Csaba Bereczki

1.3k total citations
67 papers, 826 citations indexed

About

Csaba Bereczki is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Csaba Bereczki has authored 67 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pediatrics, Perinatology and Child Health, 14 papers in Molecular Biology and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Csaba Bereczki's work include Birth, Development, and Health (5 papers), Renal Diseases and Glomerulopathies (5 papers) and Complement system in diseases (4 papers). Csaba Bereczki is often cited by papers focused on Birth, Development, and Health (5 papers), Renal Diseases and Glomerulopathies (5 papers) and Complement system in diseases (4 papers). Csaba Bereczki collaborates with scholars based in Hungary, United States and Romania. Csaba Bereczki's co-authors include Sándor Túri, Ferenc Papp, Ilona Németh, Attila J. Szabó, Ákos Baráth, Aaron L. Friedman, György Reusz, Eszter Karg, József Kovács and Zoltán Prohászka and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Csaba Bereczki

62 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Csaba Bereczki Hungary 17 202 202 186 138 109 67 826
Ivan Tack France 17 138 0.7× 78 0.4× 93 0.5× 44 0.3× 72 0.7× 31 658
Zbigniew Baj Poland 18 179 0.9× 116 0.6× 190 1.0× 146 1.1× 148 1.4× 74 1.0k
Rakesh Verma India 12 312 1.5× 384 1.9× 81 0.4× 109 0.8× 80 0.7× 37 1.0k
Judith Chezar Israel 12 120 0.6× 102 0.5× 183 1.0× 112 0.8× 53 0.5× 22 611
Robert Deicher Austria 17 126 0.6× 294 1.5× 94 0.5× 303 2.2× 24 0.2× 20 846
Surasak Kantachuvesiri Thailand 16 254 1.3× 183 0.9× 75 0.4× 28 0.2× 234 2.1× 62 889
Geurt Stokman Netherlands 17 528 2.6× 354 1.8× 392 2.1× 25 0.2× 76 0.7× 30 1.4k
Boris Rogachev Israel 15 129 0.6× 192 1.0× 118 0.6× 35 0.3× 53 0.5× 44 825
Inimioara Mihaela Cojocaru Romania 16 221 1.1× 37 0.2× 233 1.3× 88 0.6× 52 0.5× 60 1.1k
Shan Zhou China 18 435 2.2× 231 1.1× 121 0.7× 20 0.1× 47 0.4× 58 1.0k

Countries citing papers authored by Csaba Bereczki

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Bereczki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Bereczki

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Bereczki. A scholar is included among the top collaborators of Csaba Bereczki 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 Csaba Bereczki. Csaba Bereczki 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.
Hegedűs, Krisztina, Péter Monostori, Ákos Baráth, et al.. (2025). Results of the Hungarian Newborn Screening Pilot Program for Spinal Muscular Atrophy. International Journal of Neonatal Screening. 11(2). 29–29.
2.
Kozinszky, Zoltán, et al.. (2025). Machine Learning-Based Prediction of IVF Outcomes: The Central Role of Female Preprocedural Factors. Biomedicines. 13(11). 2768–2768.
3.
Raskó, István, et al.. (2024). The ASAP study: association of atherosclerosis with pathobiology in a caucasian cohort—a study of 3400 autopsy reports. Scientific Reports. 14(1). 25179–25179. 2 indexed citations
4.
Molnár, Mária Judit, et al.. (2024). A gerincvelői izomsorvadás újszülöttkori szűrésének eredményei Magyarországon 2023-ban. Orvosi Hetilap. 165(29). 1122–1129. 1 indexed citations
5.
Gajda, Anna, et al.. (2024). Blood pressure in preterm infants with bronchopulmonary dysplasia in the first three months of life. Pediatric Nephrology. 39(8). 2475–2481. 1 indexed citations
6.
Gajda, Anna, et al.. (2023). Oscillometric arterial blood pressure in haemodynamically stable neonates in the first 2 weeks of life. Pediatric Nephrology. 38(10). 3369–3378. 7 indexed citations
7.
Sandu, Kishore, et al.. (2022). Long-term results of slide laryngotracheoplasty for congenital subglottic stenosis in newborns and infants. International Journal of Pediatric Otorhinolaryngology. 158. 111192–111192. 1 indexed citations
8.
Zádori, Dénes, Anikó Újfalusi, László Szpisjak, et al.. (2021). Hereditary and non-hereditary etiologies associated with extensive brain calcification: case series. Metabolic Brain Disease. 36(7). 2131–2139. 1 indexed citations
9.
10.
Lenkey, Zsófia, et al.. (2020). Updated and revised normal values of aortic pulse wave velocity in children and adolescents aged 3–18 years. Journal of Human Hypertension. 35(7). 604–612. 5 indexed citations
11.
12.
Béres, Nóra, Katalin Borka, Zoltán Kiss, et al.. (2016). Increased duodenal expression of miR-146a and -155 in pediatric Crohn’s disease. World Journal of Gastroenterology. 22(26). 6027–6027. 25 indexed citations
13.
Monostori, Péter, Pál Szabó, Otilia Mărginean, Csaba Bereczki, & Eszter Karg. (2015). Concurrent Confirmation and Differential Diagnosis of Congenital Adrenal Hyperplasia from Dried Blood Spots: Application of a Second-Tier LC-MS/MS Assay in a Cross-Border Cooperation for Newborn Screening. Hormone Research in Paediatrics. 84(5). 311–318. 20 indexed citations
14.
Bereczki, Csaba, et al.. (2014). Comparing the Effects of Benzyladenine and <i>meta</i>-Topolin on Sweet Basil (<i>Ocimum basilicum</i>) Micropropagation. Notulae Scientia Biologicae. 6(4). 422–427. 11 indexed citations
15.
Monostori, Péter, Gabriella F. Kocsis, Péter Bencsik, et al.. (2012). Different administration schedules of darbepoetin alfa affect oxidized and reduced glutathione levels to a similar extent in 5/6 nephrectomized rats. Clinical and Experimental Nephrology. 17(4). 569–574. 1 indexed citations
16.
Monostori, Péter, Zsuzsanna Hracskó, Eszter Karg, et al.. (2009). Erythropoiesis-stimulating agent withdrawal and oxidative stress in hemodialysis. Clinical Nephrology. 71(5). 521–526. 8 indexed citations
17.
Baráth, Ákos, et al.. (2006). Different pathomechanisms of essential and obesity-associated hypertension in adolescents. Pediatric Nephrology. 21(10). 1419–1425. 15 indexed citations
18.
Baráth, Ákos, Ilona Németh, Eszter Karg, et al.. (2006). Roles of Paraoxonase and Oxidative Stress in Adolescents with Uraemic, Essential or Obesity-Induced Hypertension. Kidney & Blood Pressure Research. 29(3). 144–151. 24 indexed citations
19.
Túri, Sándor, Aaron L. Friedman, Csaba Bereczki, et al.. (2003). Oxidative stress in juvenile essential hypertension. Journal of Hypertension. 21(1). 145–152. 62 indexed citations
20.
Túri, Sándor, et al.. (1994). The effect of erythropoietin on platelet function in uraemic children on haemodialysis. Pediatric Nephrology. 8(6). 727–732. 8 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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