyme Inhibition. 6(3). 130–145. 4 indexed citations
9.
Hellinger, Éva, et al.. (2007). Histamine H4 receptor expression is elevated in human nasal polyp tissue. Cell Biology International. 31(11). 1367–1370. 7 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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