Kinga Molnár

1.1k citations
43 papers · 832 · h-index 14

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Insect Resistance and Genetics 5
    • Alzheimer's disease research and treatments 4
    • Lysosomal Storage Disorders Research 3

Kinga Molnár

41 papers receiving 813 citations

Peers

Kinga Molnár
Comparison fields: 5 of 115
  • Developmental Neuroscience 64
  • Neurology 115
  • Neurology 164
  • Physiology 261
  • Cellular and Molecular Neuroscience 183
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Citations per field
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Citations per year

Countries citing papers authored by Kinga Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Kinga Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kinga Molnár, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kinga Molnár Line = papers co-authored together Kinga Molnár links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017175
2 2014108
3 201790
4 201163
5 200744
6 201840
7 199940
8 202036
9 201932
10 201623
11 200521
12 201815
13 201214
14 202214
15 201813
16 201012
17 199910
18 20228
19 20227
20 20237

About Kinga Molnár

Kinga Molnár is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 43 papers that have together received 832 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (5 papers), Neurobiology and Insect Physiology Research (4 papers), Alzheimer's disease research and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological diseases and metabolism (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Lysosomal Storage Disorders Research (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Developmental Neuroscience (64 citations), Neurology (115 citations), Neurology (164 citations), Physiology (261 citations) and Cellular and Molecular Neuroscience (183 citations). Kinga Molnár has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Lajos László, Gábor G. Kovács, András Dinnyés, Annamária Téglási, Julianna Kobolák, Herbert Budka, István Bock, Abinaya Chandrasekaran, Hasan X. Avci and Anna Ochałek. Their work appears in journals such as Neurobiology of Disease, Acta Neuropathologica, Natural Product Communications, Scientific Reports and Alzheimer s Research & Therapy.

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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