Gábor Lovas

1.9k citations
21 papers · 735 · h-index 9

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Peripheral Neuropathies and Disorders

Papers in

Gábor Lovas

21 papers receiving 724 citations

Peers

Gábor Lovas
Comparison fields: 5 of 92
  • Developmental Neuroscience 129
  • Neurology 198
  • Biological Psychiatry 32
  • Pathology and Forensic Medicine 200
  • Cellular and Molecular Neuroscience 157
Replace Michael Namaka with:
Michael Namaka Canada
Erica Butti Italy
Dengji Pan China
Francesca Cavasinni Italy
Paul D. Storer United States
Dipankar J. Dutta United States
Xiangmin Peng United States
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Maria‐Eleftheria Evangelopoulos Greece
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Gábor Lovas

Since Specialization
Citations

This map shows the geographic impact of Gábor Lovas'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 Gábor Lovas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Lovas more than expected).

Fields of papers citing papers by Gábor Lovas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gábor Lovas. 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 Gábor Lovas. The network helps show where Gábor Lovas may publish in the future.

Co-authors

The 25 scholars most cited alongside Gábor Lovas, 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 Gábor Lovas Line = papers co-authored together Gábor Lovas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000270
2 2012194
3 201044
4 201244
5 201439
6 200837
7 201131
8 201427
9 199411
10 20047
11 20106
12 19966
13 20004
14 19903
15 20013
16
Neuroprotective effect of GYKI 52466 on AMPA-induced neurotoxicity in rat striatum.
19983
17 20102
18 20111
19 19981
20 20021

About Gábor Lovas

Gábor Lovas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Neurology, having authored 21 papers that have together received 735 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Axon Guidance and Neuronal Signaling (3 papers), TGF-β signaling in diseases (3 papers), Congenital heart defects research (2 papers), Barrier Structure and Function Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (129 citations), Neurology (198 citations), Biological Psychiatry (32 citations), Pathology and Forensic Medicine (200 citations) and Cellular and Molecular Neuroscience (157 citations). Gábor Lovas has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Árpád Dobolyi, Gabriella Pál, Miklós Palkovits, Csilla Vincze, S. Komoly, Nóra Szilágyi, Katalin Majtényi, Zsolt Nagy, Edina A. Wappler-Guzzetta and Zsolt Kovács. Their work appears in journals such as Neuroscience, PLoS ONE, Glia, International Journal of Molecular Sciences and Journal of Neurochemistry.

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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