Adrienn Máté

438 total citations
9 papers, 69 citations indexed

About

Adrienn Máté is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adrienn Máté has authored 9 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adrienn Máté's work include Fetal and Pediatric Neurological Disorders (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Adrienn Máté is often cited by papers focused on Fetal and Pediatric Neurological Disorders (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Adrienn Máté collaborates with scholars based in Hungary, Germany and United Kingdom. Adrienn Máté's co-authors include Pál Barzó, Erika Vörös, Zsigmond Tamás Kincses, Csaba Bereczki, Marko Wilke, Till‐Karsten Hauser, Martin Staudt, Karen Lidzba, Alíz Zimmermann and László Sztriha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Experimental Brain Research.

In The Last Decade

Adrienn Máté

9 papers receiving 69 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrienn Máté Hungary 5 25 23 17 16 10 9 69
Nyle Almeida United States 5 18 0.7× 14 0.6× 18 1.1× 3 0.2× 2 0.2× 8 81
Sasha Živković United States 6 17 0.7× 12 0.5× 6 0.4× 9 0.6× 9 0.9× 9 113
Ирина Аркадьевна Бондарь Russia 6 5 0.2× 12 0.5× 14 0.8× 6 0.4× 6 0.6× 26 72
Santiago Candela‐Cantó Spain 6 21 0.8× 11 0.5× 8 0.5× 19 1.2× 2 0.2× 15 72
Natan Bornstein Israel 4 3 0.1× 7 0.3× 10 0.6× 6 0.4× 9 0.9× 7 58
Heather Jarrell United States 6 11 0.4× 6 0.3× 5 0.3× 37 2.3× 7 80
Е. Н. Исаева Russia 5 11 0.4× 2 0.1× 13 0.8× 7 0.4× 5 0.5× 17 52
Lucia Tancredi Italy 3 9 0.4× 3 0.1× 18 1.1× 32 2.0× 11 1.1× 4 119
Miriam Adamovičová Czechia 2 4 0.2× 7 0.3× 12 0.7× 41 2.6× 12 1.2× 2 140
Sylvie Nguyen France 5 7 0.3× 10 0.4× 21 1.2× 15 0.9× 1 0.1× 14 83

Countries citing papers authored by Adrienn Máté

Since Specialization
Citations

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

Fields of papers citing papers by Adrienn Máté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrienn Máté

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

All Works

9 of 9 papers shown
1.
Máté, Adrienn, et al.. (2022). Predicting the true extent of glioblastoma based on probabilistic tractography. Frontiers in Neuroscience. 16. 886465–886465. 8 indexed citations
2.
Kalmár, Tibor, Katalin Szakszon, Zoltán Maróti, et al.. (2020). A Novel Homozygous Frameshift WDR81 Mutation associated with Microlissencephaly, Corpus Callosum Agenesis, and Pontocerebellar Hypoplasia. Journal of Pediatric Genetics. 10(2). 159–163. 3 indexed citations
3.
Máté, Adrienn, et al.. (2018). Connectivity-based segmentation of the brainstem by probabilistic tractography. Brain Research. 1690. 74–88. 3 indexed citations
4.
Kalmár, Tibor, Zoltán Maróti, Alíz Zimmermann, et al.. (2018). Co-occurrence of mutations in FOXP1 and PTCH1 in a girl with extreme megalencephaly, callosal dysgenesis and profound intellectual disability. Journal of Human Genetics. 63(11). 1189–1193. 2 indexed citations
5.
Carter, Jennifer, et al.. (2016). De Novo Interstitial Microdeletion at 1q32.1 in a 10-Year-Old Boy with Developmental Delay and Dysmorphism. SHILAP Revista de lepidopterología. 2016. 1–3. 3 indexed citations
6.
Máté, Adrienn, Karen Lidzba, Till‐Karsten Hauser, Martin Staudt, & Marko Wilke. (2015). A “one size fits all” approach to language fMRI: increasing specificity and applicability by adding a self-paced component. Experimental Brain Research. 234(3). 673–684. 10 indexed citations
7.
Máté, Adrienn, et al.. (2014). The Role of Probabilistic Tractography in the Surgical Treatment of Thalamic Gliomas. Operative Neurosurgery. 10(2). 262–272. 22 indexed citations
8.
Máté, Adrienn, et al.. (2014). Spectrum of Neurodevelopmental Disabilities. Journal of Child Neurology. 30(3). 344–356. 5 indexed citations
9.
Monostori, Péter, Ákos Baráth, Adrienn Máté, et al.. (2010). Microvascular reactivity in lean, overweight, and obese hypertensive adolescents. European Journal of Pediatrics. 169(11). 1369–1374. 13 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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