Kinga Molnár
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 10
- Alzheimer's disease research and treatments 4
- Lysosomal Storage Disorders Research 3
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- Parkinson's Disease Mechanisms and Treatments 4
- Neurological diseases and metabolism 3
- Co-authors
- Lajos László (17 shared papers)Gábor Géza Kovács (8 shared papers)András Dinnyés (5 shared papers)Julianna Kobolák (5 shared papers)Annamária Téglási (4 shared papers)Herbert Budka (5 shared papers)Anna Ochałek (2 shared papers)Abinaya Chandrasekaran (2 shared papers)
In The Last Decade
Kinga Molnár
42 papers receiving 859 citations
Peers
Comparison fields: 5 of 116
- Developmental Neuroscience 65
- Neurology 122
- Neurology 181
- Physiology 276
- Cellular and Molecular Neuroscience 188
Countries citing papers authored by Kinga Molnár
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
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.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2014 | 113 | |
| 3 | 2017 | 96 | |
| 4 | 2011 | 74 | |
| 5 | 2007 | 49 | |
| 6 | 1999 | 40 | |
| 7 | 2018 | 40 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 36 | |
| 10 | 2016 | 25 | |
| 11 | 2005 | 22 | |
| 12 | 2018 | 17 | |
| 13 | 2012 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2010 | 12 | |
| 17 | 1999 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Kinga Molnár
Kinga Molnár is a scholar working on Physiology, Neurology, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 44 papers that have together received 884 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (5 papers), Alzheimer's disease research and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Neurological diseases and metabolism (3 papers), Lysosomal Storage Disorders Research (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Neurology (122 citations), Neurology (181 citations), Physiology (276 citations) and Cellular and Molecular Neuroscience (188 citations). Kinga Molnár has collaborated with scholars based in Hungary, Austria and Japan. Frequent co-authors include Lajos László, Gábor Géza Kovács, András Dinnyés, Julianna Kobolák, Annamária Téglási, Herbert Budka, Anna Ochałek, Abinaya Chandrasekaran, István Bock and Hasan X. Avci. Their work appears in journals such as Acta Neuropathologica, Neurobiology of Disease, Scientific Reports, Natural Product Communications and Journal of Neuropathology & Experimental Neurology.
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.