Magdolna Pákáski
- Physiology top 5%
- Psychiatry and Mental health top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Pharmacology top 5%
- Co-authors
- János KálmánIldikó HoffmannP. KásaVeronika VinczeZoltán JankaGréta SzatlóczkiGábor GosztolyaLászló Tóth
- Topics
- Alzheimer's disease research and treatments (33 papers)Dementia and Cognitive Impairment Research (22 papers)Cholinesterase and Neurodegenerative Diseases (18 papers)
- Partner nations
- HungaryUnited StatesSlovakia
In The Last Decade
Magdolna Pákáski
95 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Physiology 696
- Psychiatry and Mental health 510
- Molecular Biology 491
- Cognitive Neuroscience 409
- Pharmacology 353
Countries citing papers authored by Magdolna Pákáski
This map shows the geographic impact of Magdolna Pákáski'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 Magdolna Pákáski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magdolna Pákáski more than expected).
Fields of papers citing papers by Magdolna Pákáski
This network shows the impact of papers produced by Magdolna Pákáski. 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 Magdolna Pákáski. The network helps show where Magdolna Pákáski may publish in the future.
Co-authorship network of co-authors of Magdolna Pákáski
This figure shows the co-authorship network connecting the top 25 collaborators of Magdolna Pákáski. A scholar is included among the top collaborators of Magdolna Pákáski 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 Magdolna Pákáski. Magdolna Pákáski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Temporal Speech Parameters Indicate Early Cognitive Decline in Elderly Patients With Type 2 Diabetes Mellitus | 6 |
| 4 | The Role of Silence in Verbal Fluency Tasks – A New Approach for the Detection of Mild Cognitive Impairment | 7 |
| 5 | 16 | |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 19 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | [Achetylcholinesterase (AChE) inhibition and serum lipokines in Alzheimer's disease: friend or foe?]. | 4 |
| 12 | 1 | |
| 13 | [Acute and chronic stress induced changes in gene transcriptions related to Alzheimer's disease]. | 5 |
| 14 | 62 | |
| 15 | 4 | |
| 16 | 130 | |
| 17 | 154 | |
| 18 | 14 | |
| 19 | 16 | |
| 20 | 34 |
About Magdolna Pákáski
Magdolna Pákáski is a scholar working on Biological Psychiatry, Physiology and Psychiatry and Mental health, having authored 100 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (33 papers), Dementia and Cognitive Impairment Research (22 papers) and Cholinesterase and Neurodegenerative Diseases (18 papers). The work is most often cited by research in Biological Psychiatry (158 citations), Psychiatry and Mental health (510 citations) and Behavioral Neuroscience (101 citations). Magdolna Pákáski has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include János Kálmán, János Kálmán, Ildikó Hoffmann, P. Kása, Veronika Vincze, Zoltán Janka, Gréta Szatlóczki, Gábor Gosztolya, László Tóth and Anna Juhász. Their work appears in journals such as PLoS ONE, Brain Research and Biochemical and Biophysical Research Communications.
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.