László Márkász

520 citations
25 papers · 384 · h-index 10

Impact in

    • Cancer Cells and Metastasis
    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

László Márkász

22 papers receiving 383 citations

Peers

László Márkász
Comparison fields: 5 of 65
  • Oncology 172
  • Immunology 110
  • Hematology 27
  • Cell Biology 37
  • Genetics 21
Replace Toshifumi Hoki with:
Toshifumi Hoki Japan
N. Gavalas Greece
L. Dousset France
Huirong Ding China
Manuel Ruthenbürger Germany
Frank J. Lynch United States
Alessandro Barbarulo United Kingdom
Jolanta Szelachowska Poland
Miki Yamaguchi Japan
Kitty C. M. Castricum Netherlands
László Márkász relative to Toshifumi Hoki Japan Toshifumi Hoki's profile →
Citations per field
00.5×4.4×
Toshifumi Hoki · 1×
Citations per year

Countries citing papers authored by László Márkász

Since Specialization
Citations

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

Fields of papers citing papers by László Márkász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200791
2 201084
3 200836
4 200832
5 200722
6 201421
7 200617
8 201810
9 200710
10 20109
11 20088
12 20187
13 20215
14 20205
15 20215
16 20205
17 20114
18 20233
19 20243
20 20243

About László Márkász

László Márkász is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Nutrition and Dietetics, Epidemiology and Hematology, having authored 25 papers that have together received 384 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Infant Nutrition and Health (5 papers), Viral-associated cancers and disorders (4 papers), Immune Cell Function and Interaction (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Ubiquitin and proteasome pathways (1 paper) and Autopsy Techniques and Outcomes (1 paper). The work is most often cited by research in Oncology (172 citations), Immunology (110 citations), Hematology (27 citations), Cell Biology (37 citations) and Genetics (21 citations). László Márkász has collaborated with scholars based in Sweden, Hungary and United States. Frequent co-authors include László Székely, Éva Oláh, Emilie Flaberg, György Stuber, Staffan Eksborg, Bruno Vanherberghen, Eva Klein, Ennio Carbone, Ferenc Erdődi and Andrea Kiss. Their work appears in journals such as European Journal of Pediatrics, Frontiers in Pediatrics, BMC Cancer, Cellular Signalling and Experimental Hematology.

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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