Bálint Nagy

1.6k total citations
53 papers, 1.3k citations indexed

About

Bálint Nagy is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Bálint Nagy has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pediatrics, Perinatology and Child Health, 22 papers in Obstetrics and Gynecology and 11 papers in Molecular Biology. Recurrent topics in Bálint Nagy's work include Pregnancy and preeclampsia studies (22 papers), Birth, Development, and Health (13 papers) and Prenatal Screening and Diagnostics (11 papers). Bálint Nagy is often cited by papers focused on Pregnancy and preeclampsia studies (22 papers), Birth, Development, and Health (13 papers) and Prenatal Screening and Diagnostics (11 papers). Bálint Nagy collaborates with scholars based in Hungary, United States and Finland. Bálint Nagy's co-authors include János Rigó, Attila Molvarec, Zoltán Prohászka, Laura Horváth, Ákos Kalina, Albert Császár, J. Duba, Csaba Szalai, T Szabó and Kjell Haram and has published in prestigious journals such as Oncogene, Clinical Chemistry and British Journal of Haematology.

In The Last Decade

Bálint Nagy

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bálint Nagy Hungary 18 507 442 404 264 219 53 1.3k
Corinne Rusterholz Switzerland 18 783 1.5× 549 1.2× 629 1.6× 358 1.4× 224 1.0× 39 1.6k
Anthony J. Borg Australia 19 599 1.2× 221 0.5× 434 1.1× 229 0.9× 49 0.2× 51 1.1k
Hidekazu Oi Japan 19 482 1.0× 252 0.6× 186 0.5× 221 0.8× 85 0.4× 43 1.0k
Gen Ishikawa Japan 14 510 1.0× 287 0.6× 241 0.6× 378 1.4× 77 0.4× 43 1.1k
Su‐Cheng Huang Taiwan 25 626 1.2× 391 0.9× 126 0.3× 179 0.7× 293 1.3× 67 1.5k
Simona Cardaropoli Italy 21 310 0.6× 255 0.6× 340 0.8× 178 0.7× 68 0.3× 44 1.1k
E.‐M. Rutanen Finland 25 409 0.8× 398 0.9× 112 0.3× 366 1.4× 213 1.0× 44 1.6k
Aggeliki Kοlialexi Greece 19 276 0.5× 200 0.5× 346 0.9× 387 1.5× 94 0.4× 47 1.1k
Rashmi Sood United States 15 249 0.5× 191 0.4× 126 0.3× 373 1.4× 87 0.4× 24 1.3k
Andrew J. Tiltman South Africa 20 950 1.9× 347 0.8× 476 1.2× 186 0.7× 136 0.6× 48 1.7k

Countries citing papers authored by Bálint Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Bálint Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bálint Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Bálint Nagy. A scholar is included among the top collaborators of Bálint Nagy 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 Bálint Nagy. Bálint Nagy 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
2.
Szénási, Gábor, Gábor Nyírő, Péter Szabó, et al.. (2015). Genetic predisposition in patients with hypertension and normal ejection fraction to oxidative stress. Journal of the American Society of Hypertension. 10(2). 124–132. 9 indexed citations
3.
Bíró, Orsolya, et al.. (2015). Elevated hsa-miR-99a levels in maternal plasma may indicate congenital heart defects. Biomedical Reports. 3(6). 869–873. 15 indexed citations
5.
Lázár, Levente, Bálint Nagy, Attila Molvarec, András Szarka, & János Rigó. (2012). Role of hsa-miR-325 in the etiopathology of preeclampsia. Molecular Medicine Reports. 6(3). 597–600. 17 indexed citations
6.
Lázár, Levente, János Rigó, Bálint Nagy, et al.. (2009). Relationship of circulating cell-free DNA levels to cell-free fetal DNA levels, clinical characteristics and laboratory parameters in preeclampsia. BMC Medical Genetics. 10(1). 120–120. 47 indexed citations
7.
Molvarec, Attila, Zoltán Derzsy, Judit Kocsis, et al.. (2009). Circulating anti-heat-shock-protein antibodies in normal pregnancy and preeclampsia. Cell Stress and Chaperones. 14(5). 491–498. 22 indexed citations
8.
Nagy, Bálint, et al.. (2008). Under-Expression of <i>CD24</i> in Pre-Eclamptic Placental Tissues Determined by Quantitative Real-Time RT-PCR. Fetal Diagnosis and Therapy. 23(4). 263–266. 6 indexed citations
9.
Than, Nándor Gábor, Rita Mágenheim, Bálint Nagy, et al.. (2008). Placental protein 13 (galectin-13) has decreased placental expression but increased shedding and maternal serum concentrations in patients presenting with preterm pre-eclampsia and HELLP syndrome. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 453(4). 387–400. 89 indexed citations
10.
Brimacombe, Michael, et al.. (2007). Shoulder dystocia related fetal neurological injuries: the predisposing roles of forceps and ventouse extractions. Archives of Gynecology and Obstetrics. 277(5). 415–422. 8 indexed citations
11.
Galimberti, Sara, Bálint Nagy, E. Benedetti, et al.. (2007). Evaluation of theMDR1,ABCG2,Topoisomerases IIαandGSTπgene expression in patients affected by aggressive mantle cell lymphoma treated by the R-Hyper-CVAD regimen. Leukemia & lymphoma. 48(8). 1502–1509. 10 indexed citations
12.
Molvarec, Attila, Bálint Nagy, Margit Kovács, et al.. (2007). Lipid, haemostatic and inflammatory variables in relation to the estrogen receptor α (ESR1) PvuII and XbaI gene polymorphisms. Clinica Chimica Acta. 380(1-2). 157–164. 26 indexed citations
13.
Huang, Dorothy Jane, Matthew R. Nelson, Bernhard Zimmermann, et al.. (2006). Reliable detection of Trisomy 21 using MALDI-TOF mass spectrometry. Genetics in Medicine. 8(11). 728–734. 15 indexed citations
15.
Nagy, Bálint, Zoltán Bán, Artúr Beke, et al.. (2006). Detection of Toxoplasma gondii from amniotic fluid, a comparison of four different molecular biological methods. Clinica Chimica Acta. 368(1-2). 131–137. 26 indexed citations
16.
Acsády, György, Zoltán Papp, Zsolt Nagy, et al.. (2006). Factor V Leiden and apolipoprotein E genotypes in severe femoropopliteal atherosclerosis with restenosis. Clinica Chimica Acta. 377(1-2). 256–260. 7 indexed citations
17.
Nagy, Bálint, et al.. (2004). [Isolation of free DNA from archived serum samples suitable for molecular genetic studies].. PubMed. 145(47). 2375–8. 2 indexed citations
18.
Nagy, Bálint, Tuija Lundán, Marcelo L. Larramendy, et al.. (2003). Abnormal expression of apoptosis‐related genes in haematological malignancies: overexpression of MYC is poor prognostic sign in mantle cell lymphoma. British Journal of Haematology. 120(3). 434–441. 89 indexed citations
19.
Bán, Zoltán, Bálint Nagy, Csaba Papp, Ernö Tóth‐Pál, & Zoltán Papp. (2002). Rapid diagnosis of triploidy of maternal origin using fluorescent PCR and DNA fragment analysis in the third trimester of pregnancy. Prenatal Diagnosis. 22(11). 984–987. 4 indexed citations
20.
Nagy, Bálint, István Karádi, L. Fintor, et al.. (1999). Apolipoprotein E gene polymorphism frequencies in a sample of healthy Hungarians. Clinica Chimica Acta. 282(1-2). 147–150. 9 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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