Márta Hegyi

557 total citations
15 papers, 432 citations indexed

About

Márta Hegyi is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Márta Hegyi has authored 15 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Pediatrics, Perinatology and Child Health and 4 papers in Hematology. Recurrent topics in Márta Hegyi's work include Acute Lymphoblastic Leukemia research (10 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Sarcoma Diagnosis and Treatment (3 papers). Márta Hegyi is often cited by papers focused on Acute Lymphoblastic Leukemia research (10 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Sarcoma Diagnosis and Treatment (3 papers). Márta Hegyi collaborates with scholars based in Hungary, Saudi Arabia and India. Márta Hegyi's co-authors include Gábor Kovács, Dániel J. Erdélyi, Ágnes F. Semsei, Katalin Csordás, Csaba Szalai, Orsolya Lautner‐Csorba, Monika Csóka, Judit Müller, Zsuzsanna Jakab and Imre Antal and has published in prestigious journals such as British Journal of Haematology, Oncotarget and BMC Cancer.

In The Last Decade

Márta Hegyi

14 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Márta Hegyi Hungary 11 172 145 143 116 80 15 432
Stacy Epstein United States 6 81 0.5× 185 1.3× 108 0.8× 49 0.4× 269 3.4× 10 444
James W. Behan United States 9 112 0.7× 143 1.0× 132 0.9× 174 1.5× 24 0.3× 13 529
Eileen Gillan United States 11 36 0.2× 43 0.3× 60 0.4× 61 0.5× 156 1.9× 22 374
Joanne Derdak United States 12 60 0.3× 117 0.8× 84 0.6× 48 0.4× 22 0.3× 21 416
Virginia Kimball Dalton United States 8 657 3.8× 560 3.9× 166 1.2× 118 1.0× 116 1.4× 9 905
Pedro A. deAlarcon United States 5 111 0.6× 106 0.7× 57 0.4× 33 0.3× 31 0.4× 8 446
Shaoyan Hu China 11 67 0.4× 49 0.3× 76 0.5× 142 1.2× 10 0.1× 33 376
Émilie Lemieux‐Blanchard Canada 7 239 1.4× 139 1.0× 35 0.2× 211 1.8× 10 0.1× 17 457
Beverly Bell United States 12 225 1.3× 238 1.6× 169 1.2× 207 1.8× 9 0.1× 26 721
Simona Ultimo Italy 11 67 0.4× 59 0.4× 86 0.6× 233 2.0× 14 0.2× 12 410

Countries citing papers authored by Márta Hegyi

Since Specialization
Citations

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

Fields of papers citing papers by Márta Hegyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márta Hegyi

This figure shows the co-authorship network connecting the top 25 collaborators of Márta Hegyi. A scholar is included among the top collaborators of Márta Hegyi 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 Márta Hegyi. Márta Hegyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Nagy, Péter, et al.. (2022). TikTok and tics: the possible role of social media in the exacerbation of tics during the COVID lockdown. Ideggyógyászati Szemle. 75(5-6). 211–216. 11 indexed citations
2.
Kelemen, Andrea, Márta Hegyi, András Gézsi, et al.. (2018). Possible roles of genetic variations in chemotherapy related cardiotoxicity in pediatric acute lymphoblastic leukemia and osteosarcoma. BMC Cancer. 18(1). 704–704. 34 indexed citations
3.
Hegyi, Márta, Ádám Arany, Ágnes F. Semsei, et al.. (2016). Pharmacogenetic analysis of high-dose methotrexate treatment in children with osteosarcoma. Oncotarget. 8(6). 9388–9398. 34 indexed citations
4.
Hegyi, Márta, Katalin Csordás, Krisztína Németh, et al.. (2016). Some GCR Polymorphisms (N363S, ER22/23EK, and Bcl-1) May Influence Steroid-induced Toxicities and Survival Rates in Children With ALL. Journal of Pediatric Hematology/Oncology. 38(5). 334–340. 10 indexed citations
5.
Nyilasi, Ildikó, Márta Hegyi, Muthusamy Chandrasekaran, et al.. (2015). Hygromycin B, carboxin and nourseothricin susceptibility of polyunsaturated fatty acid producing Mortierella and Umbelopsis strains. Acta Biologica Szegediensis. 59(1). 11–18. 1 indexed citations
6.
Gézsi, András, Orsolya Lautner‐Csorba, Dániel J. Erdélyi, et al.. (2014). In interaction with gender a common CYP3A4 polymorphism may influence the survival rate of chemotherapy for childhood acute lymphoblastic leukemia. The Pharmacogenomics Journal. 15(3). 241–247. 9 indexed citations
7.
Csordás, Katalin, Orsolya Lautner‐Csorba, Ágnes F. Semsei, et al.. (2014). Associations of novel genetic variations in the folate‐related and ARID5B genes with the pharmacokinetics and toxicity of high‐dose methotrexate in paediatric acute lymphoblastic leukaemia. British Journal of Haematology. 166(3). 410–420. 34 indexed citations
8.
Németh, Krisztína, Dóra Török, Katalin Csordás, et al.. (2013). The glucocorticoid receptor gene polymorphism N363S predisposes to more severe toxic side effects during pediatric acute lymphoblastic leukemia (ALL) therapy. International Journal of Hematology. 97(2). 216–222. 19 indexed citations
9.
Hegyi, Márta, Ágnes F. Semsei, Zsuzsanna Jakab, et al.. (2012). Good prognosis of localized osteosarcoma in young patients treated with limb‐salvage surgery and chemotherapy. Pediatric Blood & Cancer. 58(4). 654–654. 7 indexed citations
10.
Hegyi, Márta, Katalin Csordás, Dániel J. Erdélyi, et al.. (2012). Clinical relations of methotrexate pharmacokinetics in the treatment for pediatric osteosarcoma. Journal of Cancer Research and Clinical Oncology. 138(10). 1697–1702. 24 indexed citations
11.
Csordás, Katalin, et al.. (2012). Comparison of pharmacokinetics and toxicity after high-dose methotrexate treatments in children with acute lymphoblastic leukemia. Anti-Cancer Drugs. 24(2). 189–197. 51 indexed citations
12.
Lautner‐Csorba, Orsolya, András Gézsi, Ágnes F. Semsei, et al.. (2012). Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance. BMC Medical Genomics. 5(1). 42–42. 36 indexed citations
13.
Semsei, Ágnes F., Dániel J. Erdélyi, Ildikó Ungvári, et al.. (2011). ABCC1 polymorphisms in anthracycline‐induced cardiotoxicity in childhood acute lymphoblastic leukaemia. Cell Biology International. 36(1). 79–86. 93 indexed citations
14.
Hegyi, Márta, Ágnes F. Semsei, Zsuzsanna Jakab, et al.. (2011). Good prognosis of localized osteosarcoma in young patients treated with limb‐salvage surgery and chemotherapy. Pediatric Blood & Cancer. 57(3). 415–422. 69 indexed citations
15.
Csordás, Katalin, et al.. (2011). Pharmacokinetic analysis of high-dose methotrexate treatments in children with hematologic malignancies. Orvosi Hetilap. 152(40). 1609–1617.

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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