László Márkász

515 total citations
23 papers, 379 citations indexed

About

László Márkász is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, László Márkász has authored 23 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in László Márkász's work include Neonatal Respiratory Health Research (10 papers), Infant Nutrition and Health (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). László Márkász is often cited by papers focused on Neonatal Respiratory Health Research (10 papers), Infant Nutrition and Health (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). László Márkász collaborates with scholars based in Sweden, Hungary and United States. László Márkász's co-authors include László Székely, Éva Oláh, Emilie Flaberg, György Stuber, Staffan Eksborg, Bruno Vanherberghen, Ennio Carbone, Eva Klein, George Klein and Ferenc Erdődi and has published in prestigious journals such as Scientific Reports, International Journal of Cancer and Molecular Cancer.

In The Last Decade

László Márkász

21 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
László Márkász Sweden 10 184 121 107 62 38 23 379
Toshifumi Hoki Japan 7 180 1.0× 147 1.2× 92 0.9× 44 0.7× 13 0.3× 21 381
L. Dousset France 11 344 1.9× 108 0.9× 205 1.9× 72 1.2× 59 1.6× 34 618
Frank J. Lynch United States 7 142 0.8× 181 1.5× 235 2.2× 24 0.4× 35 0.9× 10 465
N. Gavalas Greece 7 92 0.5× 120 1.0× 166 1.6× 28 0.5× 23 0.6× 9 337
Eiji Kawamura Japan 10 132 0.7× 74 0.6× 92 0.9× 54 0.9× 35 0.9× 26 386
Yuuki Ohara Japan 11 172 0.9× 105 0.9× 133 1.2× 117 1.9× 26 0.7× 24 396
Han-Kwang Yang South Korea 10 163 0.9× 112 0.9× 337 3.1× 52 0.8× 100 2.6× 11 527
Charles O. Brown United States 10 112 0.6× 106 0.9× 149 1.4× 77 1.2× 10 0.3× 13 375
Antons Martincuks United States 11 201 1.1× 158 1.3× 237 2.2× 43 0.7× 45 1.2× 20 500
Hyewon Chung South Korea 13 116 0.6× 109 0.9× 177 1.7× 21 0.3× 22 0.6× 26 538

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-authorship network of co-authors of László Márkász

This figure shows the co-authorship network connecting the top 25 collaborators of László Márkász. A scholar is included among the top collaborators of László Márkász 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 László Márkász. László Márkász 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.
Márkász, László, et al.. (2024). Early and late postnatal lung distribution of collagen type VI in preterm and term infants. Respiratory Physiology & Neurobiology. 332. 104366–104366.
2.
Márkász, László, et al.. (2024). Collagen type IV alpha 1 chain (COL4A1) expression in the developing human lung. BMC Pulmonary Medicine. 24(1). 75–75. 2 indexed citations
3.
4.
Lilja, Heléne Engstrand, et al.. (2023). Paneth cell proteins DEFA6 and GUCA2A as tissue markers in necrotizing enterocolitis. European Journal of Pediatrics. 182(6). 2775–2784. 3 indexed citations
5.
Márkász, László, et al.. (2021). The value of autopsy in preterm infants at a Swedish tertiary neonatal intensive care unit 2002–2018. Scientific Reports. 11(1). 14156–14156. 5 indexed citations
6.
Márkász, László, et al.. (2021). Early Postnatal Comprehensive Biomarkers Cannot Identify Extremely Preterm Infants at Risk of Developing Necrotizing Enterocolitis. Frontiers in Pediatrics. 9. 755437–755437. 4 indexed citations
7.
Márkász, László, Rashmin C. Savani, Anders Jonzon, & Richard Sindelar. (2020). CD44 and RHAMM expression patterns in the human developing lung. Pediatric Research. 89(1). 134–142. 5 indexed citations
8.
Márkász, László, Rashmin C. Savani, Gunnar Sedin, & Richard Sindelar. (2018). The receptor for hyaluronan-mediated motility (RHAMM) expression in neonatal bronchiolar epithelium correlates negatively with lung air content. Early Human Development. 127. 58–68. 7 indexed citations
9.
Kiss, Andrea, et al.. (2014). Inhibition of protein phosphatase-1 and -2A decreases the chemosensitivity of leukemic cells to chemotherapeutic drugs. Cellular Signalling. 27(2). 363–372. 20 indexed citations
10.
Kis, Lóránd, Annunziata Gloghini, László Márkász, et al.. (2011). Drug sensitivity patterns of HHV8 carrying body cavity lymphoma cell lines. BMC Cancer. 11(1). 441–441. 4 indexed citations
11.
Flaberg, Emilie, László Márkász, Gabor Petrányi, et al.. (2010). High‐throughput live‐cell imaging reveals differential inhibition of tumor cell proliferation by human fibroblasts. International Journal of Cancer. 128(12). 2793–2802. 83 indexed citations
12.
Flaberg, Emilie, Noémi Nagy, László Márkász, et al.. (2010). Chronic lymphoid leukemia cells are highly sensitive to the combination of prednisolone and daunorubicin, but much less to doxorubicin or epirubicin. Experimental Hematology. 38(12). 1219–1230. 9 indexed citations
13.
14.
Márkász, László, György Hajas, Andrea Kiss, et al.. (2008). Granulocyte Colony Stimulating Factor Increases Drug Resistance of Leukaemic Blast Cells to Daunorubicin. Pathology & Oncology Research. 14(3). 285–292. 3 indexed citations
15.
Márkász, László, Michael Uhlin, Emilie Flaberg, et al.. (2008). Effect of Frequently Used Chemotherapeutic Drugs on Cytotoxic Activity of Human Cytotoxic T-lymphocytes. Journal of Immunotherapy. 31(3). 283–293. 36 indexed citations
16.
Márkász, László, Bruno Vanherberghen, Emilie Flaberg, et al.. (2008). NK cell-mediated lysis is essential to kill Epstein–Barr virus transformed lymphoblastoid B cells when using rituximab. Biomedicine & Pharmacotherapy. 63(6). 413–420. 8 indexed citations
17.
Stuber, György, Karin Mattsson, Emilie Flaberg, et al.. (2007). HHV-8 encoded LANA-1 alters the higher organization of the cell nucleus. Molecular Cancer. 6(1). 28–28. 22 indexed citations
18.
Márkász, László, Lóránd Kis, György Stuber, et al.. (2007). Hodgkin-lymphoma-derived cells show high sensitivity to dactinomycin and paclitaxel. Leukemia & lymphoma. 48(9). 1835–1845. 10 indexed citations
19.
Márkász, László, György Stuber, Bruno Vanherberghen, et al.. (2007). Effect of frequently used chemotherapeutic drugs on the cytotoxic activity of human natural killer cells. Molecular Cancer Therapeutics. 6(2). 644–654. 91 indexed citations
20.
Márkász, László, György Stuber, Emilie Flaberg, et al.. (2006). Cytotoxic drug sensitivity of Epstein-Barr virus transformed lymphoblastoid B-cells. BMC Cancer. 6(1). 265–265. 17 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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