Zsófia I. László
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Physiology top 10%
- Adenosine and Purinergic Signaling
- Alzheimer's disease research and treatments
Papers in
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- Neurogenesis and neuroplasticity mechanisms 4
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- Amyotrophic Lateral Sclerosis Research 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Zsolt Lele (4 shared papers)István Katona (5 shared papers)Laszlo Barna (1 shared paper)Barna Dudok (1 shared paper)Christopher M. Henstridge (3 shared papers)Zsuzsanna Környei (1 shared paper)Ádám Dénes (1 shared paper)Balázs Pósfai (1 shared paper)
- Journals
- Cerebral Cortex (2 papers)Nature Communications (1 paper)Frontiers in Neuroscience (1 paper)Acta Neuropathologica (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Zsófia I. László
10 papers receiving 738 citations
Zsófia I. László's Hit Papers
Peers
Comparison fields: 5 of 64
- Neurology 396
- Physiology 40
- Developmental Neuroscience 28
- Biological Psychiatry 8
- Biophysics 37
Countries citing papers authored by Zsófia I. László
This map shows the geographic impact of Zsófia I. László'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 Zsófia I. László with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsófia I. László more than expected).
Fields of papers citing papers by Zsófia I. László
This network shows the impact of papers produced by Zsófia I. László. 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 Zsófia I. László. The network helps show where Zsófia I. László may publish in the future.
Co-authors
The 25 scholars most cited alongside Zsófia I. László, 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 | Microglia monitor and protect neuronal function through specialized somatic purinergic junctions Hit paper breakdown → | 2019 | 513 |
| 2 | 2015 | 58 | |
| 3 | 2022 | 45 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 8 |
About Zsófia I. László
Zsófia I. László is a scholar working on Developmental Neuroscience, Neurology, Neurology, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 10 papers that have together received 746 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Epilepsy research and treatment (1 paper), Cell Adhesion Molecules Research (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Neurology (396 citations), Physiology (40 citations), Developmental Neuroscience (28 citations), Biological Psychiatry (8 citations) and Biophysics (37 citations). Zsófia I. László has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Zsolt Lele, István Katona, Laszlo Barna, Barna Dudok, Christopher M. Henstridge, Zsuzsanna Környei, Ádám Dénes, Balázs Pósfai, Anett D. Schwarcz and Douglas J. Lamont. Their work appears in journals such as Cerebral Cortex, Nature Communications, Frontiers in Neuroscience, Acta Neuropathologica and International Journal of Molecular Sciences.
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.