Mária Judit Molnár

3.8k total citations
142 papers, 1.9k citations indexed

About

Mária Judit Molnár is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Mária Judit Molnár has authored 142 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 27 papers in Cellular and Molecular Neuroscience and 24 papers in Neurology. Recurrent topics in Mária Judit Molnár's work include Mitochondrial Function and Pathology (28 papers), Neurological diseases and metabolism (19 papers) and Genetic Neurodegenerative Diseases (17 papers). Mária Judit Molnár is often cited by papers focused on Mitochondrial Function and Pathology (28 papers), Neurological diseases and metabolism (19 papers) and Genetic Neurodegenerative Diseases (17 papers). Mária Judit Molnár collaborates with scholars based in Hungary, Germany and United States. Mária Judit Molnár's co-authors include Gábor G. Kovács, J. M. Schröder, Anikó Gál, Herbert Budka, Péter Diószeghy, Katalin Majtényi, Jill R. Murrell, Salvatore Spina, Bernardino Ghetti and Zoltán Grosz and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Mária Judit Molnár

134 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mária Judit Molnár Hungary 24 992 377 279 262 233 142 1.9k
Grace Yoon Canada 25 1.4k 1.4× 212 0.6× 632 2.3× 364 1.4× 123 0.5× 97 2.1k
A. Gélot France 26 1.1k 1.1× 210 0.6× 465 1.7× 385 1.5× 107 0.5× 77 2.7k
Jillian S. Parboosingh Canada 29 936 0.9× 218 0.6× 215 0.8× 617 2.4× 86 0.4× 85 2.0k
Jacek Zaremba Poland 22 881 0.9× 361 1.0× 451 1.6× 328 1.3× 91 0.4× 97 1.9k
Elisabeth Graf Germany 25 1.2k 1.2× 136 0.4× 207 0.7× 411 1.6× 268 1.2× 45 2.8k
Ivana Novaković Serbia 22 573 0.6× 286 0.8× 292 1.0× 144 0.5× 75 0.3× 146 1.4k
Thierry Billette de Villemeur France 27 1.0k 1.0× 222 0.6× 210 0.8× 233 0.9× 320 1.4× 111 2.4k
Ronen Spiegel Israel 26 884 0.9× 172 0.5× 115 0.4× 335 1.3× 338 1.5× 97 1.9k
Carlo Fusco Italy 21 565 0.6× 270 0.7× 276 1.0× 258 1.0× 106 0.5× 118 1.8k
Belén Pérez‐Dueñas Spain 28 847 0.9× 408 1.1× 236 0.8× 334 1.3× 853 3.7× 109 2.0k

Countries citing papers authored by Mária Judit Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Mária Judit Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mária Judit Molnár. 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 Mária Judit Molnár. The network helps show where Mária Judit Molnár may publish in the future.

Co-authorship network of co-authors of Mária Judit Molnár

This figure shows the co-authorship network connecting the top 25 collaborators of Mária Judit Molnár. A scholar is included among the top collaborators of Mária Judit Molnár 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 Mária Judit Molnár. Mária Judit Molnár 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.
Varsányi, Balázs, Mirella Telles Salgueiro Barboni, Ágnes I. Takács, et al.. (2025). Insights into eye genetics and recent advances in ocular gene therapy. Molecular and Cellular Probes. 79. 102008–102008. 2 indexed citations
2.
Engelhardt, József I., et al.. (2024). Beyond C9orf72: repeat expansions and copy number variations as risk factors of amyotrophic lateral sclerosis across various populations. BMC Medical Genomics. 17(1). 30–30. 8 indexed citations
3.
Boros, Fanni Annamária, László Szpisjak, Dénes Zádori, et al.. (2023). Spinocerebellar Ataxia in a Hungarian Female Patient with a Novel Variant of Unknown Significance in the CCDC88C Gene. International Journal of Molecular Sciences. 24(3). 2617–2617. 2 indexed citations
4.
Molnár, Viktor, et al.. (2023). The improvement of motor symptoms in Huntington’s disease during cariprazine treatment. Orphanet Journal of Rare Diseases. 18(1). 375–375. 4 indexed citations
5.
Molnár, Viktor, András Gézsi, Zoltán Grosz, et al.. (2022). Genetic landscape of early-onset dementia in Hungary. Neurological Sciences. 43(9). 5289–5300. 5 indexed citations
6.
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
7.
8.
Rudas, Gábor, Anikó Gál, Zoltán Grosz, et al.. (2019). Broadening the phenotype of the TWNK gene associated Perrault syndrome. BMC Medical Genetics. 20(1). 198–198. 15 indexed citations
9.
Beke, Artúr, Henriett Pikó, Irén Haltrich, et al.. (2018). Study of patterns of inheritance of premature ovarian failure syndrome carrying maternal and paternal premutations. BMC Medical Genetics. 19(1). 113–113. 1 indexed citations
10.
Moldován, Norbert, Dóra Tombácz, Attila Szűcs, et al.. (2018). Third-generation Sequencing Reveals Extensive Polycistronism and Transcriptional Overlapping in a Baculovirus. Scientific Reports. 8(1). 8604–8604. 40 indexed citations
11.
Varga, Edina, Zoltán Grosz, Benjámin Bereznai, et al.. (2016). Three novel mutations and genetic epidemiology analysis of the Gap Junction Beta 1 (GJB1) gene among Hungarian Charcot-Marie-Tooth disease patients. Neuromuscular Disorders. 26(10). 706–711. 6 indexed citations
12.
Pulay, Attila J., Anikó Égerházi, P.Z. Álmos, et al.. (2016). [Investigation of CNTF, COMT, DDR1, DISC1, DRD2, DRD3, and DTNBP1 candidate genes in schizophrenia: Results from the Hungarian SCHIZOBANK Consortium].. PubMed. 18(4). 181–187. 7 indexed citations
13.
Kahán, Zsuzsanna, et al.. (2016). [Breast cancer: patient care, rehabilitation, psychooncology].. PubMed. 60(3). 258–68. 1 indexed citations
14.
Grosz, Zoltán, Michael Gonzalez, Anikó Gál, et al.. (2016). Genetic background of the hereditary spastic paraplegia phenotypes in Hungary — An analysis of 58 probands. Journal of the Neurological Sciences. 364. 116–121. 24 indexed citations
15.
Dobolyi, Árpád, Elsebet Østergaard, Attila G. Bagó, et al.. (2013). Exclusive neuronal expression of SUCLA2 in the human brain. Brain Structure and Function. 220(1). 135–151. 16 indexed citations
16.
Bereznai, Benjámin, Annamária Takáts, Péter Klivènyi, et al.. (2012). [The absence of the common LRRK2 G2019S mutation in 120 young onset Hungarian Parkinon's disease patients].. PubMed. 65(7-8). 239–42. 2 indexed citations
17.
Molnár, Mária Judit. (2009). INCOME OF HOUSEHOLDS WITH CHILDREN AND CHILD POVERTY. RePEc: Research Papers in Economics. 28(1). 168–194. 1 indexed citations
18.
Bereznai, Benjámin & Mária Judit Molnár. (2009). [Genetics and present therapy options in Parkinson's disease: a review].. PubMed. 62(5-6). 155–63. 3 indexed citations
19.
Molnár, Mária Judit, et al.. (2007). [Hereditary motor and sensory Lom-neuropathy--first Hungarian case report].. PubMed. 60(1-2). 51–5. 2 indexed citations
20.
Pallagi, Edina, Mária Judit Molnár, Péter Molnár, & Péter Diószeghy. (1998). Central core and nemaline rods in the same patient. Acta Neuropathologica. 96(2). 211–214. 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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