Gabriella Pál

446 total citations
7 papers, 344 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 344 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), Barrier Structure and Function Studies (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Gabriella Pál is often cited by papers focused on TGF-β signaling in diseases (3 papers), Barrier Structure and Function Studies (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Gabriella Pál collaborates with scholars based in Hungary, Pakistan and Singapore. Gabriella Pál's co-authors include Árpád Dobolyi, Gábor Lovas, Csilla Vincze, Zsolt Nagy, Edina A. Wappler-Guzzetta, Éva Renner, Éva Szabó, 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 343 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gabriella Pál Hungary 7 147 132 65 57 49 7 344
Yang Sui Japan 8 217 1.5× 132 1.0× 91 1.4× 77 1.4× 42 0.9× 13 445
Andrew Lapato United States 11 173 1.2× 121 0.9× 151 2.3× 57 1.0× 36 0.7× 12 405
Cathy Jensen Belgium 9 102 0.7× 105 0.8× 58 0.9× 68 1.2× 27 0.6× 11 363
Wendy Klément Canada 11 148 1.0× 99 0.8× 35 0.5× 72 1.3× 27 0.6× 20 337
Aaron M. Williams United States 6 161 1.1× 126 1.0× 110 1.7× 56 1.0× 22 0.4× 9 373
Stefan A. Berghoff Germany 9 128 0.9× 152 1.2× 76 1.2× 58 1.0× 40 0.8× 13 397
Antony Brayan Campos-Salazar United States 6 190 1.3× 67 0.5× 73 1.1× 38 0.7× 30 0.6× 9 314
Esther Zeinstra Netherlands 10 198 1.3× 112 0.8× 127 2.0× 85 1.5× 36 0.7× 13 453
Isabel Bravo‐Ferrer Spain 6 112 0.8× 94 0.7× 81 1.2× 62 1.1× 20 0.4× 9 317
Christine Couch United States 9 87 0.6× 184 1.4× 44 0.7× 40 0.7× 59 1.2× 10 381

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

7 of 7 papers shown
1.
Máthé, Domokos, Krisztián Szigeti, Nikolett Hegedűs, et al.. (2020). Direct myosin-2 inhibition enhances cerebral perfusion resulting in functional improvement after ischemic stroke. Theranostics. 10(12). 5341–5356. 10 indexed citations
2.
Barna, János, et al.. (2019). Complement component 1q subcomponent binding protein in the brain of the rat. Scientific Reports. 9(1). 4597–4597. 13 indexed citations
3.
Nardai, Sándor, Árpád Dobolyi, Gabriella Pál, et al.. (2015). Selegiline promotes NOTCH-JAGGED signaling in astrocytes of the peri-infarct region and improves the functional integrity of the neurovascular unit in a rat model of focal ischemia. Restorative Neurology and Neuroscience. 33(1). 1–14. 16 indexed citations
4.
Pál, Gabriella, Gábor Lovas, & Árpád Dobolyi. (2014). Induction of Transforming Growth Factor Beta Receptors following Focal Ischemia in the Rat Brain. PLoS ONE. 9(9). e106544–e106544. 27 indexed citations
5.
Pál, Gabriella, Csilla Vincze, Éva Renner, et al.. (2012). Time Course, Distribution and Cell Types of Induction of Transforming Growth Factor Betas following Middle Cerebral Artery Occlusion in the Rat Brain. PLoS ONE. 7(10). e46731–e46731. 43 indexed citations
6.
Dobolyi, Árpád, Csilla Vincze, Gabriella Pál, & Gábor Lovas. (2012). The Neuroprotective Functions of Transforming Growth Factor Beta Proteins. International Journal of Molecular Sciences. 13(7). 8219–8258. 191 indexed citations
7.
Vincze, Csilla, Gabriella Pál, Edina A. Wappler-Guzzetta, et al.. (2010). Distribution of mRNAs encoding transforming growth factors‐β1, ‐2, and ‐3 in the intact rat brain and after experimentally induced focal ischemia. The Journal of Comparative Neurology. 518(18). 3752–3770. 44 indexed citations

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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