Éva Pállinger

11.9k citations
132 papers · 4.8k indexed · 2 hit papers · h-index 27

Éva Pállinger

132 papers receiving 4.8k citations

Hit Papers

Low-density lipoprotein mimics blood plasma-derived exoso...414201120262016202150010001.5k

Peers

Éva Pállinger
Comparison fields: 5 of 132
  • Cancer Research 1.5k
  • Molecular Biology 3.6k
  • Immunology 1.0k
  • Immunology and Allergy 212
  • Obstetrics and Gynecology 264
Replace Gisela D’Angelo with:
Gisela D’Angelo France
Ludger Fink Germany
Dov Soffer Israel
Bence György United States
Mattias Belting Sweden
Linda Rangell United States
Yoshinori Murakami Japan
David G. Ginzinger United States
Ye‐Guang Chen China
Douglas J. Taatjes United States
Éva Pállinger relative to Gisela D’Angelo France Gisela D’Angelo's profile →
Citations per field
00.5×5.3×
Gisela D’Angelo · 1×
Citations per year

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

The 25 scholars most cited alongside Éva Pállinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éva Pállinger Line = papers co-authored together Éva Pállinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20247
3 20241
4 20243
5 20234
6 20231
7 20236
8 202323
9 202224
10 202213
11 20217
12 20214
13 20219
14 201938
15 201934
16 201543
17 2010342
18
Comparison of the amount and demonstrability of endogeneous hormones and bound insulin after paraformaldehyde and EDAC fixation in Tetrahymena
20061
19
Phosphatidylinositol 3-kinase-like activity in Tetrahymena. Effects of wortmannin and LY 294002
200311
20
Effect of oxytocin and its analogues on the phagocytosis of Tetrahymena: Outstanding impact of isotocin
20024

About Éva Pállinger

Éva Pállinger is a scholar working on Immunology, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 132 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (22 papers), Extracellular vesicles in disease (21 papers), Reproductive System and Pregnancy (13 papers), RNA Interference and Gene Delivery (10 papers), Mast cells and histamine (9 papers), Pregnancy and preeclampsia studies (9 papers), Neuroendocrine regulation and behavior (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (3.6k citations) and Immunology (1.0k citations). Éva Pállinger has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include András Falus, Edit I. Buzás, Ágnes Kittel, Erna Pap, Mária Pásztói, Bence György, Tamás Szabó, György Nagy, Petra Misják and Valéria László. Their work appears in journals such as Cell Biology International, Cell Biochemistry and Function, International Journal of Molecular Sciences, Inflammation Research and Scientific Reports.

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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2026