Gabriella Pál

8 total papers · 438 total citations
7 papers, 340 citations indexed

About

Gabriella Pál is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gabriella Pál has authored 7 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gabriella Pál's work include TGF-β signaling in diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Barrier Structure and Function Studies (2 papers). Gabriella Pál is often cited by papers focused on TGF-β signaling in diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Barrier Structure and Function Studies (2 papers). Gabriella Pál collaborates with scholars based in Hungary, Singapore and Pakistan. Gabriella Pál's co-authors include Árpád Dobolyi, Gábor Lovas, Csilla Vincze, Zsolt Nagy, Edina A. Wappler-Guzzetta, Éva Szabó, Éva Renner, Béla Merkely, Sándor Nardai and Nándor Pintér and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Gabriella Pál

7 papers receiving 339 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriella Pál 144 132 64 57 48 7 340
Sangseop Kim 140 1.0× 116 0.9× 86 1.3× 38 0.7× 50 1.0× 9 358
Miranda Aalderink 176 1.2× 115 0.9× 62 1.0× 45 0.8× 44 0.9× 9 351
Georgia Fodelianaki 110 0.8× 100 0.8× 74 1.2× 54 0.9× 29 0.6× 6 340
Beata Kaza 94 0.7× 138 1.0× 67 1.0× 61 1.1× 22 0.5× 10 305
Cathy Jensen 101 0.7× 104 0.8× 57 0.9× 68 1.2× 28 0.6× 11 361
Xiaodong Hua 142 1.0× 155 1.2× 102 1.6× 35 0.6× 48 1.0× 9 398
Assia Fafouri 82 0.6× 118 0.9× 50 0.8× 50 0.9× 23 0.5× 6 324
Aaron M. Williams 161 1.1× 123 0.9× 108 1.7× 56 1.0× 22 0.5× 9 369
Stefan A. Berghoff 127 0.9× 152 1.2× 76 1.2× 58 1.0× 40 0.8× 12 388
Núria Gaja‐Capdevila 187 1.3× 127 1.0× 102 1.6× 71 1.2× 46 1.0× 10 338

Countries citing papers authored by Gabriella Pál

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Pál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Pál

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Pál. A scholar is included among the top collaborators of Gabriella Pál 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 Gabriella Pál. Gabriella Pál is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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