Mária Judit Molnár

3.8k citations
142 papers · 1.9k indexed · h-index 24
Topics
Mitochondrial Function and Pathology (28 papers)Neurological diseases and metabolism (19 papers)Genetic Neurodegenerative Diseases (17 papers)

In The Last Decade

Mária Judit Molnár

134 papers receiving 1.8k citations

Peers

Mária Judit Molnár
Comparison fields: 5 of 132
  • Molecular Biology 992
  • Neurology 377
  • Cellular and Molecular Neuroscience 279
  • Genetics 262
  • Clinical Biochemistry 233
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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
#WorkIndexed citations
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2 8
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11
[Investigation of CNTF, COMT, DDR1, DISC1, DRD2, DRD3, and DTNBP1 candidate genes in schizophrenia: Results from the Hungarian SCHIZOBANK Consortium].
7
12
[Breast cancer: patient care, rehabilitation, psychooncology].
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13 24
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[The absence of the common LRRK2 G2019S mutation in 120 young onset Hungarian Parkinon's disease patients].
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[Genetics and present therapy options in Parkinson's disease: a review].
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18
INCOME OF HOUSEHOLDS WITH CHILDREN AND CHILD POVERTY
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19 89
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[Hereditary motor and sensory Lom-neuropathy--first Hungarian case report].
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About Mária Judit Molnár

Mária Judit Molnár is a scholar working on Neurology, Clinical Biochemistry and Neurology, having authored 142 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (28 papers), Neurological diseases and metabolism (19 papers) and Genetic Neurodegenerative Diseases (17 papers). The work is most often cited by research in Clinical Biochemistry (233 citations), Neurology (377 citations) and Neurology (183 citations). Mária Judit Molnár has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Gábor G. Kovács, J. M. Schröder, Anikó Gál, Herbert Budka, Péter Diószeghy, Katalin Majtényi, Jill R. Murrell, Bernardino Ghetti, Salvatore Spina and Zoltán Grosz. Their work appears in journals such as PLoS ONE, Neurology and Scientific Reports.

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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