Ján Necpál
Impact in
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- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neurological diseases and metabolism
Papers in
- Neurology 14
- Parkinson's Disease Mechanisms and Treatments 9
- Neurological disorders and treatments 9
- Neurological diseases and metabolism 5
- Botulinum Toxin and Related Neurological Disorders 3
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- Genetic Neurodegenerative Diseases 8
- Hereditary Neurological Disorders 1
- Co-authors
- Matěj Škorvánek (8 shared papers)Petra Havránková (5 shared papers)Michael Zech (6 shared papers)Robert Jech (6 shared papers)Juliane Winkelmann (4 shared papers)Vladimír Haň (5 shared papers)Anna Fečíková (1 shared paper)Ján Benetin (1 shared paper)
In The Last Decade
Ján Necpál
17 papers receiving 87 citations
Peers
Comparison fields: 5 of 39
- Medical Terminology 1
- Neurology 42
- Neurology 11
- Cellular and Molecular Neuroscience 24
- Psychiatry and Mental health 10
Countries citing papers authored by Ján Necpál
This map shows the geographic impact of Ján Necpál'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 Ján Necpál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Necpál more than expected).
Fields of papers citing papers by Ján Necpál
This network shows the impact of papers produced by Ján Necpál. 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 Ján Necpál. The network helps show where Ján Necpál may publish in the future.
Co-authors
The 25 scholars most cited alongside Ján Necpál, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 14 | |
| 2 | 2017 | 13 | |
| 3 | 2021 | 10 | |
| 4 | 2016 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 9 | |
| 7 | 2015 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2024 | 0 | |
| 19 | Klinicko-genetická heterogenita dopa-responzívnej dystónie | 2015 | 0 |
About Ján Necpál
Ján Necpál is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Genetics, having authored 19 papers that have together received 87 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Neurological disorders and treatments (9 papers), Genetic Neurodegenerative Diseases (8 papers), Neurological diseases and metabolism (5 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Hereditary Neurological Disorders (1 paper), Restless Legs Syndrome Research (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Medical Terminology (1 citation), Neurology (42 citations), Neurology (11 citations), Cellular and Molecular Neuroscience (24 citations) and Psychiatry and Mental health (10 citations). Ján Necpál has collaborated with scholars based in Slovakia, Czechia and Germany. Frequent co-authors include Matěj Škorvánek, Petra Havránková, Michael Zech, Robert Jech, Juliane Winkelmann, Vladimír Haň, Anna Fečíková, Ján Benetin, Vladimír Nosáľ and Sylvia Boesch. Their work appears in journals such as Parkinsonism & Related Disorders, Cortex, Physiological Research, BMC Neurology and Journal of Neural Transmission.
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.