Éva Pállinger

618 citations
33 papers · 495 · h-index 14

Impact in

Papers in

    • Protist diversity and phylogeny 5
    • Polyamine Metabolism and Applications 5
    • Mast cells and histamine 9
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • Reproductive System and Pregnancy 3

Éva Pállinger

31 papers receiving 486 citations

Peers

Éva Pállinger
Comparison fields: 5 of 84
  • Immunology 234
  • Immunology and Allergy 47
  • Chemical Health and Safety 4
  • Cancer Research 77
  • Dermatology 44
Replace Eckhard Korsch with:
Eckhard Korsch Germany
Iris K. Madera‐Salcedo Mexico
F. D'Adamio Italy
Hélène Buteau France
Janka Zsófia Csepregi Hungary
Philip Penn United States
Y Tone United Kingdom
Ohsuke Migita Japan
Anika Böttcher Germany
Vandana Verma India
Éva Pállinger relative to Eckhard Korsch Germany Eckhard Korsch's profile →
Citations per field
00.5×7.1×
Eckhard Korsch · 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-authors

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

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200166
2 200240
3 200438
4 201435
5 200030
6 200226
7 201224
8 200323
9 200223
10 200020
11 200719
12 200017
13 200217
14 200716
15 200413
16 200513
17 200712
18 200911
19 200610
20 20067

About Éva Pállinger

Éva Pállinger is a scholar working on Molecular Biology, Immunology, Physiology, Cellular and Molecular Neuroscience and Social Psychology, having authored 33 papers that have together received 495 indexed citations. Recurring topics across this work include Mast cells and histamine (9 papers), Immune Cell Function and Interaction (5 papers), Protist diversity and phylogeny (5 papers), Polyamine Metabolism and Applications (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immunotherapy and Immune Responses (3 papers), Neuroendocrine regulation and behavior (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Immunology (234 citations), Immunology and Allergy (47 citations), Chemical Health and Safety (4 citations), Cancer Research (77 citations) and Dermatology (44 citations). Éva Pállinger has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include András Falus, Péter Kovács, G. Csaba, G. Csaba, Sára Tóth, Gerd Schmitz, Zoltán Pós, Valéria László, G. Rothe and Evelyn Orsó. Their work appears in journals such as Cell Biochemistry and Function, Cell Biology International, Immunology Letters, Photochemistry and Photobiology and Inflammation Research.

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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