Rita Maszlag-Török

451 citations
19 papers · 291 indexed · h-index 11
Topics
Mitochondrial Function and Pathology (6 papers)Genetic Neurodegenerative Diseases (6 papers)Adipose Tissue and Metabolism (4 papers)
Partner nations
HungaryAustriaCanada

In The Last Decade

Rita Maszlag-Török

19 papers receiving 287 citations

Peers

Rita Maszlag-Török
Comparison fields: 5 of 63
  • Molecular Biology 129
  • Neurology 64
  • Physiology 55
  • Pathology and Forensic Medicine 48
  • Biological Psychiatry 48
Replace Fanni Annamária Boros with:
Fanni Annamária Boros Hungary
Coral J. Cintrón-Pérez United States
Enji Zhang South Korea
Danying Yang China
Neelima Gupta Singapore
Nicole A. Jackman United States
Mark E. Maynard United States
Yuanteng Fan China
Daniela Gonçalves Brazil
Adva Hadar Israel
Rita Maszlag-Török relative to Fanni Annamária Boros Hungary Fanni Annamária Boros's profile →
Citations per field
00.5×10×15×
Fanni Annamária Boros · 1×
Citations per year

Countries citing papers authored by Rita Maszlag-Török

Since Specialization
Citations

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

Fields of papers citing papers by Rita Maszlag-Török

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Maszlag-Török. 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 Rita Maszlag-Török. The network helps show where Rita Maszlag-Török may publish in the future.

Co-authorship network of co-authors of Rita Maszlag-Török

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Maszlag-Török. A scholar is included among the top collaborators of Rita Maszlag-Török 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 Rita Maszlag-Török. Rita Maszlag-Török 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
#WorkIndexed citations
1 11
2 22
3 23
4 6
5 48
6 7
7 6
8 5
9 7
10 12
11 14
12 8
13 9
14 13
15 20
16 14
17 13
18 47
19 6

About Rita Maszlag-Török

Rita Maszlag-Török is a scholar working on Biological Psychiatry, Geriatrics and Gerontology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 291 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Biological Psychiatry (48 citations), Geriatrics and Gerontology (26 citations) and Neurology (64 citations). Rita Maszlag-Török has collaborated with scholars based in Hungary, Austria and Canada. Frequent co-authors include Péter Klivènyi, László Vécsei, Fanni Annamária Boros, Levente Szalárdy, Dénes Zádori, Nóra Török, Zoltán Szolnoki, Ferenc Somogyvári, Gábor Veres and Gábor G. Kovács. Their work appears in journals such as Scientific Reports, Brain Research and Epilepsia.

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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