Éva Pállinger

618 total citations
33 papers, 495 citations indexed

About

Éva Pállinger is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Éva Pállinger has authored 33 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 4 papers in Physiology. Recurrent topics in Éva Pállinger's work include Mast cells and histamine (9 papers), Protist diversity and phylogeny (5 papers) and Immune Cell Function and Interaction (5 papers). Éva Pállinger is often cited by papers focused on Mast cells and histamine (9 papers), Protist diversity and phylogeny (5 papers) and Immune Cell Function and Interaction (5 papers). Éva Pállinger collaborates with scholars based in Hungary, Germany and Argentina. Éva Pállinger's co-authors include András Falus, Péter Kovács, G. Csaba, G. Csaba, Sára Tóth, Valéria László, Gerd Schmitz, Evelyn Orsó, Zoltán Pós and G. Rothe and has published in prestigious journals such as FEBS Letters, Cellular and Molecular Life Sciences and BioMed Research International.

In The Last Decade

Éva Pállinger

31 papers receiving 486 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 Pállinger Hungary 14 234 208 82 77 47 33 495
Philip Penn United States 13 35 0.1× 237 1.1× 132 1.6× 32 0.4× 23 0.5× 16 569
Iris K. Madera‐Salcedo Mexico 13 290 1.2× 172 0.8× 68 0.8× 11 0.1× 69 1.5× 18 501
Susan Forrest Australia 13 49 0.2× 231 1.1× 94 1.1× 22 0.3× 78 1.7× 17 621
Janka Zsófia Csepregi Hungary 8 224 1.0× 110 0.5× 69 0.8× 9 0.1× 54 1.1× 11 422
Charles DeRossi United States 12 92 0.4× 507 2.4× 76 0.9× 86 1.1× 12 0.3× 14 730
Charlotte Thomas United States 5 139 0.6× 77 0.4× 56 0.7× 19 0.2× 14 0.3× 14 355
F. D'Adamio Italy 8 383 1.6× 356 1.7× 67 0.8× 134 1.7× 8 0.2× 15 861
Ohsuke Migita Japan 14 55 0.2× 290 1.4× 140 1.7× 25 0.3× 38 0.8× 41 608
Hélène Buteau France 9 157 0.7× 384 1.8× 52 0.6× 70 0.9× 13 0.3× 9 914

Countries citing papers authored by Éva Pállinger

Since Specialization
Citations

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

Fields of papers citing papers by Éva Pállinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Pállinger

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

All Works

20 of 20 papers shown
1.
McGranaghan, Peter, Éva Pállinger, Pál Maurovich‐Horvat, et al.. (2024). Modeling the Impact of Extracellular Vesicle Cargoes in the Diagnosis of Coronary Artery Disease. Biomedicines. 12(12). 2682–2682. 1 indexed citations
2.
Pállinger, Éva, Árpád Ferenc Kovács, Levente Littvay, et al.. (2017). Tight co-twin similarity of monozygotic twins for hTERT protein level of T cell subsets, for telomere length and mitochondrial DNA copy number, but not for telomerase activity. Cellular and Molecular Life Sciences. 75(13). 2447–2456. 5 indexed citations
3.
Tömböl, Zsófia, Péter M. Szabó, Katalin Éder, et al.. (2012). Effects of Mitotane on Gene Expression in the Adrenocortical Cell Line NCI-H295R: A Microarray Study. Pharmacogenomics. 13(12). 1351–1361. 24 indexed citations
4.
Bohács, Anikó, Éva Pállinger, Lilla Tamási, et al.. (2009). Surface markers of lymphocyte activation in pregnant asthmatics. Inflammation Research. 59(1). 63–70. 11 indexed citations
5.
Kis, Zoltán, Katalin Burián, Valéria Endrész, et al.. (2008). Expression of bacterial genes and induction of INF-γ in human myeloid dendritic cells during persistent infection withChlamydophila pneumoniae. FEMS Immunology & Medical Microbiology. 52(3). 324–334. 4 indexed citations
6.
Csaba, G. & Éva Pállinger. (2007). Is there a hormonal network in Tetrahymena? A systematic investigation of hormonal effects on the hormone content. Cell Biochemistry and Function. 26(3). 303–308. 16 indexed citations
7.
Csaba, G., Péter Kovács, & Éva Pállinger. (2007). Increased hormone levels in Tetrahymena after long‐lasting starvation. Cell Biology International. 31(9). 924–928. 19 indexed citations
8.
Csaba, G., Péter Kovács, & Éva Pállinger. (2007). Effect of femtomolar concentrations of hormones on insulin binding by Tetrahymena, as a function of time. Cell Biochemistry and Function. 26(2). 205–209. 4 indexed citations
9.
Csaba, G., Péter Kovács, & Éva Pállinger. (2006). Impact of neonatal imprinting with vitamin A or D on the hormone content of rat immune cells. Cell Biochemistry and Function. 25(6). 717–721. 10 indexed citations
10.
Pállinger, Éva, László Tóthfalusi, & G. Csaba. (2006). Prolonged effect of endorphin treatment during pregnancy in the rat on the histamine content of immune cells of F1 and F2 offspring generations. Cell Biochemistry and Function. 24(4). 287–290. 6 indexed citations
11.
Pállinger, Éva, et al.. (2006). Histamine H1 and H2 receptors but not H4 receptors are upregulated during bone marrow regeneration. Cellular Immunology. 244(2). 110–115. 7 indexed citations
12.
Csaba, G., Péter Kovács, & Éva Pállinger. (2004). Presence and localization of epidermal growth factor (EGF)‐ and EGF‐receptor‐like immunoreactivity in Tetrahymena. Cell Biology International. 28(7). 491–496. 13 indexed citations
13.
Csaba, G., Péter Kovács, & Éva Pállinger. (2004). Prolonged effect of an H1‐receptor blocker antihistamine on the histamine content of white blood cells and mast cells. Cell Biochemistry and Function. 22(3). 201–204. 2 indexed citations
14.
Darvas, Zsuzsa, Eiko Sakurai, H. G. Schwelberger, et al.. (2003). Autonomous histamine metabolism in human melanoma cells. Melanoma Research. 13(3). 239–246. 23 indexed citations
15.
Gadó, Klára, Éva Pállinger, Péter Kovács, et al.. (2002). Prolactin influences proliferation and apoptosis of a human IgE secreting myeloma cell line, U266. Immunology Letters. 82(3). 191–196. 17 indexed citations
16.
17.
Pállinger, Éva, Zoltán Pós, G. Rothe, et al.. (2001). Inhibition of effects of endogenously synthesized histamine disturbs in vitro human dendritic cell differentiation. Immunology Letters. 76(3). 175–182. 66 indexed citations
18.
Igaz, Péter, Barbara Horváth, Csaba Szalai, et al.. (2000). Soluble interleukin-6 receptor (sIL-6R) makes IL-6R negative T cell line respond to IL-6; it inhibits TNF production. Immunology Letters. 71(3). 143–148. 20 indexed citations
19.
Rothe, G., et al.. (2000). Multi-Color Analysis of Monocyte and Dendritic Cell Precursor Heterogeneity in Whole Blood. Immunobiology. 202(1). 51–58. 17 indexed citations
20.
Darvas, Zsuzsa, Krisztina Kerekes, József Prechl, et al.. (2000). H1 histamine receptor antagonist inhibits constitutive growth of Jurkat T cells and antigen-specific proliferation of ovalbumin-specific murine T cells. Seminars in Cancer Biology. 10(1). 41–45. 30 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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