Éva Pócsik

714 citations
30 papers · 612 indexed · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research

Papers in

    • Immune Cell Function and Interaction 12
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 5
    • Immune Response and Inflammation 4

Éva Pócsik

29 papers receiving 590 citations

Peers

Éva Pócsik
Comparison fields: 5 of 73
  • Immunology 344
  • Rheumatology 114
  • Virology 30
  • Oncology 158
  • Immunology and Allergy 34
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C Morimoto United States
Parisa Amjadi United Kingdom
Roberta Benvenuto Italy
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Arnaud Dupuy d’Angeac France
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Rosana González‐Quintial United States
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Éva Pócsik

Since Specialization
Citations

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

Fields of papers citing papers by Éva Pócsik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éva Pócsik, 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 Pócsik Line = papers co-authored together Éva Pócsik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200441
2
Characterisation of cytokine mRNA expression in tumour-infiltrating mononuclear cells and tumour cells freshly isolated from human colorectal carcinomas.
200117
3 200122
4 20009
5 19981
6 19974
7 19957
8 199513
9 199512
10 19954
11 199424
12 199410
13 19948
14 199370
15 199264
16 199248
17
Differentiation and activation antigens associated with hairy cell leukemia.
19901
18 19903
19 19903
20
Human lectin-dependent T cell-mediated cytotoxicity against Hep-2 cells.
19832

About Éva Pócsik

Éva Pócsik is a scholar working on Immunology, Hematology, Genetics, Oncology and Virology, having authored 30 papers that have together received 612 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (5 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Immune Response and Inflammation (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (344 citations), Rheumatology (114 citations), Virology (30 citations), Oncology (158 citations) and Immunology and Allergy (34 citations). Éva Pócsik has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Bharat B. Aggarwal, Anna Csiszár, Bharat B. Aggarwal, P Gergely, T Pozsonyi, Raj K. Pandita, E. Duda, David Wallach, G Petrányi and Rudolf Mihalik. Their work appears in journals such as FEBS Letters, Journal of Cellular Biochemistry, Immunology Letters, Clinical & Experimental Immunology 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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