Ildikó Szatmári

472 total citations
19 papers, 145 citations indexed

About

Ildikó Szatmári is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Ildikó Szatmári has authored 19 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Clinical Biochemistry. Recurrent topics in Ildikó Szatmári's work include Metabolism and Genetic Disorders (6 papers), Neuropeptides and Animal Physiology (6 papers) and Receptor Mechanisms and Signaling (5 papers). Ildikó Szatmári is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Neuropeptides and Animal Physiology (6 papers) and Receptor Mechanisms and Signaling (5 papers). Ildikó Szatmári collaborates with scholars based in Hungary, Germany and Norway. Ildikó Szatmári's co-authors include Zoltán Takáts, László Szönyi, Eszter Szabó, E. W. Rauterberg, Steven L. Robinette, Júlia Dénes, Anna Borsodi, Géza Tóth, Imre Lengyel and Dauren Biyashev and has published in prestigious journals such as Analytical Chemistry, Biochemical and Biophysical Research Communications and Life Sciences.

In The Last Decade

Ildikó Szatmári

18 papers receiving 142 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ildikó Szatmári Hungary 6 105 40 38 29 21 19 145
Mike T. Veling United States 7 196 1.9× 5 0.1× 36 0.9× 34 1.2× 9 0.4× 8 239
Angela Hübner Germany 8 134 1.3× 7 0.2× 20 0.5× 13 0.4× 42 2.0× 13 165
Kevin A. Janssen United States 9 378 3.6× 5 0.1× 42 1.1× 18 0.6× 27 1.3× 14 426
Takashi Ohsato Japan 7 317 3.0× 29 0.7× 102 2.7× 16 0.6× 17 0.8× 11 372
Nurulamin Abu Bakar Netherlands 5 95 0.9× 5 0.1× 18 0.5× 21 0.7× 33 1.6× 7 130
Zhongfu Ying China 5 190 1.8× 13 0.3× 24 0.6× 8 0.3× 6 0.3× 7 236
Celia Medrano Spain 7 100 1.0× 8 0.2× 38 1.0× 30 1.0× 67 3.2× 9 191
Ardeshir A. Monavari Ireland 7 203 1.9× 19 0.5× 219 5.8× 29 1.0× 28 1.3× 11 294
Yair Anikster Israel 7 191 1.8× 18 0.5× 60 1.6× 13 0.4× 33 1.6× 11 255
Jean-Paul di Rago France 9 357 3.4× 29 0.7× 74 1.9× 15 0.5× 8 0.4× 10 387

Countries citing papers authored by Ildikó Szatmári

Since Specialization
Citations

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

Fields of papers citing papers by Ildikó Szatmári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ildikó Szatmári

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

All Works

19 of 19 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.
Molnár, Mária Judit, et al.. (2024). A gerincvelői izomsorvadás újszülöttkori szűrésének eredményei Magyarországon 2023-ban. Orvosi Hetilap. 165(29). 1122–1129. 1 indexed citations
3.
4.
Szabó, Hajnalka, Andrea Párniczky, István Balogh, et al.. (2023). Neonatal Screening for Cystic Fibrosis in Hungary—First-Year Experiences. International Journal of Neonatal Screening. 9(3). 47–47. 1 indexed citations
5.
Monostori, Péter, Markus Godejohann, Joachim Janda, et al.. (2022). Identification of potential interferents of methylmalonic acid: A previously unrecognized pitfall in clinical diagnostics and newborn screening. Clinical Biochemistry. 111. 72–80. 5 indexed citations
6.
Szatmári, Ildikó, et al.. (2022). A retrospective analysis of metabolic control in children with PKU in the COVID-19 era. Molecular Genetics and Metabolism Reports. 32. 100897–100897. 3 indexed citations
7.
Gál, Anikó, Zoltán Grosz, Ildikó Szatmári, et al.. (2021). Correlation of GAA Genotype and Acid-α-Glucosidase Enzyme Activity in Hungarian Patients with Pompe Disease. Life. 11(6). 507–507. 1 indexed citations
8.
Szatmári, Ildikó, et al.. (2021). Quality of life in children living with PKU – a single-center, cross-sectional, observational study from Hungary. Molecular Genetics and Metabolism Reports. 29. 100823–100823. 8 indexed citations
9.
Szatmári, Ildikó, et al.. (2019). Laktátszintváltozások diabeteses ketoacidosisban és frissen diagnosztizált 1-es típusú diabetes mellitusban. Orvosi Hetilap. 160(45). 1784–1790. 1 indexed citations
10.
Jermendy, Ágnes, Ildikó Szatmári, Anna Körner, et al.. (2017). Association between interferon-induced helicase (IFIH1) rs1990760 polymorphism and seasonal variation in the onset of type 1 diabetes mellitus. Pediatric Diabetes. 19(2). 300–304. 9 indexed citations
11.
Szabó, Eszter, et al.. (2017). Ritka örökletes anyagcsere-betegségek diagnosztikája: laboratóriumi vizsgálati megközelítések. Orvosi Hetilap. 158(48). 1903–1907. 1 indexed citations
12.
Lengyel, Imre, Fanni Tóth, Dauren Biyashev, et al.. (2016). A novel non-opioid binding site for endomorphin-1.. PubMed. 67(4). 605–616. 7 indexed citations
13.
Szabó, Eszter, Ildikó Szatmári, László Szönyi, & Zoltán Takáts. (2015). Quantitative Analytical Method for the Determination of Biotinidase Activity in Dried Blood Spot Samples. Analytical Chemistry. 87(20). 10573–10578. 4 indexed citations
14.
Dénes, Júlia, Eszter Szabó, Steven L. Robinette, et al.. (2012). Metabonomics of Newborn Screening Dried Blood Spot Samples: A Novel Approach in the Screening and Diagnostics of Inborn Errors of Metabolism. Analytical Chemistry. 84(22). 10113–10120. 64 indexed citations
15.
Szatmári, Ildikó, Dauren Biyashev, Csaba Tömböly, et al.. (2001). Influence of Degradation on Binding Properties and Biological Activity of Endomorphin 1. Biochemical and Biophysical Research Communications. 284(3). 771–776. 19 indexed citations
16.
Szatmári, Ildikó, Géza Tóth, István Kertész, Peter W. Schiller, & Anna Borsodi. (1999). Synthesis and binding characteristics of [3H] H-Tyr-Ticψ[CH2-NH] Cha-Phe-OH, a highly specific and stable δ-opioid antagonist. Peptides. 20(9). 1079–1083. 5 indexed citations
17.
Szatmári, Ildikó, György Orosz, K. Medzihradszky, & Anna Borsodi. (1999). Affinity Labeling of δ Opioid Receptors by an Enkephalin-Derivative Alkylating Agent, DSLET-Mal. Biochemical and Biophysical Research Communications. 265(2). 513–519. 6 indexed citations
18.
Szatmári, Ildikó, György Orosz, András Z. Rónai, et al.. (1999). Irreversible labelling of the opioid receptors by a melphalan-substituted [Met5]enkephalin-Arg-Phe derivative. European Journal of Pharmacology. 373(2-3). 241–249. 3 indexed citations
19.
Szatmári, Ildikó, György Orosz, András Z. Rónai, et al.. (1999). New opioid affinity labels containing maleoyl moiety. Life Sciences. 65(17). 1795–1805. 3 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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