Zsófia I. László

1.1k citations
9 papers · 209 · h-index 9

Impact in

    • Advanced Electron Microscopy Techniques and Applications
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Amyotrophic Lateral Sclerosis Research

Papers in

Zsófia I. László

9 papers receiving 206 citations

Peers

Zsófia I. László
Comparison fields: 5 of 59
  • Structural Biology 12
  • Neurology 46
  • Biophysics 31
  • Developmental Neuroscience 16
  • Cellular and Molecular Neuroscience 56
Replace Andrew Kneynsberg with:
Andrew Kneynsberg United States
Yoko Ishida Japan
Adekunle T. Bademosi Australia
Akitoshi Miyamoto Japan
Belvin Gong United States
Bension S. Tilley United Kingdom
Gabriela Plucińska Germany
Audrey Coens France
Zachary J. Farino United States
Zsófia I. László relative to Andrew Kneynsberg United States Andrew Kneynsberg's profile →
Citations per field
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Andrew Kneynsberg · 1×
Citations per year

Countries citing papers authored by Zsófia I. László

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1 201554
2 202243
3 202226
4 202221
5 202020
6 202017
7 202210
8 20199
9 20239

About Zsófia I. László

Zsófia I. László is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Neurology and Neurology, having authored 9 papers that have together received 209 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Nerve injury and regeneration (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Structural Biology (12 citations), Neurology (46 citations), Biophysics (31 citations), Developmental Neuroscience (16 citations) and Cellular and Molecular Neuroscience (56 citations). Zsófia I. László has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include István Katona, Zsolt Lele, L Barna, Barna Dudok, Csaba Cserép, Christopher M. Henstridge, Anett D. Schwarcz, Zsuzsanna Környei, Ádám Dénes and Balázs Pósfai. Their work appears in journals such as Cerebral Cortex, Nature Protocols, Cell Reports, Acta Neuropathologica Communications and Frontiers in Neuroscience.

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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